Data Analytics

“Silicon Valley is coming. There are hundreds of start-ups with a lot of brains and money working on various alternatives to traditional banking….the ones you read about most are in the…

The previous two posts have covered the business & strategic need for Wealth Management IT applications to reimagine themselves to support their clients. How is this to be accomplished and…

The first post in this three part series brought to the fore critical strategic trends in the Wealth & Asset Management (WM) space – the most lucrative portion of Banking. This…

The Wealth Management segment is a potential high growth business for any financial institution.  It is the highest customer touch segment of banking and is fosteres on long term and extremely lucrative advisory relationships. It is also the segment…

This is the final blogpost in our three part series on Enterprise Dataflow Management and it’s applicability in Financial Services. This post discusses common business drivers and usecases to a…

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…

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…