How are Softer Skills still relevant for Data Leaders? Part 4: Data
Continuing our series on how data leaders (not just analysts) need softer skills to succeed. Part 4 – the skills needed at the Data stage.
Tag: process
July 7, 2022
A common mistake analysts make, failing to recognise your own bias
As an analyst do you fail to recognise your own bias? Or have you implemented effective coping strategies? Tony Boobier reflects on our biases
Humanise your automation to ensure a positive employee experience
CX author Annette Franz shares why you should humanise your automation to ensure positive customer & employee experiences, not just processes.
Make sure you don’t drown your Unicorn as you grow
Practical advice so you don’t drown your unicorn (data science or analytics) as demand grows within your business, from Harry Powell (JLR).
What presents does Brand Santa really need this year?
Why competencies to thrive in the Digital Era may answer the question of what presents does Brand Santa need this year, advises Tony Boobier.
Which data visualisation tool to use in your technology stack
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 your tech stack
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.
How Data Science teams can be more methodical (step 1 of 2)
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.
How to choose the coach who will help you grow as a leader
Sharing a process recommended by ILM, about how to choose a coach. This 3 stage process should help prospective clients find suitably qualified coaches.
Offshoring Analytics: my personal experience of is it worth it?
Sharing personal experience of offshoring analytics and the problems that ensued. Includes advice on “watch outs” and potential mitigations.