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cbs01010101 · 9 months

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Unlocking Business Potential with SAP S/4 HANA: A Closer Look at the Intelligent ERP Solution

The advancement in technology is resulting in providing enough options to businesses, like SAP S/4 HANA. Now you can select from the many choices when it comes to planning and managing resources. Improved capabilities for communication and automation for SMEs have now become a necessity to choose correctly.

There is no secret that digital transformation is intimidating. However, the latest ERP systems make it possible to achieve. Tech companies that realize the potential have already started implementing SAP S/4 HANA. It provides new opportunities to businesses and helps them to get a competitive edge in today's era.

Growth of SAP

SAP has already started its innovative products after the 21st century. It has brought a global economy. Digital transformation enables companies to integrate systems wherever they want and whenever they need. This means that it provides an unparalleled level of customizability while choosing these models.

The design experts and experienced engineers at SAP are making use of new solutions and incorporating best practices to leverage the utmost benefits. The rise of SAP can be helpful for enterprises to bring positive change. Implementing the latest and cutting Edge ERP module has increased the number of benefits.

What do you mean by SAP S/4 HANA?

SAP S/4 HANA is the latest technological development. Enterprises and industries have started realizing the potential of the latest ERP solution with an easy interface. It is known for improved capabilities like the Internet of Things, artificial intelligence, machine learning, and Blockchain. Thus, ensuring excellent results with the implementation of this system.

Another excellent quality of the ERP system is HANA itself. It makes use of an in-memory database for storing data directly in the main component of the memory. Therefore, it can drastically reduce the response time and perform even better with more traffic. There are several other benefits of using a HANA database based on the industry and company.

It has improved capabilities for data compression and product tracking and provides better access to caches. Additionally, companies can enjoy real-time bidding for products with higher demand than online ads.

SAP HANA is definitely a great starting point to unlock the many potentials while reducing inefficiency in businesses.

SAP HANA helps to leverage the business's potential

It contains a significant level of enhancement. This is why SAP S/4HANA is known to be the best choice to unveil the real possibility of businesses. It has been designed meticulously with the right processes and components to make it beneficial for companies. Following are some of the specific features that become advantages for any business.

Fiori interface:

The Fiori interface of SAP has revolutionized user experience for customers, business partners, enterprise employees, and other stakeholders. It helps teams to design and develop applications. It can also reduce the development cost to 80%, and help professionals focus more on security and performance.

Analytics:

The embedded analytical information that one can get from this improved SAP module can be beneficial for organizations. There is no secret that communication is one of the most common problems for organizations due to the different departments. The HANA system not only offers actionable and accurate data insight, but the analytics embedded in this system helps to get a proper view of the performance.

Conclusion: It requires choosing the right product for companies to walk hand-in-hand with the competition. Therefore, it is vital for customers and businesses to realize the potential of SAP HANA and implement this ERP solution to unlock true business potential.

#sap business one #sap s/4hana #sapconsultant #sap solutions #sap software

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intiviontechnologies · 7 months

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Enhancing Broker Performance with Forex CRM Solutions

In the ever-evolving world of foreign exchange trading, brokers are constantly seeking ways to improve their efficiency and deliver exceptional services to their clients. One invaluable tool that has emerged in recent years is Forex CRM, designed to meet the unique needs of Forex brokers. In this article, we will explore the significance of Forex CRM for brokers and the role of Forex CRM providers in enhancing their operations.

What is Forex CRM?

Forex Customer Relationship Management (CRM) is a specialized software solution tailored for forex brokers. It acts as a central hub for managing client interactions, trading activities, and administrative tasks. Forex CRM systems are designed to streamline operations, improve communication, and boost overall efficiency, which are crucial for success in the highly competitive forex market.

The Role of Forex CRM for Brokers:

· Client Management: Forex CRM enables brokers to efficiently onboard and manage clients. This includes tracking client information, managing accounts, and monitoring trading activities. With comprehensive client profiles, brokers can offer personalized services and support, building strong, long-lasting relationships.

· Communication: Effective communication is vital in forex trading. Forex CRM systems provide tools for real-time communication, including email, chat, and notifications, ensuring brokers can promptly respond to client inquiries and provide updates on market conditions.

· Trade Monitoring: Brokers can track client trades in real-time, allowing for immediate intervention or assistance if needed. This feature helps brokers prevent margin calls, minimize risks, and optimize trading strategies.

· Marketing and Analytics: Forex CRM solutions often come with built-in marketing and analytics tools. These tools enable brokers to create targeted marketing campaigns and track their success, helping them attract and retain clients.

· Regulatory Compliance: Compliance with financial regulations is essential for brokers. Forex CRM systems help brokers maintain detailed records and automate compliance-related processes, reducing the risk of regulatory issues.

Forex CRM Providers: Choosing the right Forex CRM provider is crucial for brokers looking to harness the benefits of this software. One notable CRM provider in this space is them, known for its cutting-edge solutions tailored to the needs of forex brokers. They offer a user-friendly and customizable Forex CRM platform that enables brokers to adapt to their specific business models and client requirements.

· Easy Integration: Their CRM can seamlessly integrate with existing trading platforms and systems, reducing disruption and ensuring a smooth transition.

· 24/7 Support: They offer around-the-clock customer support, ensuring brokers have the assistance they need whenever issues arise.

· Security: They place a strong emphasis on data security, protecting sensitive client information, and ensuring brokers comply with regulatory requirements.

· Scalability: Their CRM can grow with your business, accommodating the evolving needs of both small and large brokerages.

Conclusion:

Forex CRM is an indispensable tool for forex brokers aiming to thrive in the competitive forex market. It streamlines client management, enhances communication, and ensures regulatory compliance. When choosing a CRM provider, options like intivion.com stand out for their comprehensive, customizable, and secure solutions, helping brokers achieve excellence in their operations.

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#forex crm software #crm for forex brokers #custom forex crm #forex crm provider

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webomates · 8 months

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What is Smoke Testing?

Did you know that the term Smoke testing has its origin in electronic hardware testing?

It was as simple as looking for any signs of smoke when the hardware under test was plugged in. If you see smoke, then it is clear that the circuitry has some major issue and cannot be tested any further till the problem is rectified.

Interestingly, there are some other versions of how the term came into existence, you can read about them on Wikipedia by clicking here.

What is the need for Smoke testing?

Checklist for effective Smoke testing

Smoke test all critical functionalities for every build It is cumbersome and time-consuming for the QA team to work on a build that may throw issues their way, which could have been easily smoked out earlier. Therefore, any new critical functionality or changes to the existing one has to undergo a smoke test for every single build. The thumb rule is to release only a stable build for QA.

Automate whenever you can Now, a fundamental question arises. If we have to smoke test for every build, then is manual testing enough? Test automation is the answer to this dilemma. Of course, not all tests can be automated. We have debated this at length in our article “To automate or not to automate”. Do take out some time to read it.

The time factor Time is an expensive commodity. Smoke tests should take minimal time to execute.

Share across the board Quick feedback and resolution keep the DevOps machinery rolling smoothly. Hence it is important to analyze and share smoke test results across the teams for a faster resolution of issues.

Managing false positives Test Automation comes with its challenges. False positives are the bane of automation. Ideal automated smoke tests should yield minimal or nil false positives.

How Smoke testing is different from Sanity testing

How Webomates can help in smoking out bugs

Webomates CQ leverages the power of AI/ML to provide a complete testing solution with intelligent analytics and guaranteed execution SLA.

Webomates CQ can seamlessly integrate with your current CI/CD pipeline and can execute smoke tests within 15 minutes to 1 hour.

Our AI Modeler engine can help organizations in generating and automate the right test cases.

Webomates’ patented AI Defect Predictor can identify false failures with 99% accuracy.

A detailed report along with an in-depth analysis of test results is shared with all the concerned teams. Our ingenious AI Defect creator automates the process of gathering the data for a defect, including the key 20 seconds of video that shows the defect occurring. This helps in a significant reduction in time spent in defect triaging.

If this has piqued your interest and you want to know more about our services, then please click here and schedule a demo, or reach out to us at [email protected].

If you liked this blog, then please like/follow us Webomates or Aseem

#Smoke Testing #testingservices #What is Smoke Testing

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govindhtech · 9 months

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Using change streams to expand your Bigtable architecture

Change Streams in Bigtable architecture

As part of their data workflow, engineers use Bigtable to store enormous amounts of transactional and analytical data. The introduction of Bigtable change streams, which will improve these data workflows for event-based architectures and offline processing, is something we are enthusiastic about. We will discuss the new feature and a few examples of apps that use change streams in this article.

Alternate streams

Real-time modifications made to Bigtable tables are captured and output by change streams. You can access the stream using the Data API, but we advise utilizing the Dataflow connector because it provides an abstraction over the complexity of processing partitions using the Apache Beam SDK and the change streams Data API. Dataflow is a managed service that will help with the scalability and dependability of stream data processing by provisioning and managing resources.

Instead of worrying about specific Bigtable specifics like appropriately managing partitions over time and other non-functional needs, the connector lets you concentrate on the business logic.

Change streams on your table can be enabled using the client libraries, gcloud CLI, Terraform, or the Console. Following that, you may use our change stream quickstart to begin developing.

Illustrative architectures

You can track changes to data in real time and respond swiftly thanks to change streams. By using the data in new ways, you can more quickly automate operations based on data updates or add new features to your program. Here are a few examples of Bigtable-based application architectures that employ change streams.

Data enrichment using contemporary AI

AI-related new APIs are being developed quickly and have the potential to greatly enhance your application data. You may improve data for your clients by using APIs for audio, graphics, translation, and other services. Bigtable change streams provide a direct route for enhancing new data as it is added.

Using pre-built models from Vertex AI, we are transcribing and summarizing voice messages in this instance. Bigtable can be used to store the raw audio file in bytes, and change streams are used to start AI audio processing whenever a new message is introduced. The Speech API will be used by a Dataflow pipeline to obtain a transcription of the message, and the PaLM API will be used to condense that transcription. These can be entered into Bigtable so that users can access them and send messages using their preferred channel.

Search in full-text and autocomplete

There are numerous applications, ranging from online stores to streaming media platforms, that frequently make use of full-text search and autocomplete. In this case, a music platform is giving its music collection full-text search capabilities by indexing album names, song titles, and artists in Elasticsearch.

A pipeline in Dataflow records the changes as new music are added. The data that has to be indexed will be extracted, then written to Elasticsearch. This keeps the index current, and users can utilize a search engine hosted on Cloud Functions to query it.

Alerts based on events

An important tool for application development is the processing of events and the real-time notification of customers. Your architecture can be changed to accommodate pop-ups, push notifications, emails, SMS, etc. Here is an illustration of what a logistics and shipping firm might perform.

Millions of goods are constantly roaming the globe thanks to logistics and shipping firms. In order for each box to proceed to the following location, they need to maintain track of where it is as it arrives at each new distribution center. Customers have the option to sign up for email or text updates regarding the status of their packages, which may be useful if they are waiting for a new pair of shoes or if a hospital needs to know when their next shipment of gloves is coming.

This event-based architecture complements Bigtable change streams very well. Data on the packages leaving shipping hubs and being written to Bigtable is available in real-time. Our Dataflow alerting solution, which uses SendGrid and Twilio APIs for simple email and text notifications, captures the change stream.

Analytics in real time

Any application that makes use of Bigtable will probably have a ton of data. Change streams, as opposed to huge, uncommon batch processes, let you change metrics in small increments as the data comes in, opening up real-time analytics use cases. To do aggregation queries on the data in the window and write the results to another table for analytics and dashboarding, you may design a windowing scheme for regular intervals.

This architecture demonstrates a business that provides a SaaS platform for online retail and wishes to provide to its clients the performance indicators for their online shops, such as the number of visits, conversion rates, abandoned shopping carts, and most popular items. They upload the data to Bigtable, aggregate it every five minutes based on the criteria they want their users to utilize for data slicing and dicing, and then write the results to an analytics table. They can take data from the analytics table to build real-time dashboards using tools like D3.js, giving them better understanding of their consumers.

Next procedures

You are now familiar with fresh uses for Bigtable in event-driven architectures and how to use change streams to manage your data for analytics.

#govindhtech #technology #technews #news #tech #ai #bigtable #architecture #google

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ailtrahq · 9 months

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Here’s, in numbers, how much transaction volume the Bitcoin network has handled in total during its entire history so far. bitcoin Total Cumulative Volume According To Three Different Models In a new post on X, the lead on-chain analyst at Glassnode, @_Checkmatey_, has shared a chart that assesses the total transaction volume that bitcoin has processed in its lifetime using three different models. The first model of Interest here is the “cumulative total volume,” which keeps track of the raw amount of BTC transacted on the chain since the network first went online. This metric Updates daily as new transaction activity occurs and the total volume increases. However, some issues are involved with measuring just the raw volume, as not all movements happening on the blockchain are actually because of some meaningful activity. Take the “change volume” as an example. Whenever a user makes a transaction from their wallet, the amount that initially moves across can be more than the sending amount entered by the user. BTC transfers only occur regarding entire “unspent outputs” (essentially the leftover amounts from previous transactions). If the unspent outputs add up to more than the amount that has to be transferred to the other user, then a “change” has to be returned to the sender. This is similar to how if you make a $98 purchase with a $100 bill, you will get back $2 in change. This return transfer of the change is not any real meaningful transaction. The “change-adjusted total volume” metric removes such transfers from the total volume, thus providing a more accurate picture of the network. Here is a chart that shows the trend in both the raw cumulative volume data and this metric over the history of bitcoin: The volume data over the course of the asset's history | Source: @_Checkmatey_ on X The raw volume handled on the network so far measures about $110.8 trillion, while the change-adjusted value of the metric comes to about $40.2 trillion. There is a pretty significant difference between the two. Even the change-adjusted volume, however, may not be entirely accurate, as some transactions on the network count as real transactions but don’t involve a flow of coins that might be relevant to the broader Market. Examples of such transfers include internal exchange transfers and transactions between the addresses of the same investor. To filter out these irrelevant transfers, Glassnode uses the concept of “entities,” which are clusters of addresses the analytics firm has determined to belong to the same owner. The third volume in the above graph (the red curve) displays the data of this “entity-adjusted” transaction volume. According to this model, bitcoin has handled $8.6 trillion in transfer volume. BTC Price bitcoin has registered only flat returns over the past week as the asset has continued to float around the $25,800 mark. BTC continues to show stale Price action | Source: BTCUSD on TradingView

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bookmytalent · 1 year

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List of Things You Should Know About Cloud Computing

Cloud computing is going to stay here in the future. Why are we saying this? Because of the research that was done by Foundry’s 2022 cloud computing research. According to their research, there are more than 92% of companies all around the world use cloud-connected or cloud-based services. And if you own a business or may be thinking of starting one in the near future, we have curated a list of things about cloud computing that are going to help a lot.

In a world of 8 billion, thousands of people come up with a new business idea every day. Some of those even succeed. In fact, government like that of India also comes ahead to support those ideas by starting initiatives like Made in India, StartUp India, etc.

So whether a company is small, medium or large, shifting to cloud computing is becoming a necessity. Why? Because then where will you as a business store the huge amount of data? On additional computers and hardware? Won’t it be an expensive thing to do?

So let’s get into this topic layer by layer and understand everything about cloud computing. But first,

What Is Cloud Computing?

Cloud computing is the delivery of on-demand computing services to businesses and individuals. These services include hardware, software, storage, etc. In cloud computing, the Pay-as-you-go model works. You only pay for the services you actually use and for however long you need to use them.

Think of a business in the same situation. The difference, in this case, is the vast amount of corporate data that is being stored. This meant buying external hardware and setting up a tech team to manage that hardware resulting in extra expenses.

But with the coming up of cloud computing, this issue got solved. Now storing data became easy and not only this but watching movies also became easy.

Today, we can easily download OTT apps, subscribe for months or a year, and watch any movie we want, whenever we want, without having to wait for it to download. But this was not the case in the past. In the early days, we would go to CD stores to get our favorite movies downloaded, or maybe download them on our own.

This idea has even penetrated more recent concepts, like cloud-based gaming, which streams gaming functionality to your computer over the internet from third-party cloud servers and computers. Unbelievable, no?

What Is Cloud Computing Used For?

Cloud computing is gaining popularity day by day even though it is a relatively new paradigm that only recently gained widespread acceptance.

File storage:

Even after having several options for storing and accessing data, have you ever thought about what makes cloud storage unique?

The ability to access and edit files from anywhere with ease. If you have a good internet connection, you are good to go. Some of its examples are Gmail, Google Photos, iCloud, etc.

Big data analytics:

Big data such as information on customers, market trends, sales performance, etc is necessary for businesses of all sizes for a variety of reasons. Some gather it to find fresh chances for business expansion, while others do it to find answers to challenging issues.

And if your business is not doing the same then it is going to be at a significant disadvantage. The process, however, is not easy. It necessitates the use of significant computing resources, which are expensive.

But with cloud computing, the primary benefit that you get is the option of the pay-as-you-go. This means that you will only pay only when you want to use it. This results in saving extra expenses for your business.

Data backups and archiving:

Cybercrime is a common occurrence in the world we live in today. There are always going to be significant data breaches, which can sometimes be fatal for a lot of businesses.

For a very long time, traditional data backup techniques have been successful in protecting data. However, they are susceptible to viruses, and because they are portable, they can disappear and pose a risk to contemporary businesses.

An answer to these problems is cloud-based backup and archiving. It offers the highest level of data security and is simple to implement. You can back up or archive your sensitive files using this method to cloud-based storage platforms.

Software development and testing:

If you’ve ever created internal software or an application, you know how time-consuming, costly, and expensive the process is. It includes installation and configuration of complex hardware and software, as well as training of the ongoing staff member.

Simply put, this means that even a straightforward project can take months to complete. And this could put you at a disadvantage in the fiercely competitive market of today.

However, with cloud computing, you have access to a number of tools for continuous integration and delivery. It expedites, simplifies, and lowers the cost of testing and development. By reducing the length of your software delivery lifecycle, you can gain an advantage over your rivals.

Communication:

People can access cloud-based communication tools like calendars and emails thanks to cloud computing. Additionally, all messaging and calling apps, including Skype and WhatsApp, are built on cloud infrastructure.

Messages and files sent and received are stored in the cloud service and not only on your device. This allows you to access them via the internet from any device and location on the earth.

What Is the Architecture of Cloud Computing?

There are two parts to the cloud architecture:

Front-end

Back-end

Front-end:

The client side of a cloud computing system is referred to as the front end. It includes all of the user interfaces and programs that a client uses to access cloud computing services and resources. Using a web browser, for instance, to access a cloud platform.

Client infrastructure:

Client Infrastructure is a component of the front end. It includes the applications and user interfaces needed to access the cloud platform.

Back-end:

Backend refers to the side that the service provider uses. It manages the resources, provides security measures, and contains the resources as well. Huge storage, virtual machines, virtual applications, traffic control systems, deployment models, etc. are also included.

Application:

An application in the backend is a piece of software or a platform that the client can access. It means that it offers the service in the background in accordance with client needs.

Service:

The three main categories of cloud-based services—SaaS, PaaS, and IaaS—are referred to here. It manages the kind of service that the user accesses as well.

Runtime cloud:

The execution and Runtime platform/environment are provided to the Virtual machine by the Runtime cloud in the backend.

Storage:

Storage in the backend provides a scalable and adaptable storage service as well as data management.

Infrastructure:

Backend cloud infrastructure refers to the hardware and software components of the cloud, such as servers, storage, network devices, virtualization software, and so on.

Management:

Management in backend refers to management of backend components like application, service, runtime cloud, storage, infrastructure, and other security mechanisms etc.

Security:

Security in backend refers to implementation of different security mechanisms in the backend for secure cloud resources, systems, files, and infrastructure to end-users.

Internet:

Internet connection acts as the medium or a bridge between frontend and backend and establishes the interaction and communication between frontend and backend.

What Are the Types of Cloud Computing Services?

Cloud computing services include data storage as well as useful applications like accounting software, customer support software, and remote desktop hosting. Three models can be used to classify these services:

Infrastructure as a Service (IaaS):

You can rent IT infrastructure, such as servers, virtual machines, storage, and networks, from a cloud provider, using infrastructure as a service (IaaS), typically on a pay-as-you-go basis.

IaaS services enable small businesses to benefit from configurations that cater to various workload requirements. Amazon Web Services and Microsoft Azure are two of the industry’s major players.

Platform as a Service (PaaS):

Software developers have access to cloud-based resources like APIs, gateway programs, and web portals thanks to the platform as a service (PaaS). Popular options include services like Salesforce’s Lightning, Google App Engine, etc.

Software as a Service (SaaS):

Users can access the software through SaaS offerings via the internet. Software as a service applications can be accessed through a web browser, a desktop, or an API that is integrated into the user’s desktop or mobile operating system.

SaaS applications enable employees to work directly on specialized computer programs, download crucial files, and collaborate on projects. Users of SaaS typically have to pay a monthly or yearly subscription fee. Examples of SaaS applications include Google Workspace and Microsoft Office 365.

What Are the Advantages of Cloud Computing for a Business?

Data security:

Contrary to what many business owners believe, storing data in the cloud is actually very safe. After Covid 19, this point has become even more crucial. Cybersecurity threats have multiplied exponentially since the Covid security alert and global lockdown.

You’ll never be able to keep up with a specialized corporate data security team unless you’ve already hired a top-notch IT and cybersecurity team that is familiar with your network architecture and data policies inside and out. And this is an expensive task to perform.

Cost savings:

Cloud computing can help you save money that you can put toward other areas of the business if your current IT costs are too high at the time. Since cloud computing typically operates on a “pay-for-what-you-use” model, you only pay for the services you actually require.

The operational cost of managing and maintaining your IT systems can be greatly reduced because the cloud doesn’t store data on your premises. Your business can benefit from lower costs in a variety of ways, including wage reductions or the need for ongoing upgrades.

Remote access:

The email that you use is a perfect example of cloud computing. If you have your login information and an internet connection, you can access your central email account from any computer. This ease of use is what attracts so many businesses to cloud computing.

The cloud enables you and your staff to access work from anywhere in the world, as opposed to leaving it on a desktop or some local area network (LAN) server that isn’t connected to the internet.

Improved productivity and workspace flexibility are the results of this remote access. If you work in a white-collar job, there’s a good chance that you utilize cloud computing while working from home.

You don’t have to worry about pandemics, floods, office fires, or enormous tornadoes wiping out your office because cloud computing makes daily business operations possible from anywhere. Your data is accessible as long as it is kept in the cloud.

Scalability and flexibility:

Your company will have more flexibility thanks to cloud computing. Without spending money on physical infrastructure, you can easily scale resources and storage to meet business demands.

The infrastructure required to support businesses’ highest load levels doesn’t need to be purchased or built by them. Likewise, if resources aren’t being used, they can scale back quickly.

High level of security:

Since its inception in the 1990s, cloud computing has advanced significantly, and today it offers the highest level of IT security. Without you having to worry, cloud service providers like Microsoft Azure continuously review, improve, and deploy updates and patches, keeping your company at the forefront of data security.

Summary

Business owners and other important stakeholders ought to give serious consideration to replacing their outdated, physical IT infrastructure with a highly flexible and agile solution like the cloud. Your business will change for the better in many ways when switching to a cloud computing system.

Although making sure you and your team understand how to use cloud computing to enhance your company may seem challenging. But it is well worth the effort of learning and implementing. Make the switch to the cloud if you want to guarantee that your company will change along with the future.

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reinforce1 · 1 year

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The future rests on the cloud: a beginner guide to cloud computing

Gone are the days when it was necessary to jack up the memory of your hard drive to fit more files into your system. Technological advancements like cloud computing services have solved this problem entirely. Cloud computing deals with providing a plethora of services via the internet.

If you are reading this informative piece, you are using one of the cloud computing services named Google Docs. As this document is available online, you are free from the hassle of storing it on the hard drive of your PC. Other than Google Docs, there are numerous types of cloud computing services.

We will highlight all the services in this comprehensive piece!

What is Cloud Computing and its Types?

Though we know the general definition of cloud computing, here is a closer look at it!

Cloud computing allows a user or a firm to store resources like documents, presentations, and even software online. It means that whenever you want, you can access the required file from the cloud or the virtual space. This cloud or virtual space is actually a remote server that is connected to the web.

There are various providers in the market that offer remarkable cloud computing services, such as

AWS (Amazon Web Services)

Microsoft Azure

IBM Cloud Services

Google Cloud Platform

ServerSpace

Exploring the Types of Cloud Computing!

So far, we have only talked about storing files like Google Docs. However, cloud computing goes way beyond that. Here are three types of cloud computing!

Type of Cloud Computing

Description

Infrastructure-as-a-service (IaaS)

If you plan to build an app or software, you will need resources like servers, storage, and operating systems. These may cost you a lot if you get them independently, and this is where IaaS comes in.

IaaS provides a user or an organization with all the resources required for IT in one place. Beginning from OS to storage and servers, IaaS encapsulates everything. All these resources are available on an on-demand basis that does not burn a hole in your pocket.

On top of that, the scaling process becomes simpler as you can increase or decrease your spending as per your needs.

Examples: Amazon Web Services, Google Cloud Platform, etc.

Software-as-a-service (SaaS)

This is the most basic form of cloud computing. SaaS enables users to access software and its functionality over the internet. You can use software hosted on the web via a mobile app or web browser.

Some primary examples of SaaS are Netflix, Slack, Dropbox, Gmail, etc.

Platform-as-a-service (PaaS)

Platform-as-a-service model is a complex model that provides users and organizations with services and resources to develop software online. These services can be OS, libraries, programming languages, etc.

Examples: Heroku, Google App Engine, AWS Lambda.

Other than the described ones, there are many other cloud computing services, such as

Big data analytics

Audio and video streaming services

Application testing services

Data storage and backup

Pros and Cons of Cloud Computing Services

Cloud computing also comes with a blend of pros and cons!

Pros of Cloud Computing

As per stats, the market size of cloud computing was $545.8 billion in 2022. Further, it is expected to rise up to $1.2 billion by 2027. These numbers are proof that cloud computing services are in demand and are backed by countless benefits. Here are some of them!

Minimum to Zero Infrastructure Cost

Business organizations have to spend a lot on the IT part of the business. And if the business is of app development, IoT, etc., the cost can be significantly high. For companies like this, cloud computing is a boon.

Rather than purchasing costly servers and software, business owners can opt for cloud computing services at zero infrastructure cost. As per Accenture, businesses choosing cloud computing services like IaaS, PaaS, or SaaS can save 30-40% on the total cost of ownership.

Investment Optimization

If you plan to build an app, you may know how much storage is required by the app. However, what if your estimate goes wrong? You will face losses both ways, whether you invest in infrastructure that is more than required or less. There is no custom resource option here.

With cloud computing, you can invest in a more optimized way. You can choose the only resources that you need. Further, there are various plans for cloud computing services that you can choose based on the necessity of your business. In short, the maximum part of your investment will be spent on using the resources and not on free resources.

You Can Scale Easily and Quickly

Cloud computing services like IaaS, PaaS, SaaS, and more are accessible from anywhere. Moreover, you can invest as per your need, and there is no hassle of maintaining heavy infrastructure from time to time. Therefore, it is easy for you to scale.

If your web app gains users tomorrow or maybe next month, you can purchase more storage space for data and analysis within a few clicks.

Data Backup and Recovery

Cyberattacks are pretty prevalent on the web, and they cost organizations $13 million on average. Hence, it is necessary to go for a solution that offers security against it. Cloud computing services offer you remarkable security features. On top of that, they also offer you auto-backup of data periodically.

Hence, whether you accidentally deleted some data, the hard drive crashed, or a cyberattack affected you, you can recover the data easily.

Automatic Software Updates

Physical IT infrastructure has numerous hardware systems that require updates from time to time which is a task of hassle. On the other hand, the cloud computing infrastructure updates automatically. So, not much hassle here.

Cons of Cloud Computing Services:

There are some drawbacks that may make cloud computing an unfavorable choice.

Downtime

As the entire cloud computing infrastructure is backed by the internet, any disruption can lead to unexpected downtime. Today, businesses cannot afford downtime for a second as they have a lot on the line.

Data vulnerability

As mentioned earlier, the internet forms the backbone of cloud computing services. Therefore, the data is vulnerable to cyberattacks. To ensure security, keep your online data protected using SSL certificates and encryption.

Ongoing costs

Physical IT infrastructure is a one-time investment, though it requires regular maintenance. On the other hand, cloud infrastructure has ongoing costs. You have to pay for the services on a monthly or yearly basis.

Flexibility issues

As there are multiple vendors, it is possible that a person or a firm might want to shift from one vendor to another. In this scenario, cloud platforms can pose a problem due to platform independency and vendor lock-in.

What are the Deployment Models of Cloud Computing Services?

There are three deployment models of cloud computing services!

Public cloud: In this deployment model, regular users can use cloud services to build apps, store data, analyze data, etc. The ideal thing is that it is available on a subscription basis at an affordable price.

Private cloud: This type of cloud computing model is opted for by organizations only due to high capital expenditure. With a higher cost, the private cloud provides state-of-the-art privacy and security issues.

Hybrid cloud: This model blends public and private clouds. It is primarily useful when an organization has to scale quickly or wants to address privacy and security concerns.

Conclusion

Cloud computing has revolutionized the way businesses and individuals store, access, and process data. It offers countless benefits, including but not limited to scalability, cost savings, flexibility, and improved efficiency. It is critical to note that there are pros and cons that you may need to analyze before choosing cloud computing services. If you need professional help regarding the same, you can surely rely on Reinforce Global.

#AWS #cloud computing services #Google cloud platform #IAAS #IBM cloud service #Microsoft Azure #PAAS #SAAS #server space #cloud computing #types of cloud computing #reinforce global

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workdaytrainingg · 1 year

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What are the Top Workday Interview Questions and Answers?

1. What's Workday?

Workday is a new generation of pall- grounded operations that service mortal coffers, payroll, and fiscal requirements for associations. Workday is the leader in pall- grounded, enterprise operations that combine a lower cost of power with an innovative approach for global businesses. Workday provides unified Financial Management and Human Capital Management( HCM) operations designed for moment’s associations and the way people work. Workday is delivered in the pall and leverages a ultramodern technology platform, which will give lesser information availability.

2. What are the different modules present in Workday?

The different modules present in Workday are

Workday HCM

Workday Financial

3. What are the advantages of Workday?

Workday enables24/7 access to the information over a secure network.

Workday’s SaaS/ pall delivery model allows services to reach guests with a minimum number of waiters, reducing energy requirements.

Workday functionality offers hand and director tone- service, enabling staff to modernize or pierce their information intimately from any computer or mobile device with internet access

Workday is designed to support the unique requirements of advanced education.

4. Will Workday work on any computer with any internet cybersurfer?

Workday is supported by utmost internet cybersurfers, including Internet Discoverer, Google Chrome, Mozilla Firefox and Safari. For those who need to use aged performances of IE(e.g., Darcy or IRES druggies), you'll need to use Chrome, FireFox or Safari to log into Workday.

5. What does “ ERP ” mean and how does it relate to Workday?

“ ERP ” is an acronym for “ Enterprise Resource Planning ” and is a general assiduity term for integrated suites of business systems( similar as payroll, HR, and finance systems). Workday came ERP for mortal coffers, academic, and payroll business processes as of July 2015.

6. What types of reports will Workday give?

HCM, payroll, and financials in Workday will have standard and custom-made reports according to its primary business focus. Some reports combine information from both the HCM/ Payroll and the Financials modules. Reports can have features similar as custom prompts, calculated fields, and interactivity, as well as plates and maps. Data in certain types of reports can also be made available to other operations.

7. What sources of information will be used in Workday for reporting in the future?

In addition to getting the sanctioned source of business information for HCM, payroll, and financials, Workday will also come the main source for your reporting needs whenever possible. Reporting from the Institutional Data Store( IDS) using Cognos or other tools will condense Workday reporting capabilities and will be used whenever data that don't live in Workday are demanded.

8. still, where will I get them when Workday goes live?

If I'm used to getting my reports through Cognos. Still, also the Enterprise Data Management( EDM) platoon will coordinate the use of other systems similar as Cognos, Tableau, If there are critical data that Workday doesn't handle or if date ranges fall outside of what will live in Workday.

9. Will every piece of being data from the mainframe and Workday be available in the IDS?

No, the IDS isn't a backup system. Any data from the mainframe that will no longer be demanded will be archived independently. Data that are in Workday will be backed up on Workday waiters. The Institutional Data Store( IDS) will only store a subset of Workday data if the data have been linked as our most important data and are a demand for a critical downstream report or data feed that can not be handled by Workday or another operation.

10. What's Workday HCM?

Workday Human Capital Management is the only operation that unifies HR and Talent Management into a single system- of- record. And with bedded analytics, director and hand tone- service, and a stoner experience unlike any other enterprise operation, Workday redefines what it means to manage a global, mobile, and different pool.

Basic to Advanced Workday Online Course with Real Time Practical Training. No.1 Best It Software Training Institute And Trusted Workday Online Training Institute In Ameerpet, Hyderabad, Bangalore. Now OnlineITGuru Offers Contact us now @ +91 9550102466.

#Workday Human Capital Management #workday learning #workday training online #workday online training in hyderabad #workday online training #What are the Top Workday Interview Questions and Answers?#Workday Interview Questions and Answers #Top Workday Interview Questions and Answers

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thousense · 2 years

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demand forecasting techniques

Every day, crucial decisions are made by businesses. Some decisions are based on verifiable facts, while others are predicated on predictions and probabilities. Making decisions using probability has gotten much simpler and more precise as a result of AI demand forecasting techniques.

Supply chain difficulties must be addressed immediately and when dealing with supply chains, businesses encounter several inventory difficulties. Demand forecasting techniques assists companies in lowering the cost of the supply chain and significantly enhancing financial planning, capacity planning, profit margins, and risk assessment decisions.

Demand forecasting is the most utilized machine learning application in supply chain planning, per the Gartner report. According to the report, 45% of businesses are already utilizing this technology, and 43% want to do so within the next two years.

Algorithms for machine learning increase the precision of forecasting techniques and streamline replenishing procedures. Companies are reducing the expense of cash-in-stock and out-of-stock crises because of these advancements.

What is demand forecasting?

Predictive analytics' field of demand forecasting involves projecting future client demand by examining previous data, as the name suggests. To prevent inefficiencies brought on by the misalignment of supply and demand throughout the business processes, organizations utilize demand forecasting techniques.

Businesses can enhance their decision-making procedures for cash flow, risk assessment, capacity planning, and personnel planning by using demand forecasting techniques.

Demand Forecasting Methods

Demand forecasting is the technique of estimating future levels of demand for specific products. This aids in determining what should be produced by producers and what should be stocked by merchants.

The following procedures are intended to be improved by demand forecasting:

● Relationship management with suppliers- The ability to compute how many products to order based on the predicted consumer demand makes it simple for you to decide whether you need new supply chains or fewer vendors.

● Managing relationships with customers- Customers who are making purchases anticipate finding the goods they desire right away. By using demand forecasting, you may foresee which product categories will need to be bought from a certain store location throughout the coming period. Customer satisfaction and brand loyalty increase as a result.

● Fulfillment of orders and logistics- Supply networks are optimized via demand forecasting techniques. Because unsold goods won't take up valuable retail space, the product will likely be available when the order is placed.

● Marketing strategies- Forecasting is frequently used to modify marketing and advertising efforts, and it has the potential to affect sales volume. One application of machine-learning in marketing is this. Marketing data can also be included in sophisticated machine learning forecasting models.

● Management of the flow of production-The time series-based demand forecasting, which is a component of ERP, forecasts production needs to be based on how many things will ultimately be sold.

Why do companies need Demand Forecasting?

Demand forecasting techniques assists businesses in streamlining their sales, marketing, and supply chain processes and helps them avoid overstocking or out-of-stock situations

● Increasing precision with time

Algorithms using machine learning improve their predictions over time by learning from previously collected data.

● Improved client satisfaction

Stockouts lower client happiness while making your goods available whenever needed increases it. As a result, it enhances the brand perception and fosters client loyalty.

● Enhanced markdown and discount optimization

A prevalent circumstance for retail firms is cash-in-stock. In this case, some things remain unsold longer than anticipated. This results in higher than anticipated inventory costs and raises the possibility that these goods would lose value due to going out of style or becoming obsolete.

In these situations, businesses sell their products with smaller profit margins. Such situations can be avoided with precise demand forecasting techniques.

● More effective manpower planning

Demand forecasting for the entire year can help HR departments to effectively balance the part-time employee/full-time employee ratio, maximizing expenses and HR effectiveness.

● General effectiveness

Teams can manage unexpected demand changes by reducing/increasing goods and staffing by using accurate demand forecasts rather than firefighting.

Things to consider

Stability is a crucial need for statistical forecasting accuracy. We take it for granted that things that happened two or three years ago will happen again, which is not at all the case. In a perfect world, statistical approaches would be perfect at predicting market saturation and detecting irrational changes in consumer preferences.

Demand planning using machine learning:- Improved accuracy at the cost of greater complexity

Prerequisites for the broader use of machine learning (ML) to develop forecasts were generated by increases in both computer power and demand volatility. In order to produce short-term predictions in reaction to various market developments, let's use the demand-sensing example that we stated previously. Beyond only predicting demand, ML also powers predictive analytics. It mixes past and present data to produce insights about patterns and specific behavior under certain circumstances.

How can ML help in Demand Forecasting?

A machine-learning algorithm can create this data if a business must be aware of what might occur in a year. Here are a few benefits a machine learning algorithm would also provide for your company:

● More effectively forecasting customer demand

● Understanding buyer motivation to reduce sales cycles

● Analyzing adversary performance and engagement

● Enhancing competitive advantage

How to choose demand forecasting software?

Feature set

Of course, the first thing you should consider is whether it meets your company's needs. Your sector and business model will determine whether you need to:

● Predictions that are either short-term or long-term (or both);

● Demand forecasting techniques for new products;

● Multi-tiered planning for various regions, channels, and product groups;

● Estimation of price elasticity;

● Multidimensional modeling and comparisons of what-if scenarios (for promotions, price changes, market fluctuations, display variations, assortment changes, etc.);

● Accounting for halo effects and product cannibalization (when demand fluctuations of one product impact complementary or related products);

Compatibility with the tools you use for work

In order to facilitate data exchange, gather complete historical data, and develop demand trends, it is essential to connect your internal systems (such as ERP or sales management software) to a demand forecasting solution. Additionally, efficient integrations with your warehouse management system (WMS) or inventory management system (IMS) will enable you to streamline capacity management and procurement.

Tech assistance and instruction

Check to see if the software provider provides all essential help both during and after implementation, which is logically related to the prior advice. Such programs require a lot of data for analysis, which must be properly imported before they can be used. They are not something you download and use right away. Also, keep in mind that you will need to provide your workers with adequate training.

Data sources and outside variables

Depending on your sector, you might need to take into account extraneous aspects like the weather, macroeconomic trends, and others to improve the precision of your forecasts. To learn what data sources your provider uses, get in touch with them.

Future of AI-driven Demand Forecasting

More than ten years ago, Amazon started using ML to predict demand. Over the next two years, 55 percent of businesses plan to invest in artificial intelligence, according to Forrester. Applications based on AI and ML use data to create predictions. The grid search mechanism, cross-validation, and dimension reduction techniques allow the algorithm to change the features and parameters that improve the model and reduce mistakes. MLOps services, in conjunction with Kubernetes, TensorFlow, and Docker container technologies, guarantee efficient model deployment, automation, and maintenance, resulting in scalable and rapid AI/ML-driven demand forecasting techniques on the cloud.

Conclusion

Utilizing approaches for demand forecasting that are ML- and AI-based has numerous advantages. According to Mckinsey, supply chain networks can experience a 30 to 50 percent reduction in errors when demand forecasting is done using AI-based techniques.

By implementing these approaches, organizations may be able to forecast with greater accuracy at all levels. Additionally, AI can take into account outside variables that might affect demand. This is quite advantageous. Additionally, it uses a lot less time and resources than manual processes. The bottom line is that demand forecasting techniques powered by next-generation AI and ML will be central to business operations for the majority of organizations.

demand forecasting techniques

#demand forecasting techniques

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trainingtrust · 2 years

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Musicplayer program while gaming

Musicplayer program while gaming android#

As more investments keep trickling into Africa’s gaming industries, these numbers are expected to explode over the next few years. Ghana and Nigeria emerged second and third, respectively, while Kenya and Ethiopia took fourth and fifth place in the continent. As the numbers continue soaring, the gaming industry is gradually threatening to overtake the music and movies market in the country. South Africa has 24 million gamers and took the lead as the largest video game market in Africa. South Africa takes the lead in the gaming industry in AfricaĬarry1st, a South African gaming platform, and Newzoo, a games analytics company, show that the number of gamers in sub-Saharan Africa in 2021 was a solid 186 million. Andrew Kaggia, the founder of Black Division Games, said he hopes to follow it with analogous games set in several other African cities. Being one of the few African-made 3D games, Nairobi X was a hot topic across the continent.

Musicplayer program while gaming android#

Still, they are mostly famous for the Android first-person shooter, Nairobi X. Kenyan studio Black Division Games created an African-themed Flappy Bird-style game locally known as KukuSama, which left the locals in a buzz. Still, the challenge arises when it comes to identifying the genre that the people in Africa are more interested in. There are numerous types of games, including strategy games, scenario-based games, and arcade games. Obi noted that the small dataset made it tricky to categorically choose the right direction, which often left them guessing. Monetization is not the only setback the local gaming companies face.ĭue to inadequate data, the biggest challenge lies in figuring out the local preferences and tastes. Developers ought to put their games on several stores and Google play alternatives like the Opera Mobile Store to empower this model. However, the resistance against in-app spending due to the extensive credit card fraud discourages most Africans from using their credit cards online. The subscription-based model demands that the player pays before accessing the game for a given period. Instead, most developers earn through subscriptions. Most people have access to cheap Chinese Android phones with limited storage capacity and processing, which can’t handle more than ten simple games and in-app purchases are not prevalent. Although smartphone owners are rapidly increasing, feature phones are still in the lead. He asserts that the mobile ecosystem in North America is balanced differently from that in Africa. Hugo Obi, the co-founder of Maliyo Games, stated that the Nigerian studio is gradually shifting from Facebook and web games to Android. The mobile ecosystem in Africa’s gaming industry While this platform is most valuable, it limits your access to gambling, a factor that gets many gamers searching for casino sites not on gamstop. Gamstop is a reputable platform that restricts and limits a gamer’s access, through self-execution, to an online gambling site promoting responsible gambling. While it’s sometimes fun to get lost in the thrill of video games, gamers ought to know their limits and, at some point, need restrictions from their gambling sites. Undoubtedly, the number of young gamers in Africa has dramatically increased over the past five years, which shows that the gaming industry is progressing upward. The rising popularity and availability of multi-functional gaming consoles are vital in expanding the market of video games on the continent. The development of smartphones has made it easier for gaming fans to play their favorite video games whenever with most assets, languages, and even characters, mirroring African aspects. Only a handful were privileged enough to enjoy these alien creations in the comfort of their homes. The young enthusiasts would use personal computers and consoles, foreign creations, to experience the thrill of their favorite games. Not long ago, internet cafes, cyber joints, and gaming were typical hangouts for African gamers.

#Musicplayer program while gaming

0 notes

bongtechsolution · 3 years

Photo

What Is E-Commerce Website?

An e-commerce website is a website that allows you to buy and sell tangible goods, digital products or services online. Trade, be it barter exchange or buying and selling of goods and services has been prevalent for centuries.

What Is The Importance Of E-Commerce Website?

In the internet arena, standing out from the competition is quite challenging and can be nerve-wrecking for new businesses or start ups. Showcasing brand awareness online has become first and foremost priority these days. In order to stand out, it is important to develop a website and application for the business. Whenever a consumer comes across a new brand, the first thing they do is visit the website and if they are further interested they search for its application. Website and application play important roles to cut through and survive in the competitive market. Websites help to rank your business based on the keywords that the customer types and attract new customers; application on the other hand helps to engage and retain customers.

In the past couple of decades, e-commerce has seen such exponential growth that it's truly changed the nature of business. Millions of people shop online every day, with a significant portion making purchases more than once a week. This has led to lucrative business opportunities that didn't exist in the pre-internet days. Businesses are no longer limited to customers in their immediate areas — instead, every e-commerce store has the potential to reach millions.

Let’s have a look on the key benefits of e-commerce website and application.

Branding:-

Websites and Web applications help to reach out to audience and ranks on the basis of the queries of the customers on the search engine. This allows the brand to reach its target audience and spread awareness of their product and services. Thus these platforms enable in establishing trust among customers and leads to customer retention in the future.

Ability to perform on Various Platforms:-

Modern users do not like to be stuck to just one medium and more comfortable working on different platforms. Users want to be able to browse on various platforms like Mac, Windows, Linux and the application should be compatible with working on multiple platforms.

Customer Satisfaction:-

Nowadays customers seek convenience in browsing and smooth flow of transactions while purchasing products following complete checkout. E-commerce websites and applications today ensure customer satisfaction by making platforms extremely user friendly. Businesses today are building interactive platforms to gain trust of the user and keep them engaged.

Gain Edge over Competition:

Modern businesses are going digital and provide plenty of opportunities to new businesses to stand out by using platforms like web applications and websites. Businesses can cash on endless opportunities for their benefit by carefully strategizing their online presence to reach a large consumer base and providing a medium for premium experience. Web application and website development helps to gain a competitive edge over the peers. Businesses that are up to date have an advantage over those who still stick up the traditional business methods and make them ready to thrive in future challenges.

Frequently Asked Questions:-

1)What Are The Types Of E-Commerce Website?

There are main four types of e-commerce website: business-to-business (websites such as Shopify), business-to-consumer (websites such as Amazon, Flipkart), and consumer-to-consumer (websites such as eBay) and consumer to business.

2)What Are The Basic Components Of An E-commerce System?

Whether you're buying in a store or buying online, everything you do is geared around a transaction: the basic exchange of money for goods or services. In a real-world store, you simply take your new shirt to the checkout, hand over some cash to the counter, and leave the store with your purchase in a bag—that's a transaction. It works in a similar way if you're buying online, but there's one basic difference: you never actually get to handle the goods until they arrive at your doorstep sometime later.

In short, then, e-commerce is about combining three different systems: a Web server that can manage an online storefront and process transactions (making appropriate links to bank computers to check out people's credit card or debit card details), a database system that can keep a check of the items the store has in stock (constantly updating as people make orders and ideally making new orders with suppliers when stocks run low), and a dispatch system linked to a warehouse where the goods can be instantly located and sent to the buyer as quickly as possible.

3)E-Commerce Processes:-

In order to serve its purpose, an e-commerce website needs to have several processes in place that enable the e-commerce business model to work. These consist of the necessary features for making a transaction online.

Payment Gateways:-

One of the hallmarks of e-commerce is the speed and convenience with which a customer can buy something. Part of that process is the ability to enter payment information onto your website, rather than the older methods of mailing in a form or ordering over the phone).Today, the process has become even faster with the advent of one-click checkout, which uses saved customer data to prevent the need to enter it all over again.

Online payment gateways are the technology that makes this possible. A payment gateway authorizes a credit card (or other) transaction near-instantaneously. Other than this basic functionality, no two payment gateways are exactly the same. Pricing, policies, and other factors come into play, so it's important to choose the right payment gateway for your business. Not all payment gateways simply deal with credit cards, either. One-click checkout and other fast-tracked checkout systems are made possible through digital wallets in which customers store their data for later use.

Shipping:-

Shipping is the lifeblood of e-commerce. After all, if there were no way to receive products purchased over a website, then shopping online wouldn't be possible except for digital downloads. Shipping features in an e-commerce platform make it much easier for you to get customers' purchases on their way.

Shipping carriers like UPS, FedEx, USPS, and others can be integrated with your online store to provide several benefits. Perhaps most importantly, you can pull the shipping rates directly to your website so the customer can see their shipping costs change in real time as they update their order.

Sales Tax Collection:-

It's crucial to charge your customers the right amount of sales tax on every purchase. You'll need to remit all your sales tax every year, so if you haven't been collecting it, you'll find yourself needing to make a payment right out of your pocket. This is a nasty surprise at best, and at worst, can present a setback that some small businesses can't recover from.

To help prevent this problem and ensure businesses collect the proper sales tax on customer purchases, some e-commerce platforms have automatic tax calculation that lets you set up rates to be applied based on the customer's location.

Security:-

Security is essential for websites, whether or not they collect any user information. Even the most basic website should be protected from hacking and malware contamination, but in e-commerce, you need to take it a step further. Whenever credit card numbers, customer addresses, or other personal data is being transferred over the internet, it's the website owner's responsibility to ensure that all this data will remain safe.

Integrations:-

Your online store can also integrate with other types of business software to make your operations easier. Google Analytics is a common integration tool that allows you to view Google's powerful metrics as they apply to your store, so you can gain priceless information about where your customers are coming from, what browser they're using, demographics and more.

About Us:-

Bongtech Solutions Pvt. Ltd. is a good IT company in Kolkata. We provide all types of attractive & SEO-friendly Web Design, Mobile Applications, Ecommerce Solutions, Digital Marketing, SEO Service & Customized business software at the lowest price with maintenance support.

#ecommercewebsite #bestecommercewebsitedesign #bongtech #ecommerceapp #ecommerce platform #ecommerce portal development #integration #payment gateway #best website development company

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internetandnetwork · 3 years

Text

Google Rolls Out the New Product Reviews Search Algorithm Update

The search giant Google introduced a new search algorithm update called product reviews update. According to Google, the update is designed to “better reward” well-researched, in-depth content by ranking them over simple brief product summaries.

Just to clear things up, this is a standalone update, not a regular core search algorithm update, meaning it won’t impact all search results. This update targets product reviews in particular.

In its latest announcement, Google said that it is constantly working to present the searchers with the most helpful and valuable information possible via experimenting, testing, and review processes. The company knows that users value product reviews that share well-researched, in-depth content instead of thin content that simply puts forward a summary of a set of products. That’s why Google is improving its ranking systems with the new product reviews update, which is designed to reward such content better.

Nevertheless, this search algorithm update only impacts English-language reviews currently.

There’s nothing to be concerned about regarding this update for websites that don’t post product reviews.

On the other hand, websites that publish product reviews need to carefully monitor their traffic and rankings and keep an eye out for anything unusual.

The product reviews update is live in search results now, meaning site owners might start seeing fluctuations in their rankings and traffic already.

Any abrupt increase or drop in search rankings or traffic will probably indicate that the website was affected by the product reviews update.

Irrespective of any shifts in the rankings or traffic, website owners should add an annotation in Google Analytics and other monitoring tools to signal that the product reviews update went live.

WHAT TO DO IF THE PRODUCT REVIEWS UPDATE AFFECTED MY WEBSITE?

The product reviews update focuses on presenting users with content that provides “insightful analysis and original research,” Google says.

With this search algorithm update, the goal of Google Search is to prioritize the content written by experts or enthusiasts who know the topic inside out in the search results.

Site owners who feel that their websites have been affected by this new update should take Google’s advice on producing and publishing better content.

Try and review your product reviews content impartially and ask yourself if they:

Express expert knowledge about products where appropriate?

Show what the product is like physically, or how it is used, with unique content beyond what’s provided by the manufacturer?

Provide quantitative measurements about how a product measures up in various categories of performance?

Explain what sets a product apart from its competitors?

Cover comparable products to consider, or explain which products might be best for certain uses or circumstances?

Discuss the benefits and drawbacks of a particular product based on research into it?

Describe how a product has evolved from previous models or releases to provide improvements, address issues, or otherwise help users in making a purchase decision?

Identify key decision-making factors for the product’s category and how the product performs in those areas? For example, a car review might determine that fuel, economy, safety, and handling are key decision-making factors and rate performance in those areas.

Describe key choices in how a product has been designed and their effect on the users beyond what the manufacturer says?

All these suggestions mentioned above are in harmony with Google’s objective of better rewarding the most helpful product reviews.

With the rollout of this update, product reviews will struggle to rank in Google SERPs if they only summarize the products going forward.

Usually, reviews that present a summary of products are observed on affiliate websites that aim to make quick commissions instead of offering any real value to people.

From now on, site owners will be required to publish complete analyses of products, including their comparisons to other similar products and comparisons to older iterations of the same product.

Whenever possible, offer quantitative analysis like the results of speed tests if you are reviewing a PC, for example, along with other relevant data that can help customers make a better-informed purchase decision.

It looks like the search giant will be mindful of whether a product review provides information that goes beyond the data given by the manufacturer or not. To put it another way, don’t just visit a product page and rewrite what is already present out there.

WRAPPING IT UP

Google has launched a new search algorithm update called product reviews update, which is focused on ranking reviews that provide insightful analysis and original research over the ones that merely summarize a set of products. With this update, Google aims to reward such content better as it offers more actual value to the users and helps them make more informed purchase decisions. The update went live in search results on April 8, 2021. However, it will only impact English-language reviews in SERPs for the time being. If site owners see an abrupt rise or drop in their rankings or traffic, it’s probably due to this update. Websites that publish product reviews should take Google’s advice and start creating better content. If you feel your site has been affected by this update, you can ask yourself the questions recommended by Google mentioned earlier. Try to offer as much holistic and quantitative analysis of products as possible instead of rewriting the information provided by the product manufacturer on the web. For now, this is all we’ve got. We will probably learn more about this product review update over time as Google continues to roll it out more widely.

Hariom Balhara is an inventive person who has been doing intensive research in particular topics and writing blogs and articles for E Global Soft Solutions. E Global Soft Solutions is a Digital Marketing, SEO, SMO, PPC and Web Development company that comes with massive experiences. We specialize in digital marketing, Web Designing and development, graphic design, and a lot more.

SOURCE : Google Algorithm

#Google Algorithm #algorithm #Google #website #Reviews #PageRank #Google Analytics #ranking #SERPs #content #E Global Soft Solutions #SEO #SMO #digital marketing #PPC #eglobalsoftsolutions

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thousense · 2 years

Text

Demand Forecasting

AI ML in Demand Forecasting

What is demand forecasting?

Businesses can enhance their decision-making procedures for cash flow, risk assessment, capacity planning, and personnel planning by using demand forecasting techniques.

Demand Forecasting Methods

Demand forecasting is the technique of estimating future levels of demand for specific products. This aids in determining what should be produced by producers and what should be stocked by merchants.

The following procedures are intended to be improved by demand forecasting:

Relationship management with suppliers- The ability to compute how many products to order based on the predicted consumer demand makes it simple for you to decide whether you need new supply chains or fewer vendors.

Managing relationships with customers- Customers who are making purchases anticipate finding the goods they desire right away. By using demand forecasting, you may foresee which product categories will need to be bought from a certain store location throughout the coming period. Customer satisfaction and brand loyalty increase as a result.

Fulfillment of orders and logistics- Supply networks are optimized via demand forecasting techniques. Because unsold goods won't take up valuable retail space, the product will likely be available when the order is placed.

Marketing strategies- Forecasting is frequently used to modify marketing and advertising efforts, and it has the potential to affect sales volume. One application of machine-learning in marketing is this. Marketing data can also be included in sophisticated machine learning forecasting models.

Management of the flow of production-The time series-based demand forecasting, which is a component of ERP, forecasts production needs to be based on how many things will ultimately be sold.

Why do companies need Demand Forecasting?

Demand forecasting techniques assists businesses in streamlining their sales, marketing, and supply chain processes and helps them avoid overstocking or out-of-stock situations

Increasing precision with time

Algorithms using machine learning improve their predictions over time by learning from previously collected data.

Improved client satisfaction

Stockouts lower client happiness while making your goods available whenever needed increases it. As a result, it enhances the brand perception and fosters client loyalty.

Enhanced markdown and discount optimization

In these situations, businesses sell their products with smaller profit margins. Such situations can be avoided with precise demand forecasting techniques.

More effective manpower planning

Demand forecasting for the entire year can help HR departments to effectively balance the part-time employee/full-time employee ratio, maximizing expenses and HR effectiveness.

General effectiveness

Teams can manage unexpected demand changes by reducing/increasing goods and staffing by using accurate demand forecasts rather than firefighting.

Things to consider

Demand planning using machine learning:- Improved accuracy at the cost of greater complexity

How can ML help in Demand Forecasting?

A machine-learning algorithm can create this data if a business must be aware of what might occur in a year. Here are a few benefits a machine learning algorithm would also provide for your company:

More effectively forecasting customer demand

Understanding buyer motivation to reduce sales cycles

Analyzing adversary performance and engagement

Enhancing competitive advantage

How to choose demand forecasting software?

Feature set

Of course, the first thing you should consider is whether it meets your company's needs. Your sector and business model will determine whether you need to:

Predictions that are either short-term or long-term (or both);

Demand forecasting techniques for new products;

Multi-tiered planning for various regions, channels, and product groups;

Estimation of price elasticity;

Multidimensional modeling and comparisons of what-if scenarios (for promotions, price changes, market fluctuations, display variations, assortment changes, etc.);

Accounting for halo effects and product cannibalization (when demand fluctuations of one product impact complementary or related products);

Compatibility with the tools you use for work

Tech assistance and instruction

Data sources and outside variables

Future of AI-driven Demand Forecasting

Conclusion

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magistralconsulting · 4 years

Text

Hedge Fund Operations Outsourcing: How does it work?

Introduction to Hedge Fund Outsourcing

Operations Outsourcing for Hedge Funds is slowly becoming a viable proposition to improve analytical excellence and reduce the operations’ cost. Almost all types of hedge funds can benefit from outsourcing and research support services. It aids the smooth functioning of Hedge Fund operations. Hedge Fund outsourcing not only helps in reducing operations cost, but it is also immensely helpful in raising the analytical standards of the fund.

Hedge Funds are investment vehicles that invest in stocks to give superlative returns to their investors. They follow multiple strategies like long-short equity, market neutral, merger arbitrage, convertible arbitrage, event-driven, credit, fixed income arbitrage, global macro, Short only, and Quantitative. Here is what these strategies are and what could be outsourced by each strategy

Long-Short Equity Hedge Fund

This is by far the most common form of Hedge Funds. Here the fund manager takes long and short positions on the stocks where he believes the stock will go up and the stock will go down respectively. Ideally, long positions should match short positions, so that risk from overall market movements is hedged. However, in practice, the ratio of long and short positions varies with every fund manager. Generally, there are more long positions than short ones. Taking long positions on expected winners acts as collateral to short positions in the expected losers

Long-short Equity is an extension of pairs trading, where a fund manager takes opposing positions in similar stocks in the same industry. If a stock looks overvalued as compared to another in the same industry, the fund manager goes short on the overvalued stock and long on the undervalued one. This relative positioning hedges the risks of market fluctuations in either direction

Hedge Fund outsourcing in long-short equity funds have reduced operations cost by 40-70% and at the same time is known to bring the new skills to the fold of the fund.

What could be Outsourced

Here is what could be outsourced conveniently in a Long-Short Equity Hedge Fund

-Equity Research

-Middle Office

-Fund Administration and Accounting

-Data Management (Collection, Cleansing, Automating and Templatizing for Insights)

-Industry Research

Market Neutral Hedge Funds

Market neutral hedge funds are long-short equity funds that hedge the value of long and short positions. The value and volume of long positions match the value and volume of short positions. This ensures that the risks of market movement are minimized. That also means that the returns from such hedge funds are far moderated than the funds that are biased towards long positions. As its type of a long-short equity fund, outsourcing carries similar potential.

Here is what could be outsourced conveniently in a Market Neutral Hedge Fund

-Equity Research

-Middle Office

-Fund Administration and Accounting

-Data Management (Collection, Cleansing, Automating and Templatizing for Insights)

-Industry Research

Merger Arbitrage Hedge Funds

This is a unique kind of event-driven hedge funds that play on a merger event. Whenever a merger event is announced, the fund manager buys the shares in the target company and shorts the shares of the acquiring company in the prescribed share swap ratio. It creates a spread that incentivizes the fund if the merger goes through. This is however a risky proposition and fund loses in case the merger does not go through due to any regulatory or internal reasons

Apart from usual activities, here is what could be outsourced:

-News tracking related to M&A

-Merger Modeling

-Valuations

-Industry Reports

Convertible Arbitrage Hedge Funds

Convertible Arbitrage is securities that combine bonds and equity. Fund Managers are usually long on bonds and short on the equity that they convert to. Fund managers maintain a delta neutral position throughout. So if the equity value goes down, they need to buy more equity and hedge more if the stock price goes up. It forces fund managers to buy low and sell high. These funds return superior performance if there is volatility in the market.

There are multiple facets of operations that could be outsourced here

Event-Driven and Credit Hedge Funds

This is another unique type of hedge fund that thrives on special situations like bankruptcy. These funds focus on acquiring senior debt that gets paid over other kinds of debts in case of bankruptcy. Credit Hedge Fund on the other hand looks for arbitrage between senior and junior debt from the same issuer. They also trade between securities of different qualities from different issuers

Apart from regular operational aspects, here is what could be outsourced here

-Research around the events that allow the opportunity to kick in for the Hedge Fund

Fixed Income Arbitrage Hedge Funds

These Hedge Funds buy securities on one market and sell them on another market and make money from the arbitrage existing between the two market prices of the securities

Global Macro based Hedge Funds

Some Hedge Fund focus on macro trends around countries, markets, commodities, trades, etc. to bet on different investment and trade from opportunities that these macro changes may throw-in

Global macro changes research could be outsourced here

Short Only Hedge Funds

These Hedge Funds bet on the failure of a company. They look for companies that may have unsustainable business models and go short on them. It’s the short part of the Long-Short Equity Hedge Fund.

All the elements of the Long-Short Hedge Fund could be outsourced.

Quantitative Hedge Funds

Quant based Hedge Funds solely depend on mathematical models to make buy or sell decisions. Their algorithms are obscure and they use tools like Machine Learning, Artificial Intelligence, High-Frequency Trading, and other technological tools to produce returns.

All regular activities related to Hedge Funds like Administration could be outsourced here.

Here are the activities that Hedge Funds commonly outsource:

Activities that are commonly outsourced by Hedge Funds

Equity Research Outsourcing/ Hedge Fund Outsourcing

Equity Research Outsourcing is by far the most important element of Hedge Fund Outsourcing. Equity Research outsourcing helps the in-house team track more stocks and sometimes to give more depth to the same set of stocks that are tracked by the fund. Fundamental and technical equity research, both could be outsourced effectively. DCF models are prepared for each stock and then tracked progressively for any changes or news related to that particular stock. Earnings call transcripts are duly recorded and analyzed for a recommendation. A short 2-3-page report is prepared for every stock with the overall recommendation and the rationale for the recommendations. Hedge Fund Research tasks are completed seamlessly with the offshore team acting as a natural extension to the in-house team

Markets/Industry Research

If an investment theme is weaved around a specific country, industry or an emerging theme, its imperative to track that industry, market, or theme closely and regularly. A market is tracked for any macro-level changes like new tech, change in regulations, key movements, trends, etc periodically say quarterly. Several indices are also tracked regarding this. It’s quite common to track 14 S&P industries or some of its components therein. For index hedge funds, the performance of various indices is tracked

Typical examples may be tracking the insurance market in North Africa or metals and mining in South America. If your fund has a bigger interest in stocks that are based in those markets, it makes sense to have the key metrics of these industries reported to you regularly

Manager Research

This is important for Fund of Funds. As part of their investment strategy, they are continuously on a look-out for hedge funds that fulfill a given set of criteria like vintage, past returns, investment themes, etc. Each fund is analyzed for risk-adjusted returns over a fairly long period like 10 years or so to find out the most suitable funds.

This requires getting in touch with multiple funds across the globe, collecting information, analyzing it, and then presenting holistic recommendations on where the fund stands. All of this could be outsourced.

Bond and Other Fixed Income Instruments Research

For hedge funds that operate on the lines of fixed income, the research is done that is related to sovereign and government bonds, corporate bonds, fixed income instruments, and several other investment options like that

Fund Administration and Accounting

Fund Administration is outsourced for activities related to accounting, bookkeeping, and general administration of the funds. This also forms part of Hedge Fund Middle Office Outsourcing. Some bookkeeping aspects also come under Hedge Funds’ back-office outsourcing. It keeps the documentation trail of all the trades, makes sure all operational processes are followed and exceptions are duly approved. Hedge Fund books are maintained in the prescribed format. It also takes care of investor communications like portfolio allocations, portfolio valuation, capital calls, taxes, profits, fees, NAV, portfolio, etc. Customized Hedge Fund newsletters for investors is sometimes prepared and sent separately to current and potential investors

Investor Relations

This is a subset of the Fund Administration process. However, some elements of organic investors’ reach out could be outsourced as well. A tool or a portal for all the investors with all relevant information for them is prepared for seamless and updated communication. This is communication related to the Hedge Fund investments made by the investors. This might be customized to carry Hedge Fund news, Strategy, Returns, and Performance. In the case of Fund of Funds, the performance of all the underlying funds is covered.

About Magistral

Magistral has helped multiple hedge funds in outsourcing operations. You can check www.magistralconsulting.com for more details

About the Author

The Author, Prabhash Choudhary is the CEO of Magistral Consulting and can be reached at [email protected] for queries on this article or business inquiries in general

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copperdigitalinc · 4 years

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5 Stages of Patient Experience – mHealth Apps

Prevention

We all are familiar with the adage ‘Prevention is better than cure.’ Throw in modern technology to the mix, and you may have a winning formula to ensure that we can prevent a disease/condition by taking educated steps at different levels.

Data-Driven

A data-driven approach is about calling real-time data based APIs from verified sources and health care authorities such as WHO, CDC, etc. EHR or Electronic health records have defined standards by which data gets shared with health care providers. You may want to read on the FHIR standards which streamline calling APIs such as Restful and help visualize this data in the form of JSON, XML or RDF

Employer-Based

These would fall under the purview of B2E applications for an organization. Encouraging employees to monitor, track, and maintain their fitness levels, not only helps employers save on the medical bills but also promotes well being within the organization.

Some of the employers who have implemented such programs through technology have ensured that employees are healthier and are less likely to skip work due to ill health.

Community-Based

A community-based approach to tracking, prevention, and intervention is perhaps one of the best ways to adapt to individuals’ overall well-being. A mobile application can help the support group stay connected and intervene at the right moment, whether it’s an individual seeking community support on alcohol addiction or drug abuse.

Risk Assessment

In our ongoing battle with COVID 19, not only in the US but around the world, mobile apps are paving the way for better community-level information transmission and prevention checks. Apps like COVIDSafe published by the government of Australia is helping communities beat the curb by identifying close contacts with the infected citizens and helping them take measures at a regional level.

Risk Assessment and countermeasures through a mobile application have become exceedingly important in today’s world.

Applications like BURN MD, help doctors, access the burn areas for a victim and quickly analyze the risk without having to document it on a paper-based process. This application helps save a life and is extremely important in the assessment and planning process in surgeries. You may want to build an app that addresses the risk assessment aspect in the patient’s journey, which can be pivotal in saving lives.

Diagnosis

Gone are the days when we had to physically do the rounds of a healthcare facility, take appointments of busy doctors, and wait in endless lines to diagnose a condition. With modern technology, we can diagnose a condition by making an informed decision through communication with qualified doctors and physicians on a mobile device.

Many applications that support in Diagnosis of a condition are doing the rounds and have become popular, such as ADA, with more than five million downloads. Such applications should help us with a ballpark estimation of the condition to help us get in touch with the healthcare facilities for further insights. It is much better to get a good reference point rather than being clueless and panicking.

Many applications can help connect with diagnostic services as well for better patient experience. For example, if a patient wants his blood samples taken, it could be scheduled with the mhealth app, and the report results pushed to the patient’s mobile device. The engagement process becomes streamlined and directly enhances the patient’s experience.

Telemedicine

Some of the problems hampering the patient’s journey are practical scenarios and challenges we face every day. Sometimes we cannot find time in our schedule to see a doctor or the location we’re at makes it difficult to make it happen.

Telemedicine has proved to be the bridge between a patient and a doctor, without needing to step into a physical office for non-emergency conditions. With such applications, it becomes elementary to consult your doctor through your mobile device and get remote help. Apps such as MDlive help connect you to pediatricians, behavioral health service, and psychiatry whenever required, without needing to visit the health care facilities physically.

Similarly, apps like Lemonaid, help connect with a doctor for diagnosis/consultation of the medical condition and ship the prescription medicines on the same day! Not only is it convenient and fast, but it also helps save a substantial amount of money by paying per-consultation fees as low as $25.

If you’re building a telemedicine app, make sure that UI/UX is following, making the engagement between a patient and a caregiver easier with intuitive screens and the functionalities in the engagement process like the video/text chat document sharing is fast and efficient.

Bots

You may have seen bots answering your questions on a website. These bots are called chatbots and are advanced enough to answer simple queries and point them in the right direction. However, due to recent advancements in artificial intelligence, these bots can do much more than answering your simple questions.

Google’s Duplex bot was a gamechanger in the field of what AI bots. Released in 2018, it is capable of human-sounding conversation models, so much so that it becomes difficult to differentiate it from a human. There are mood-improving bots like Woebot whose sole purpose is to make you feel better by showing empathy while giving a logical consultation like a psychologist!

Bots in healthcare offer more than just a conversation. Their tasks can cover a wide array of activities from medication management, organizing patient’s choices, providing advice on more straightforward medical issues, or reaching out to medical care facilities during an emergency.

Estimates

One of the most critical questions that every patient seeks to answer is, how much would treatment cost? A mobile application may help answer that question with an estimation. There are quite a few apps available on the app stores like Aetna, which can find a doctor and see what procedures may cost.

While building such an application, you would have to find the cost of such procedures and compile your database or deploy big data analytics to do the same.

Appointments and Referrals

A simple application which schedules one’s appointments can come in handy for any patient to avoid endless queues. Appointment/scheduling mhealth apps have surged in high demand due to the recent pandemic. Every healthcare facility following social distancing and trying to avoid crowds in the lobby and waiting areas.

Apps like Appointfix helps the patients to fix an appointment round the clock. Moreover, it sends reminders in advance, which reduces ‘no shows’ at the hospitals. Every visit gets documented in one place, and simple reports viewed and exported.

Treatment

When you’re getting yourself treated, the first things you would want to discover are the healthcare facilities and the doctors who treat you nearby. Mobile apps built to facilitate searches for these healthcare facilities and provide insights about medical practitioners are often very popular and let people make an informed decision. In the case of emergency apps like EMNet, help you find emergency rooms all across the hospitals in the US.

Conclusion

While building a mhealth app, you must address these five essential aspects of the patient journey. At Coppermobile, following these five principles has ensured that the mhealth apps we build focus towards an excellent overall patient experience!

Source https://bit.ly/2Q6akqH

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