data analytics

2020 turned into a year when the COVID-19 pandemic, adversely affecting almost every sector, transformed the business arena.

The year will even stay in records because the period compelled agencies and clients to move digital. It is foreseen that every organization will need to be proactive where records and analytics are concerned.

Here are some analytics trends predicted by Gartner. 

7 trends in data analytics marketplace 2021

1). Decision intelligence

Decision Intelligence is a system that integrates real-time analytics with commercial enterprise operations. It is a practical domain including multiple decision-making techniques. It recommends actions based on each historical and actual-time record. Industries can use decision intelligence to display and optimize scheduling selections and provide more effective customer support.

 It is predicted that over 33% of the brand new enterprise structures will be using it by 2023.

2). Dynamic stories replacing dashboards

In the analytics marketplace up to this point, dashboard users have spent plenty of time doing manual work to get deeper insights from the pre-described dashboards. Artificial Intelligence and machine learning strategies have become extra accommodated into business intelligence systems, we’ll see the spread of dynamic data stories. They will offer more automation, according to Gartner. 

3). More focus on data protection and regulatory compliance

We are likely to see heightened attention towards the securing of advertising data In 2021. It is as critical as creating the right infrastructure to set it up. Marketers will boom their funding in technology that emphasizes encryption. The analytics vendors who have complete tracking, signals, and cybersecurity practices will be on the top. 

4). Growth of CDP

 Introducing customer data platforms as a carrier means merging big data analytics solutions to fulfill the quick-growing consumer needs with the usage of stored customer facts. A CDP would hold everything ranging from Data sources to customer information. It would grow both for B2B and B2C businesses.

5. More Reliability on third-party sources

Getting above from knowing only about people’s interactions with a company’s resources, the emphasis will be on third-party sources that would let them get a robust view of customers. The trend is in the lap of browser-based cookies. Though managing third-party pipelines are challenging, marketplaces with advanced developments are sufficient to tackle them.

According to a 2020 study by IAB and Winterberry Group, US marketers have 6.1% more inclination towards third-party sources than last year. It is expected to go deeper in 2021.

6. Use of Cloud

 Statistics and data as the core of the data analytics marketplace would use cloud technology to provide access to users and applications without relying on the location of the users or programs on a real-time basis. A combination of on-premise warehouse and cloud technology will provide organizations a hybrid way. By integrating large data analytics solutions into their platforms, database providers will host and manage facts better than before. 

7. Adoption of predictive analytics

Predictive analysis stands for identifying future outcomes with the analysis of past data. It incorporates look-alike modeling and is backed by machine learning. It recognizes prospects with higher chances of becoming customers. Predictions can upgrade to more accuracy over time with continuous model improvements.

By Anurag Rathod

Anurag Rathod is an Editor of, who is passionate for app-based startup solutions and on-demand business ideas. He believes in spreading tech trends. He is an avid reader and loves thinking out of the box to promote new technologies.