This is a companion discussion topic for the original entry at https://www.rstudio.com/blog/bi-and-ds-part1
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In previous posts, we’ve talked about the critical importance of interoperability, and how it helps organizations and data science teams get the most out of their analytic investments. We’ve focused recently on the ways that R and Python can be used together, and how RStudio’s products provide a single home for R and Python. For the next few posts, we will turn our attention to a different aspect of interoperability: the intersection between Business Intelligence (BI) and data science platforms.