BI and Data Science: Matching Approaches to Applications

This is a companion discussion topic for the original entry at https://www.rstudio.com/blog/bi-and-data-science-the-tradeoffs


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In the previous posts in our series on Data Science and Business Intelligence, we first discussed how data science can either complement or augment self-service BI tools to deliver more combined value. We then explored the strengths and challenges of the two approaches, both of which aim to help an organization get more insights from their data and to make better decisions.
In this post, we’ll provide insights from organizations who have used both types of tools and give some guidance about which you should use when.