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Business Intelligence solutions: what’s new for 2021

Business Intelligence solutions: what’s new for 2021

With the health context, Business Intelligence (BI) solutions must be reinvented in the service of companies battered by the crisis. 2021 promises many new things. The health crisis has put a spotlight on Business Intelligence. This set of decision support technologies, which has been around for decades and began to take off in the 1990s,

With the health context, Business Intelligence (BI) solutions must be reinvented in the service of companies battered by the crisis. 2021 promises many

new things.

The health crisis has put a spotlight on Business Intelligence. This set of decision support technologies, which has been around for decades and began to take off in the 1990s, has long been the preserve of great specialists such as Business Objects, SAP, Oracle, Qlik, and Microsoft.

The sector is seeing the emergence of many innovative players, with “modern BI” and its start-ups such as Everysens which offers a platform of predictive and collaborative visibility, or even Chartio, Datameer, Trifacta …

Cloud and AI, data storytelling, DataViz, self-service BI … Technological change is more than ever on the agenda, for decision support that is itself more necessary for companies with the pandemic. The five trends to remember.

1- The inescapable Saas model

Still one of the sectors, along with ERP, to offer software packages in premise mode, BI is now migrating to the Cloud and Saas. Issues such as security and confidentiality have slowed this transition for a long time, but the pressure of uses is such, with the generalization of digital transformation, that publishers are coming to it.

2- The rise of predictive

With Big data and AI, predictive will be deployed to serve users in high demand for decision making. Predictive analytics, based on big data and history, can represent the evolution of data over time and in future projections. Predictive features already exist in BI, but AI technologies like machine learning should help improve them.

3- The necessary “self-service” BI

Increasingly, autonomy over data analysis is a need expressed by users. Creating your own charts, your own calculation rules is no longer enough. Today, you need to be able to cross-reference data from different systems yourself to make the analysis more powerful. This is the concept of “self-service” BI.

4- The DataViz which goes to 3.0

The interface and graphical representation tools will become ever more intuitive, with visualization tools based on natural language. It is a fundamental tool of a data-driven business.

5- Data storytelling to personalize

Finally, data storytelling, with data visualization 3.0 solutions, should experience great growth. While these features already exist, they are not widely used, mainly for the benefit of data discovery. It’s literally about telling a story with the data and tailoring it to the audience. The sales manager will not have the same data needs as the purchasing manager …

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