The process for data analytics and business analytics is virtually the same, as both make use of statistical and quantitative methods to draw conclusions. But while data analytics can be employed in a broad range of scenarios, business analytics is solely concerned with improving business processes and outcomes.
Business intelligence is more about the delivery of the conclusions, post-analysis, to decision makers. It’s a subset of business analytics that focuses on creating reports, visualizations, and dashboards that help business leaders easily consume the data and insights.
Data science, like business analytics, involves gathering data, modeling, and deriving meaningful insights from data, but it typically involves asking more broad and general questions that aren’t specifically business-related.
For example, if a person opens a coffee shop, data science can help them answer questions like “What is the typical demographic of the average coffee drinker?” and “What month of the year do I sell the most coffee?”
Business analytics would answer questions like “Am I making a profit?” and “What menu item isn’t selling and should be removed to save money?”