Chief Data Scientist Richard Pugh shares why every data project is a software project and vice versa. Plus the value of focussing on both.
Considering which type of data leader you are, so that you can then answer: Which parts of the technology stack do you need to understand?
Which parts of the technology stack do data or analytics leaders need to understand? Which should they be aware of & be able to guide technology selections?
Why Data Visualisation 2 (2nd Edition) from Andy Kirk will help you become a better data visualiser and what you will find in this important resource.
Debrief on a webinar I attended, on Data Visualisation & Modern Data Acrhitectures (from Big Data LDN). A mixed experience but with some useful takeaways.
Debrief from #datavizlive event in London 2020, sharing key lessons from engaging Data Viz authors & practitioners, with tips for your Data Viz (1 of 2)
Why you need to understand DataOps. A review of “Practical DataOps” book from Harvinder Atwal. Explaining why this book can help all data leaders improve.
Is Trust the most important value sought in B2B relationships today? Peter Lavers & Mark Hollyoake share their Trust DNA Model to guide leaders.
3 more barriers that could prevent you delivering useful Customer Value Analysis (CVA). Guest blogger Paul Weston continues his 2 part series of tips.
How can you overcome the 6 barriers to effective Customer Value Analysis? Guest blogger. Paul Weston, shares his practical experience to tackle the first 3.
3 more great Data Visualisation examples from the winners of this year’s Information is Beautiful awards. Why I have chosen these to help your practice.