Big Data

The previous post did a somewhat comprehensive job of cataloging the issues and problems in financial services with data ingestion & flow management at large scale.  The need for a technology… …

A Brief (and highly simplified) History of Banking Data – Financial Services organizations are unique in their possessing the most diverse set of data for any industry vertical. Corporate IT organizations… …

“Dream no small dreams for they have no power to move the hearts of men.” — Goethe It is that time of the year again when the mavens at Gartner… …

This article is the final installment in a two part series that covers one of the most critical issues facing the financial industry – Investor & Market Integrity Protection via Global Market Surveillance. While… …

“From coast to coast, the FBI and Securities and Exchange Commission have ensnared people not only at hedge funds, but at technology and pharmaceutical companies, consulting and law firms, government… …

This final post in this three part series on Payment Card Fraud covers the evolving business landscape in countering Payment Card Fraud and will make specific recommendations from a best practices,… …

This article is the second installment in a three part series that covers one of the most critical issues facing the financial industry – Payment Card Fraud. While the first (and previous) post discussed… …

This article is the first installment in a three part series that covers one of the most critical issues facing the financial industry – Payment Card Fraud. Payment Cards include Credit, ATM & Debit… …

According to the US treasury – “Money laundering is the process of making illegally-gained proceeds (i.e. “dirty money”) appear legal (i.e. “clean”). Typically, it involves three steps: placement, layering and… …

Big data technologies led by Apache Hadoop can help financial services firms comply with a myriad of regulations, including US Anti-Money Laundering (AML) laws and requirements. In 2015, it goes… …