Customer Insight

Data Mining

  • “We have reams of data, but no efficient way of generating insights”
  • “We have multiple tools, but nobody seems to understand how to use them effectively to get the answers we need”
  • “We have plenty of insights, but no way to test them and determine the validity of our assumptions and hypotheses concerning customer behavior”

  • What can we learn from our customer data about what transactional behaviors drive relationship profitability?
  • Are there differences in overall satisfaction among customers who use different channels more or less?


  • What can third party demographic data add to our understanding of our customers?

  • What kind of tools should we be using to generate insight?

  • With years of experience in linking transactional data to profitability, PNT can pinpoint the behavioral drivers of customer profitability.
  • PNT combines data from all available internal sources (transactional, service enrollment, financial and status history, survey data, demographics) for the most robust data mining possible.
  • We work with many vendors (D&B, Donnelley, Experian) to obtain the “best-fit” variables to support customer insight.
  • We can help with K-Means testing, Factor Analysis, Regression, Clustering, and other sophisticated data mining tools to uncover hidden patterns in your customer data.