Pitney Bowes
120 Case Studies
A Pitney Bowes Case Study
Large Global Financial Services Firm — a broker/dealer with thousands of advisors and millions of client accounts — faced an 18‑month FinCEN review after suspicious activity by an offshore employee revealed gaps in its transaction monitoring. The firm needed to supplement its rule‑based external AML system with a flexible capability to detect problematic relationships and insider behaviors. It engaged Pitney Bowes and deployed Pitney Bowes Spectrum Entity Resolution (built on the Spectrum Technology Platform) to address these needs.
Pitney Bowes resolved data‑quality issues, implemented Spectrum as a name/address matching engine and built a knowledge graph that links every individual to related accounts, advisors and counterparties. Using the Spectrum Data Hub graph and algorithmic baselining, the solution flags behavioral outliers, reduces false positives, and makes alert investigations much faster. Pitney Bowes’ implementation gave the firm a holistic view of relationships and automated alerts whenever an individual’s activity deviates from peer norms.
Large Global Financial Services Firm