How to Use Data Science and Machine Learning to Revolutionize 360 Customer Views (Part 2)

This post is the second in a series where we will go over examples of how MapR data scientist Joe Blue assisted MapR customers, in this case a regional bank, to identify new data sources and apply machine learning algorithms in order to better understand their customers. If you have not already read the first part of this customer 360 series, then it would be good to read that first. In this second part, we will cover a bank customer profitability 360 example, presenting the before, during and after. The back story: a regional bank wanted to gain insights about what's important to their customers based on their activity with the bank. They wanted to establish a digital profile via a customer 360 solution in order to enhance the customer experience, to tailor products, and to make sure customers have the right product for their banking style.