Recorded June 2019
In today's complex, omnichannel retailing 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.
Review data transformations for preparing customer datasets - how to prepare your data for customer churn analysis
Review how to setup easier operationalization (making APIs or scheduling jobs) in a collaborative data engineering and modeling environment for multiple team members to see and interact with at once
See how data engineers and data scientists working together can bring their own preferred programming language to the solution - R, SQL, Python, or Scala
Review a solution architecture using Azure Databricks for a parallelized data solution, combining data from multiple sources at once, structured or unstructured, with parallelized model training (trying different algorithms and doing a faster hyperparameter sweep and cross-validation)
Dr. Colby Ford, AI Architect
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.