Many organisations have seen big-ticket analytics projects turn into a morass of expense, confusion and lacklustre results. While some mistakes are unavoidable, there are ways to make the best of such experiences.
The Facebook - Cambridge Analytica saga has dominated headlines. It has been a useful case study for companies thinking about their data and partnerships arrangements.
‘Data scientist’ clearly overlaps with pre-existing jobs like statisticians, business analysts and even actuaries, but as our resident Data columnist Hugh Miller reports, it also carries its own flavour. The proof is in the data.