When Harry Powell shared, that he was planning to attend this year’s Alan Turing Institute annual lecture, I naturally asked him to blog for us. Harry is a very experienced Data Science leader, having created & led Data Science teams at several businesses, including Barclays. So, I was interested to learn more about his interest in a lecture from Prof. Sandy Pentland of MIT. As someone with a background in.. Read More
Guest blogger, Akeel Attar, shares his experience of automating IoT. He explains why industrial IoT applications need rule elicitation.
Advice from 4 specialist publications, on how to design analytics teams. Options to consider, pitfalls to avoid & learning from experience of an apprentice.
Happy New Year, it’s time to decide what your annual specific goals will be. For the last couple of years, I’ve shared a post recommending a system for setting goals & achieving them. However, a few conversations with insight leaders have reminded me that advice remains generic. What about which goals to set? As this blog aims to support Customer Insight Leaders, I want to also offer more specific advice.
At Customer Insight Leader we love providing you with useful free resources. As a non-commercial, advertising free, site – we know our visitors value both independent advice & access to free resources. I hope today’s curation of customer insight & analytics related resources, helps you in your role. In line with our advocating of holistic customer insight, I’ve included resources to help develop your research, data science & analytics work… Read More
How big a bet are you making on Data Science, are you going ‘all in’? With any event as rich in content at Data Insight Leader Summit, its useful to also hear others ‘takeaways’. So, to supplement my own insights from this conference, I’m delighted to welcome new guest blogger, Hanne Sorteberg. Hanne is BI Manager for SpareBank1 Forsikring, an alliance of savings banks in Norway (together Norway’s 2nd biggest.. Read More
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.