Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions. This multiyear shift of focus from IT-led reporting to business-led self-service analytics passed the tipping point in 2016, which has forced a new perspective on the definition of a BI and analytics platform, and consequently, has significantly re-ordered the vendor landscape as represented in the Magic Quadrant.
Over the last several decades, hundreds of studies in organizations of all kinds- from small family owned retailers to corporate giants, from hospitals to religious orders- have followed certain people’s lead, assessing the capabilities that set the star performers apart from average in jobs within their organization.
Organizations are required to make decisions at an increasingly faster pace, so today’s business intelligence tools help decision makers access the information they need without having to first go through the IT department or specifically designated data scientists.
In a line Business Intelligence is set of theories and concepts which understand business completely, focus on a subject area, identify the problem area and provide an intelligence supported by a pure analytical dataset which results to a decision taken for the good of an organization.
One of the group commented that it’s important to have tools that liberate data (for the right reasons); but there are too many tools that, at the same time, also expose the data to abuse.” Another person agreed, tweeting that departmental data discovery tools enable line-of-business user insight, but some centralized control needs to be maintained.