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?
I hope you’ve found this month’s Data Science content to be useful, as I’d also like to share with you some personal Data Science stories. To complement the technical resources I’ve shared recently, it’s important to also focus on the people side. Customer Insight Leader exists to encourage and inform more holistic customer insight leaders, covering the disciplines of data, analytics & research, as well as the requisite leadership skills… Read More
This post concludes our two-part series, on the questions that insight leaders raised, at a DataIQ Discussion event. I hope you found part one, helpful. There we focussed on topics including: measuring your impact breaking through cultural barriers best organisational design tools needed by insight teams executing your insights (driving action as a result)