The 14 Principles of BCBS 239

One of the key lessons learned from the financial crisis of 2008 was that banks’ information technology (IT) and data architectures were truly inadequate to support the broad management of financial risks. Many banks lacked the ability to aggregate risk exposures and identify concentrations quickly and accurately at the bank group level, across lines of business and between legal entities. Several were unable to manage their risks properly because of weak risk data aggregation capabilities and risk reporting practices. In the end, it led to severe consequences for the banks and, unfortunately, the global financial system as a whole Continue reading The 14 Principles of BCBS 239

What Deflategate can teach us about big data collaboration

In case you missed it, last week was an interesting one for data science. A story called Ballghazi or Deflategate loomed over the Super Bowl, bringing accusations of cheating – systematic cheating, even – over a long period of time. The good news? The game was close. In fact, many are calling it the best ever.

Accusations of cheating will probably fade quickly. What shouldn’t, though, is the lively discussion around statistics, anomalies, and causation that followed. Today, we are talking football. Tomorrow, you may be having a similar discussion about your business. Hopefully in a less public forum.

Hopefully. Continue reading What Deflategate can teach us about big data collaboration