Demystifying the data analytics jargon: The pyramid of analytic use cases

As many specialist fields, data analytics has its own language. While it is not meant as such, this can often create barriers between the experts and the non-experts. Terminology that makes it easier for the data scientists to communicate, can seem incomprehensible to their clients. In my recent blog I explain a clarifying framework: The pyramid of analytic use cases. Data vs. Information vs. Insight vs. Knowledge. It allows to demonstrate very easily where automation and AI/machine learning can bring leverage to the humans, and where not (yet). Read about it here: