3 all too common mistakes analysts make in their technical work
Continuing our series shedding light on common mistakes made by analysts. Here are 3 more mistakes they often make during the technical work.
Continuing our series shedding light on common mistakes made by analysts. Here are 3 more mistakes they often make during the technical work.
Is today’s focus on prediction, rather than explanatory models, weakening the commercial impact of data teams? A challenge from Harry Powell.
Book review of the brilliant “The Art of Statistics Learning from Data” by Prof David Spiegelhalter – why data & analytics leaders need this.
Debrief from the great Analytics, OR & AI Summit 2021 hosted by The OR Society, sharing insights from all speakers & links to learn even more
Most of our content this month has been focussed on helping insight leaders prepare for the year ahead. With the EU approved General Data Protection […]
When you talk to most database marketers, they will agree with the importance of using a propensity model to target direct marketing. Over the last […]
How long does it take to build your insurance pricing models? At what cost, especially if this work is completed by highly paid actuaries? In […]
For those you who have been asking for more digital specific insights and technical advice, I have been listening. To complement our recent content more focussed […]