“No one told you when to run, you missed the starting gun” Pink Floyd, Time Understanding Time-Based Customer Behaviour Models In our previous discussions about predictive modelling for customer retention, we explored models that predict a customer’s...
On the importance of connective tissue between technical solutions and business problems. Also on Indiana Jones, Monty Python and the Holy Grail, and such other important matters. Sometimes, enterprise data science can feel like one of those scenes in the Indiana...
We were creating demo images for a dummy retail website we wanted to create for a Solus demo instance. So, when we were getting images of electronic equipment, this popped up: So, obviously, we leaned into it and decided to add a monitor to the product assortment. We...
This quote has been variously attributed to Yogi Berra, Neils Bohr, Mark Twain and others. Nevertheless, it contains a nugget of wisdom about predictive models, especially those dealing with social systems rather than physical ones: people change, the underlying...
In an earlier blog post, we spoke about typical predictive models that are built in a CRM setting: the propensity of a customer to transact (either unconditionally, or of a specific type or in a specific product category), churn, repeat a transaction etc. In this pot,...
