Data Sources for Predictive Analytics Projects
Part of the Predictive Analytics For Dummies Cheat Sheet
Data for a predictive analytics project can come from many different sources. Some of the most common sources are within your own organization; other common sources include data purchased from outside vendors.
Internal data sources include
Transactional data, such as customer purchases
Customer profiles, such as user-entered information from registration forms
Campaign histories, including whether customers responded to advertisements
Clickstream data, including the patterns of customers’ web clicks
Customer interactions, such as those from e-mails, chats, surveys, and customer-service calls
Machine-generated data, such as that from telematics, sensors, and smart meters
External data sources include
Social media such as Facebook, Twitter, and LinkedIn
Subscription services such as Bloomberg, Thompson Reuters, Esri, and Westlaw
By combining data from several disparate data sources in your predictive models, you may get a better overall view of your customer, thus a more accurate model.