7 BI Trends for 2022 and beyond

Spreadsheets finally took the back seat and we all are happy to have cloud services for our business operations and processes. Business intelligence is a concept famous for decades now. The introduction of self-service analytics contributed to the democratization of the data product chain. And analysts were no longer the only ones who could use advanced analytics.

However, the Power BI environment is changing, and the game of business intelligence’s future is being played, with new trends to watch.


Indeed, the digital exodus of 2020 and 2021 is here to stay. For operational efficiency and data-related services, many businesses have already turned to cloud computing. Rest it got another push due to the global pandemic. Businesses started to rely on cloud-based Software-as-a-Service (SaaS) is for more scalable data analytics capabilities.

Back in 2020-21, cloud computing exploded as a large number of businesses and their workforces went virtual, and organizations all over the world shifted their focus to digital facilities. Cloud Business Process as a Service (BPaaS) is expected to be valued at $53.1 billion by 2022, according to Gartner. According to IDC, cloud adoption and related opportunities will expand to a $1 trillion market by 2024.

Self-service Business Intelligence (BI) solutions have evolved from modern data analytics services, which are the ideal merger of technological and human intelligence. Organizations will be able to obtain useful data from strong BI platforms using these solutions.

By generating real-time information, they direct where to look and which areas to address first.

Self-service BI technologies have become even more significant in cutting operating expenses as Data & Analytics have become more automated in recent years.

This style of fact-based decision-making is a smart business strategy, as it simplifies data interpretation for both technical and non-technical personnel.

Using augmented analytics, which is powered by Artificial Intelligence (AI) and Machine Learning, non-technical users may quickly design advanced data analytics models and acquire insights (ML). It makes data collecting, data cleaning, and insight development easier for businesses, allowing them to deal with the complexity and scale of data.

It allows users to extract value from data, ask relevant questions, and develop insights in a conversational and intelligible manner, making data analytics more accessible to a wider audience. Contextual suggestions for relevant findings are also provided by the improved analytics system.

It is true that BI platforms are becoming more data agnostic and growing their stable of business app connections as more businesses employ business applications. Ultimately, it benefits the data integrators.

Businesses can get to insights faster with native app connections and developments in prebuilt, domain-specific data models, rather than having to build reports and dashboards. These models are also best to respond to specific business requirements.

With auto modeling and mixing capabilities, analyzing complicated datasets is becoming easier and faster. This paves the door for 360-degree business insights through real-time, cross-functional analytics.

Organizations have been gathering vast volumes of data and seeking to make better decisions using that data. AI/ML-driven decision support systems are supplementing traditional dashboards and BI platforms, bringing decision intelligence into the organization. It enables more empathy in data analytics, ensuring that managers make informed decisions.

As machine-generated decisions can be processed at speeds that humans just cannot match, decision intelligence has the potential to improve evaluations not only qualitatively but quantitatively by 2022.

Many businesses have long wished for analytics, and it remains a top priority. Users want data to be accessible at all times, on any device including the alerts. It boosts business activity monitoring, but in an intelligent way.

Although alerting is not a novel function in analysis and business intelligence, its use has recently evolved dramatically. Notifications have traditionally tried to save time by ensuring that users’ attention is properly focused on the task at hand.

The earlier approach requires a precise definition of what is relevant, and as a result, it has failed to deliver on its promises. Alerts have recently been improved by shifting away from predetermined relevance and toward machine-generated recommendations based on usage patterns.

Businesses may now add value to their own apps thanks to embedded dashboards. The embedded analytics market is expected to reach $77.52 billion by 2026, according to Allied Market Research.

Embedded analytics is becoming increasingly common in business operations, whether it’s used to compile a sales report or to provide clients with multiple dashboards, and in 2022, we’ll see even more organizations implement it. Departments and business owners want professional data presentation solutions that don’t need them to write their own software.

Bottom line

In the year 2022 and beyond, these are some of the most prominent business intelligence trends. While we cannot predict with confidence where BI and its connected ecosystem will go, we can be positive that each of the aforementioned developments will play a role in one way or another.

The number of applications for machine learning algorithms is growing by the day, which only adds to our excitement about the possibilities in the field of business intelligence. It is prudent for a company to use business intelligence technologies like Power BI desktop that can make a significant impact on its bottom line in order to stay competitive.

So, if you are looking more on power bi update 2022 or Microsoft products and services, DFSM is happy to help.


Artificial Intelligence Failures: Learn from leaders’ mistakes

In recent years, the term “innovation” has been a leader’s obsession. Digital transformation has practically become a need for all businesses, especially since the pandemic has wreaked havoc on the global economy. Artificial Intelligence investments would reach $341.8 billion in 2021, up 15.2 percent year over year, according to IDC. 

With these numbers, do you think companies can fail? Well, it is part of the deal too. According to IDC, approximately 28% of artificial intelligence projects fail. Here’s a sobering reality: Artificial Intelligence is science and not magic! Let’s check out some of the top company failures. So, we can learn our lessons.

AI (artificial intelligence) concept.
Tay bot logo

1. Microsoft Tay

Microsoft chose to enter this market about six years ago. Tay, their Twitter chatbot, made its debut on March 23, 2016. While it appeared to be a good idea at first, things went horribly wrong. Twitter users exploited the bot’s inadequate natural language processing (NLP). 

Also, they found ways to exploit its design flaws, causing it to learn and repeat unacceptable thoughts. Tay didn’t take long to start imitating some of the comments and phrases on Twitter, eventually making sexist, racist, and insulting insults toward other Twitter users. Microsoft shut it off permanently in less than 24 hours.

2. Amazon’s AI Recruitment Tool

Indeed, organizations are increasingly turning to artificial intelligence (AI) to assist them to find competent job candidates. Amazon created custom technologies in 2014 to automate and streamline the talent recruiting process. 

A year later, the company’s machine learning researchers decided to delve deeper into their AI-powered recruiting tool. They discovered that the algorithm frequently recommended men for technical positions while rejecting women’s resumes when it did so. 

Machine learning algorithms appear to have mastered the hiring process after examining applications submitted to Amazon over a ten-year span. 

The majority of those resumes were from men because men have typically performed those roles. As the algorithms became more aware of the pattern, they began to favor men. Amazon attempted to make the program more gender-neutral, but it was ultimately abandoned.

3. Hong Kong Real Estate

You’re a Hong Kong real estate billionaire who needs someone to manage a portion of your money so you may expand your business. Instead of employing a financial counselor, you decide to invest in an artificial intelligence system. Every day, the robot drains money from your account to the tune of USD 20 million. We are not talking about fiction here. 

Samathur Li Kin-kan experienced exactly that between 2017 and 2018. He sued the fintech firm behind the corporation for USD 23 million in an attempt to collect some of his losses, claiming the firm exaggerated the bot’s capabilities.

Common Mistakes behind Artificial Intelligence Failure

We know that the industry is booming, but knowing where AI is failing is also important. Let’s see the common reasons for AI failures in healthcare, IT supply chain, accounting, etc.

In the haste to install AI at their company, executives will often grab any data they can get their hands on and try to incorporate it into their machine learning program. They then question why it isn’t producing insights from that data. Data must be clean and correct in order to be actionable and AI-ready.

Frequently, business issues arise as a result of a flaw in an existing workflow or process. While AI may be able to assist in the resolution of some of these issues, it is not a quick solution. To really identify and correct inefficiencies, business process reengineering is frequently required.

Sure, your data science team may be able to complete an AI project by themselves. But what if the system configuration isn’t in line with your company’s needs? Your operations team should be involved in the project from the beginning.

True, AI is a fascinating technology, but artificial intelligence failure is also real. However, it’s easy to become so engrossed in technology that you lose sight of the fact that it’s being used by actual people.

An AI project can elicit apprehension in your departments, and particularly among employees who think that the technology will reduce or even eliminate their function. This uneasy personnel will be hesitant to learn and adopt new technologies if organizational change management is not prioritized.

Bottom line

If you don’t want to fail with your latest AI investment, choose one of the best ERP vendors. We, at DFSM, can lay out the perfect plan for AI technology implementation and analyze your company and prevent any project management failures. 

So, if you want to harness the true power of AI, contact us now for a one-to-one consultation. Our experts are also available to guide you on the implementation of AI in healthcare and AI in supply chain management.

Microsoft Dynamics Professionals

Power Platform new capabilities 2021 release

The 2021 Microsoft Power Platform Release Wave 1 has new features for the ever-changing business needs. The features are releasing soon from April 2021 through to September 2021. It includes all the features for Power BI, Power Apps, Power Apps Portals, Power Automate, Power Virtual Agents, AI Builder, and Data Integration.


News and changes in Microsoft Power Platform Release Wave 1

Power bi 2020

Microsoft Power BI

Microsoft Power BI invests in their key areas of encouraging a positive data culture through amazing data experiences, integrations where teams work, and modern enterprise BI.

  • Power BI Pro delivers AI-infused insights to ensure easy access for everyone.  Microsoft will continue to make Power BI content easier. The new Quick Create feature will evolve and always allow you to access advanced capabilities like small multiples and composite models. Further Power BI will be available to integrate the Teams with new experiences in teams channels, meetings, and chat.

  • Power BI Premium continues to provide features that allow companies to speed up delivering insights on a scale that fits the company’s most challenging needs. This release offers versatile licensing models for businesses to choose between choices for per user per capability.

Power BI Embedded supplies a new product generation that allows customers to increase their ROI, scale quickly and achieve 16 times faster efficiency. Continuous usage analysis and cost control would be made possible for clients at the workspace level. Embedded Generation 2 also introduces a lower level of entrance for paginated reports and AI workload—start with an A1 SKU and get as you need it.

  • Microsoft Power Apps:

Microsoft Power Apps blend a bare canvas’s versatility that can link to any data source with the strength that is modelled over Microsoft Dataverse with the rich types, views, and dashboards. This release adds Monitor for debugging features, printing support (one top request from our maker community), and mixed truth for canvas applications. Microsoft also enhances global search relevance and introduces in-app updates to applications powered by templates.

Power bi
Microsoft Powerapps
  • Power Apps portals:

Power Apps Portals improve the integration of Power BI to support live Microsoft Azure Analysis Services. It allows the sending of custom data objects, which provide additional background for customizing end-user reports and dashboards. Microsoft is introducing the ability to share apps with colleagues outside a team’s integrations at the front of Team Dataverse and enabling table data editing in Excel.

  • Microsoft Power Automate:

Microsoft Power Automate workflow strengthens the integration of cloud flow with other Microsoft products. For instance, a new trigger can be found in Microsoft Dataverse while an operation is being carried out. This feature enhances work with the traditional model of events and improves alignment with Dynamics 365 Finance Operations. Power Automate Desktop was launched in December 2020 to general availability and allowed manufacturers to automate their desktop applications’ diversity. Shortly, Microsoft will include migration, safe credential management, and much more for current software and UI customers.

Finally, the Process Advisor enhances experiences, which offers insights into how people function. A process mining feature in Power Automate provides rich visualizations where users can find routine, time-consuming processes that can best be automated.

power automate
  • Microsoft Power Virtual Agents:

Microsoft Power Virtual Agents offers enhancements to the authoring experience by offering topic recommendations from bot sessions, image and video assistance, and management of new stimuli to increase your bot’s capability. Additionally, it has the ” @mention” functionality and the ability to share your bot with a protection community to Power Virtual Agents (PVA) that is generated by Teams. Microsoft has also expanded upon the incorporation of Power Automate with improved error handling. Finally, we will obtain PCI and HITRUST certifications and support for the government Cloud.

Microsoft Power Virtual Agents
  • AI Builder:

The Power Platform capability incorporates new AI models features in the preview and improvements in form processing. To detect if a signature has a particular position in a document, the new capacity requires a new area of availability and signature detection.

powerapps and flows

How can DFSM help?


DFSM is here to help you implement the same tools and app along with the consultancy. We will ensure you will have a brief understanding of the latest release to easily understand the new features and work according to your business needs.

Power BI


We will help you implement the Power BI and provide consultancy. Company intelligence in Microsoft simplifies the way businesses gain data insights and these insights allow organizations to make decisions, not assumptions, based on evidence. The emphasis is still on three key areas for Microsoft:

  • Amazing data experiences
  • Modern enterprise BI
  • Integrations where teams work

Similarly, the other upgrades are also part of the consultancy if you need them for your business.

Power Apps


Power Apps updates contain:

  • Single Interface Experience duplication identification.
  • Improved connectivity to mobile business processes.
  • Enhanced search knowledge of global significance.
  • Model-driven in-app alerts.

AI Builder

  • Form processing improvements
  • New Region Availability
  • Signature detection

Power Apps Portals

  • Significant improvements for portal developers of all skills.
  • Enhancements to the low code toolset to reduce the time taken to build sophisticated websites.
  • Support is enabled for familiar pro-developer tools for advanced developers.
  • In-app notifications for model-driven apps.

Power Automate

Digital and robotic process automation (RPA) helps organizations to do things more efficiently. Power automation changes include:

  • Cloud Flows
  • Desktop Flows
  • Process Advisor

Power Virtual agents

Enhanced authoring experience includes:

  • Variables list 
  • Topic suggestions from bot sessions
  • Cards for adaptation 
  • Incorporation of Power Automation with increased error management
  • Management of new trigger issue

Data Integration

Improved data integration includes:

  • Enhancement by Azure Maps integration 
  • Gateway diagnostics
  • Enhanced management of errors
  • Visual data prep for Power Query Desktop
  • Upgrades in security

Microsoft Dynamics Professional

What is Power Platform and Why you should use it?

Power platform (read about our ultimate guide here) keeps  allowing various businesses to create and execute customized apps, reports, and workflows. It includes Power Apps, Power BI, Power Automate, and Power Virtual Agents.

Moreover, these platforms help businesses to keep their data under a unified model. It is flexible enough to connect with Office 365 and Dynamics 365, making it easier for businesses to catch up on the data and data analysis. Additionally, it has a portal app helping users to interact with business data as per their needs.



Why Power Platform for Your Business?

Business challenges popping up during the pandemic have led us to the many challenges regarding business sales and other business operations. So, the Power Platform has proven itself to be worthy for this time. It can dramatically reduce paperwork, administrative duties, and enable companies to work on more competitive strategies. The self-service tool included in it enhances the client’s ability to identify customers’ needs on time and respond accordingly.


Improve Omnichannel Capabilities

No matter how your clients are communicating with you – online, mobile, or in person. Power Platform offers technology solutions that allow you to provide a steady stream of revenue throughout the board.

Gain Competitive Advantage


Small and medium-sized enterprises need access to real-time and enforceable data analytics. It is to their advantage for making decisions to sustain profitability through difficult times. The Power Platform offers an affordable way to access your existing data.

Empower Employees to Deliver Exceptional Customer Experiences


COVID-19’s results have enabled contactless interactions as a baseline expectation. Power Platform allows you to reconsider customer flows, eventually increasing customer satisfaction and employee morale.

Getting Started with Power Platform


Businesses are surviving these days on innovation. If you are not modernizing, you are probably leading to the wrong path. With the PowerApps or Azure Cloud, businesses can truly reach this level. It gives a low-code solution and more power to the developers and allows them to create the apps merely through visual representations. You can automate manual processes, have clearer insights on the data, and help you build apps in no time.

Ultimately, you are also confident about the data collection process’s accuracy and security by leveraging the Common Data Service (CDS) to integrate data from 350+ sources.

However, deploying the Power platform can be challenging initially, and you will need a technology partner for it. The partner or Microsoft certified organization will help you in setting an effective roadmap.

So, here is DFSM as a leading Microsoft partner and your best Microsoft Power BI consultant. You can rely on us with the implementation of the Power Platform without any hassles. Our team will gather your business information, understanding every aspect of operations, and help you with the realistic roadmap for starting on the Power Platform as soon as possible. Feel free to connect with our experts any time you need.

Power platform Success stories : American Red Cross

Organisations like the American Red Cross are carrying huge responsibility on their shoulders, investing in the right solution technology is a top priority.

Before going any further, you need to understand how the organisation works. The business scenario is simple. In times of disaster, they are the ones to deliver supplies and any emergencies are carried out by them like CPR, etc. So, catering to the needs of people in trouble, they need to be more efficient and productive.

Challenges of the American Red Cross

The biggest challenge as stated by the people working them was to answer a simple question, what are the numbers of the orders filled each month? They say that this was the simple question, but as they had their data on a paper form. They couldn’t answer it immediately. Therefore, the paper-work was more challenging than reducing some.

  • Orders lost in a way to the logistics team
  • There was no visibility into the orders
  • Confusion about receiving the orders was on the peak



Efficient Solution for American Red Cross – Power platform


Dynamics 365 is already in implementation within the organisations. However, it can be more beneficial when combined with the power platform.

PowerApps enables them to create an app, whereas the data can be shared through SharePoint and they were getting daily updates on the progress. The benefits of using the shopping cart app were in abundance and some of them are:

  • The lifecycle of the order is now 3-5 days then the weeks.
  • Visibility into the order lifecycle and logistics team workload
  • Instructors can now build other apps too
  • Quick in adding features
  • Regular status updates



Power BI has proved to be a great help for the American Red Cross. We know the challenges and the solutions. But this story of success doesn’t end here. If you think of it in detail, you will understand how it is assisting people in thinking beyond the single solution. They are building more business solutions using the power platform by Dynamics 365. More solutions include:

  • Asset tracking & assignment
  • Disaster Transpiration tool
  • Hurricane Harvey Volunteer Status Check

Still counting…

The main thing is that you can respond as quickly as possible. Therefore, the power platform is offering the best features to help act quickly especially during disasters. We can also imagine the situation of ongoing crises of Coronavirus, volunteers are befitting from this toll for it too.


AI Builder: A new machine learning for Power Platform

Microsoft has remained a pioneer for smart and intelligent application and Power Platform is one of them. Since technology is something that never stops innovating, that is the reason for new and innovative features to keep coming. We all know how Microsoft PowerApps is helping businesses to build apps for their organization without any hassle. It offers non-developers the ability to build as many apps as possible by connecting them with critical business data. All power platforms consume the common data services CDS behind the scenes.
So, adding up on the AI builder, it will make it easy for developers to adapt the machine learning approach for common scenarios. Ultimately, it will benefit in reducing the cost and overall effort of developer sin building business apps.
However, the process of making apps is already easy with reduced or now-code policy. But to ease the process little more, AI builder is now tightly intact to the Power platform for non-developers.
powerapps and flows

How AI builder is improving the Power Platform with AI & Machine learning?

Above mentioned information is too little to understand the core functionality of the AI builder. So, to get a complete understanding of this new feature of power platform, you need to learn about all the features of it.
So, before you move on to enjoy the AI builder in Power app, here are the capabilities that will help you to take full advantage of it.

1. Binary Classification

History is the best teacher and there is no denying in that. Similarly, the AI builder binary classification model helps in predicting future decisions. Prediction is based on historical scenarios. So, it is the way to take binary options answers that can be Yes/No, Pass/Fail, true/false, etc.

2. Text Classification

People in business are already aware of Natural Language Processing NLP. So, to solve your problems, AI builder text classification automates business processes. Besides that, it scales business processes and restrains your employees from acting on any spam insights, etc. Data is sorted with it and streamline the business processes.

3. Object Detection

This feature in the model is used to locate the objects from the image and simplify any inventory management system. It can help retailers to build better online customer relationships. And technicians can speed up their repair processes. So, with one feature we can solve many simple problems easily.

4. Business Card Reader

It is a smart way to extract business information imply by a business card. This feature in the power app studio will always help to scan any business card.

5. Form Processing

Tax forms and invoices can be processed without any extensive data science expertise with form processing.


Overall, the benefits of AI builder are offering the real-time experience to organizations for better decisions. Therefore, many users of AI builders are already praising it for its top-notch ability of building apps with automation. If your organization is also seeking for automation and artificial intelligent systems, DFSM has the experts for it. Just contact the team and enjoy the services.

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