CIO Africa describes the difference well: Business intelligence is descriptive, telling you what’s happening now and what happened in the past to get us to that state. Business analytics, on the other hand, is an umbrella term for data analysis techniques that are predictive — that is, they can tell you what’s going to happen in the future — and prescriptive — that is, they can tell you what you should be doing to create better outcomes. (Business analytics are usually thought of as that subset of the larger category of data analytics that’s specifically focused on business.)
The distinction between the descriptive powers of BI and the predictive or descriptive powers of business analytics goes a bit beyond just the timeframe we’re talking about. It also gets to the heart of the question of who business intelligence is for. As the Stitchdata blog explains, BI aims to deliver straightforward snapshots of the current state of affairs to business managers. While the predictions and advice derived from business analytics requires data science professionals to analyze and interpret, one of the goals of BI is that it should be easy for relatively non-technical end users to understand, and even to dive into the data and create new reports.
See the full article at CIO Africa.