Recorded October 2017
In today's competitive market, maintaining a high customer retention rate is critical to success. Understanding when a customer may be at risk to break ties with your organization could help you take a more targeted approach to relationship management, effectively plan for future financial impact, and even prevent the loss of customers in the first place.
Discuss industry use cases for customer churn in retail, distribution, banking, and utilities environments
Learn how to utilize historic customer data for use in the churn prediction
Understand how to identify the root causes of churn and potentially prevent loss of customers
Coming from a background in mathematics, statistics, and bioinformatics, Colby combines this expertise to bring Data Science to everyone. He utilizes R and Python and puts Machine Learning to work to gain insight from data. Outside of BlueGranite, Colby is an avid pianist and genomics researcher. Check out Colby’s website at www.colbyford.com.
Barrie Pike is an accomplished executive with over 25 years’experience in the technology industry specializing in building solutions and applications for consumer goods, retailers, and manufacturers. He is data driven with a deep focus on driving analytics into all aspects of the retail supply and demand chain. Currently, Barrie works as a consultant helping organizations transform their technical and business experience into rapidly deployable and repeatable solutions.