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Prepare Your Data

Data Aggregation, Data Aggregation

Data Aggregation

The Right Aggregates at the Right Time

Data Aggregation'

Predictive insight can be boosted by introducing data aggregates as potential predictive variables in the analytical data set. For example, a telecommunications operator might calculate the average number of calls per day and then further slice those results by call type, destination, or time of day.

While aggregates play such a big role in predictive modeling, they’re typically not part of your CRM, ERP or business intelligence solution. So data miners go ahead and calculate these numbers by hand each and every time they want to build or refresh a predictive model. Seem redundant? Well, it is.

With InfiniteInsight™ Explorer, there is no limit to the number of aggregates you can add to your analytical data sets. For many of our customers, they’ve included hundreds, even thousands of aggregates, which are recalculated every time you train your predictive model.

  • New aggregates with clicks, not code
  • Supports thousands of aggregates
  • Easy definition of aggregates spanning multiple time periods of interest
  • Aggregates on relative date (for example, based on the date of an event)
  • Easy definition of transition between events (e.g. total click path transitions from one web page to another)
  • Automatically generate aggregates to streamline the modeling process (Neopost)
  • Added aggregates to give greater visibility into borrowers’ credit health (Major marketing database services provider)
  • Aggregates to count views of specific web pages and click paths (Major online customer service provider)

Success Stories

CRM Next Best Activity

Learn how to make every interaction the Next Best Action using best-in-class predictive analytics and business rules.