The story of Santa’s Winter of Discontent and whether NOEL was the solution or not As festive AI tale for our times from Tony Boobier.
Continuing our series on how data leaders (not just analysts) need softer skills to succeed. Part 4 – the skills needed at the Data stage.
As an analyst do you fail to recognise your own bias? Or have you implemented effective coping strategies? Tony Boobier reflects on our biases
CX author Annette Franz shares why you should humanise your automation to ensure positive customer & employee experiences, not just processes.
Practical advice so you don’t drown your unicorn (data science or analytics) as demand grows within your business, from Harry Powell (JLR).
Why competencies to thrive in the Digital Era may answer the question of what presents does Brand Santa need this year, advises Tony Boobier.
Sharing resources to help you choose which data visualisation tool you need in your technology stack, guided by your design choices.
How to choose the elements that should make up a technology stack (whether for venture capital or data leaders), Francesco Corea shares what to consider.
The case for Data Science teams being more methodical and an overview of the 3 most established methodologies used by Data Scientists today. Part 1 of 2.
Sharing a process recommended by ILM, about how to choose a coach. This 3 stage process should help prospective clients find suitably qualified coaches.
Sharing personal experience of offshoring analytics and the problems that ensued. Includes advice on “watch outs” and potential mitigations.