Sharing my experience of selecting and working with a standing desk. How it has helped my energy & focus, plus why you should consider them for analysts.
On this most romantic of days, have your thoughts turned to how you could express loving your team? Happy Valentine’s Day to all our readers (or Ash Wednesday, if you’re more focussed on the start of Lent). However you celebrate today, I hope you can enjoy it & also have time to reflect. Please don’t misunderstand the title of this post, I am not talking about romantic engagement with your.. Read More
Praising the benefits of accepting imperfection in analytics. Paul Laughlin shares 4 examples of how accepting imperfection helps analytics leaders progress
Guest blogger, Martin Squires from Walgreen Boots, shares why you need an analyst at least as much as data scientists & why a medical analogy helps.
This is continuing my report from Data Insight Leaders 2017 Day Two. That is, day two of a useful Summit (that I’m chairing), held in Barcelona. In this post I summarise this final day of an enjoyable event. I’m not just saying it’s good because I chaired this conference, honest! Talking to the actual data insight leaders who attended (and made up most of our audience), they agreed it was.. Read More
Analytics as a weapons guidance systems? This could only be the second post in two-part series by our guest blogger Peter Lavers. You may recall that, in his first post, Peter made the case for data being the new marketing battleground. He argued that Marketing and CRM are in exciting times because is it now economically viable to unlock the incredible value of data. Value that’s often hidden in inaccessible.. Read More
Which are the most important skills, needed by analysts or data scientists? It’s an interesting question to ponder. It is tempting to fall back on technical basics, like statistical knowledge & software or coding skills. But most graduate data scientists or experienced analysts will be screened for those at recruitment. So, if you are leading an Analytics, Data Science or Insight team, where should you invest?