Top 10 Business Intelligence Trends in 2022

Read about the top 10 BI trends that are expected in 2022.

Top 10 Business Intelligence Trends in 2022

Business intelligence (BI) assists firms in analysing historical and current data in order to swiftly identify actionable insights for tactical decision making. Business intelligence solutions enable this by processing massive data sets from numerous sources and providing results in visually appealing ways that are simple to grasp and distribute.

Here are the top 10 business intelligence trends to watch out in 2022:

#1. Artificial Intelligence


Artificial intelligence (AI) is the study of making robots perform what complex human intelligence does. Despite the legitimate warnings of certain serious researchers and tech-entrepreneurs, AI is still not on the verge of destroying us, despite being portrayed in films as the greatest foe-friend of the human race.

#2. Data Security

Data and information security were on everyone's minds in 2021, and they will be again in 2022. The integration of privacy rules like the CCPA (California Consumer Privacy Act) in the United States, GDPR (General Data Protection Regulation) in the EU, and the LGPD (General Personal Data Protection Law) in Brazil has laid the groundwork for data security and user information management.

The Shield was a legal structure that allowed corporations to transfer data from the EU to the US, but due to recent legislative developments rendering the procedure invalid, businesses with bases in the US no longer have the ability to transfer any EU data subjects.

#3. Data Discovery


In the recent year, data discovery has grown in importance. According to the Business Application Research Center, data discovery is one of the top four business intelligence trends for 2022 in terms of importance. BI practitioners consistently demonstrate that empowering business users is a significant and constant trend.

#4. Data Quality Management

With so much data being generated every second, employing quality data when performing analysis is becoming a vital component, and thus a relevant business intelligence trend to watch for in 2022. Given that bad data quality charges single businesses between $9.7 and $14.2 million annually, it is hard to overlook the significance of this trend, as operating with insufficient data is not only a waste of funds but may also severely injure businesses. Poor data quality can have a negative impact on marketing expenditures, how precisely firms understand customer habits, how quickly leads can be converted into sales, and even larger company decisions such as incorrect investment or resource allocation.

#5. Predictive & Prescriptive Analytics Tools


It is a subset of data mining that only considers historical data. Predictive analytics incorporates predicted future data and so always involves the risk of errors in its definition, albeit such errors are rapidly decreasing as software that manages enormous volumes of data today grows increasingly valuable. Predictive analytics predicts what will happen in the future with a reasonable degree of certainty, including a few different possibilities and risk assessment. Predictive analytics is used in business to examine current data and past facts to better comprehend customers, services, and partners, as well as identify potential dangers and opportunities for a business.

#6. Real-time Data & Analytics

The demand for real-time data has increased dramatically this year and will continue to grow as one of the BI trends for 2022. Since the pandemic's arrival, we've seen that the necessity for real-time and precise updates is crucial in building appropriate methods to respond to such unpleasant occurrences. Some governments have used information to make the best judgments possible, and businesses have followed suit to secure survival in these unpredictable times. Real-time data accessibility has become the norm in daily life, not just for corporations but also for the general populace, with news briefings replete with the most recent facts, graphs, and figures that have shaped some of the epidemic strategies.

#7. Collaborative Business Intelligence

Managers and employees must engage differently in today's increasingly competitive world. We are witnessing the rise of a new type of business intelligence: collaborative BI. It combines collaboration tools, such as social media and other 2.0 technologies, with online business intelligence tools. This is created in a setting of increased collaboration to solve the new issues that the fast-track industry presents, where more analyses are performed and reports are updated. When discussing collaborative BI, the word "self-service BI" frequently comes up, referring to self-service solutions that do not need an IT team to access, analyse, and understand all of the data.

#8. Data Automation


Without data (analysis) automation,BI subjects would be incomplete. We saw so much data produced, saved, and ready to analyse in the last decade that businesses and organisations were really looking for modern data automation solutions to deal with vast amounts of information that had been acquired. According to a KDNuggets poll, data science chores will be automated over the next decade; so, it is one of the developments in business intelligence that we need to keep a close eye on because we don't know when it will occur.


Business intelligence (BI) is the application of business analytics, data mining, data visualisation, data tools and architecture, and best practices to assist organisations in making more data-driven choices. In practice, modern business intelligence is demonstrated when you have a full picture of your organization's data and use that data to drive innovation, reduce inefficiencies, and quickly adjust to market or supply developments.

It's worth noting that this is a pretty new definition of BI and BI has a tumultuous past as a buzzword. Traditional Business Intelligence, complete with capital letters, first appeared in the 1960s as a framework for sharing information across enterprises. It evolved with computer systems for decision-making and converting data into useful information in the 1980s before becoming a particular product from BI experts with IT-reliant service solutions. Modern business intelligence systems prioritise self-service flexibility, controlled data on trusted platforms, engaged business users, and immediacy to insight.