Book review of Judea Pearl’s masterpiece: “The Book of Why”. An introduction to Causal Science. Why it matters for data scientists & analysts
As an analyst do you fail to recognise your own bias? Or have you implemented effective coping strategies? Tony Boobier reflects on our biases
Top 5 common mistakes made by analysts and how to avoid them. Advice from the hands-on analytics leadership experience of Andy Sutton.
Is today’s focus on prediction, rather than explanatory models, weakening the commercial impact of data teams? A challenge from Harry Powell.
Part 3 of 3 part series on the subpersonalities of an analyst. How the personas of a Politician, Craftsperson & Athlete help with delivering.
Chief Data Scientist, Richard Pugh, explains how data thinking & design thinking can improve on the popular software-first project approach.
Harry Powell, Director of Data & Analytics at JLR explains how he calculates the incremental profit his team generates down to an income line
Why you Analytics team needs a measure of their ROI. Harry Powell argues for the benefits of profit as the best metric of the value-added.
Practical advice so you don’t drown your unicorn (data science or analytics) as demand grows within your business, from Harry Powell (JLR).
Should your data & analytics capability have a market valuation of over $1bn? Harry Powell shares why you may have a unicorn in your attic.
Chief Data Scientist Richard Pugh shares why every data project is a software project and vice versa. Plus the value of focussing on both.