Sharing my experience of helping a non-technical audience understand Data Science. Including what I shared at a Masterclass for University of South Wales.
I’m currently in the process of writing a white paper on some recent research regarding consumer usage of multiple devices online & the resulting poor experience. Probably akin to the way, when you buy a new model of car, you suddenly notice many more of them on the road, I’ve noticed a lot of white papers being advertised recently. So, following previous posts that have recommended blogs, newsletters, podcasts &.. Read More
Already, this autumn, I’ve had opportunity to meet & work with a variety of customer insight leaders. All of them, in different contexts, struggle with the need to secure buy-in to the potential of customer insight for their business. So, hopefully, it will help others to capture some of our thinking & achieve action in response. These insight leaders come from different sectors & are working within businesses with different.. Read More
As we enter conference season once more, perhaps like me, you’re getting used to regular emails. Many contain advertorial content on Data Science, Internet of Things or more rarely Machine Learning. Perhaps it is an indication that corporate life is more conservative, that Analytics and Big Data are still more prominent terms. I’ve yet to hear a Financial Services executive focus on Machine Learning as a key part of their insight.. Read More
I don’t know about you, but one of the perennial issues I experience when communicating analytical findings to clients, or fellow business leaders, is to help them avoid the pitfall of assuming that correlation equates to causation. Once a relationship can be shown between some customer characteristics and the objective of interest, say likelihood to purchase, people love to rush to hypotheses as to why this makes sense – even when it.. Read More