Business Intelligence vs. Data Science – Same thing, different semantics?

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Business Intelligence vs. Data Science – Same thing, different semantics? 

diagram, venn diagram

Overlap : Both disciplines are data-heavy; data both in the input and the output and deliverables will be very data-focused and both contingent on proper data management. They both require data engineering. Finally, the both utilize data visualization to convey the data story.

Difference : if it wasn’t for the big difference in methods, tools, and approach, I don’t think we would have seen them as two different fields. The major difference is that while BI focused on past and actual data, DS tries to predict the future. That subtle difference in focus requires two very different approaches. DS applies a much more explorative approach, often using unstructured data, whereas BI mainly works with structured data in a descriptive way.

Future
While the data analytics field matures, I am confident that the two disciplines will converge more and more. There is a vast overlap in handling data pipelines, transforming data, and authoring data stories through data visualizations – but even more so in the end goal. One focuses on the past, the other on the future, but they aim to improve the decisions taken today.

What do you think?

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