Is your data project really a software project? Or vice versa?
Chief Data Scientist Richard Pugh shares why every data project is a software project and vice versa. Plus the value of focussing on both.
Tag: data
December 15, 2020
Mastering your between jobs time with the best of new approaches
Sharing resources to help those working in data & analytics master their between jobs time. Try mentoring, charity work & better preparation.
Technology stack question – first answer which type of data leader?
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 technology stack options do data leaders 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?
Data Visualisation 2 – because there is so much to Data-Driven Design
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.
Data Visualisation in Modern Data Architectures (trying a webinar)
Debrief on a webinar I attended, on Data Visualisation & Modern Data Acrhitectures (from Big Data LDN). A mixed experience but with some useful takeaways.
So much more to see in the data at the first #datavizlive (part 1 of 2)
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)
Getting practical with a great introduction to DataOps & why it matters
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.
Trust, is it the most important value sought by businesses?
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 to achieving useful Customer Value Analysis (CVA)
3 more barriers that could prevent you delivering useful Customer Value Analysis (CVA). Guest blogger Paul Weston continues his 2 part series of tips.
Six barriers to delivering meaningful Customer Value Analysis (part 1)
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.
More great Data Visualisation examples from this years awards
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.