Increase Revenue by Predicting Customer Churn

Value from Predicting Customer Churn Predicting customer churn allows businesses to leverage predictive analytics to classify customers based on how likely they are to churn.  You can divide your customers into segments or get as granular as calculating each customers probability of churn.  By using historical data from your operational systems you can mine the data to create predictive classifications.  Then using this information you can modify your operational processes to take advantage of this new insight and how best to handle your customer base customized to each customer.  While data quality is important, when you first get started building predictive modeling you should start with the data you have.  It is more important to build a model, filter out bad data, and learn about your data and how it can improve your operations. Using data from a fictitious telecommunication company.  You will see how data mining works to determine [...]