Case Study: Leading Human Capital Management Provider monetizes customer data with Pitney Bowes Spectrum Geocoding for Big Data

Global HCM leader adopts geocoding to help monetize customer data

Leading Human Capital Management Providing Company collects massive payroll, benefits and tax data and wanted to monetize that information by adding precise geographic intelligence. Early attempts at geocoding suffered from poor accuracy, limited scalability and a slow, unwieldy stand‑alone process, so the company engaged Pitney Bowes and its Spectrum Geocoding for Big Data capability to improve match rates and enable location-based analytics.

Pitney Bowes ran a proof of concept processing several million records with Spectrum Geocoding for Big Data, then embedded the solution into the company’s Apache Hadoop environment with Pitney Bowes Professional Services; implementation took less than a day. The solution produced high match rates and cleaner addresses, assigned persistent pbKey identifiers for easy lookups, simplified deployment by avoiding ETL, and enabled the HCM provider to launch new products that combine trend data with geocoding — converting its data into several high‑value revenue streams.