Big Data need not link measurements to an individual (and that’s ok!)

Healthcare organizations in North America have been cautioning the public of the early onset of the flu season. In December the number of laboratory confirmed cases were up 3x over the same time the previous season and as of January 5, 40 deaths have been attributed to the flu in this province. Google Flutrends has been charting this for a while already and the spike is alarming. Noteworthy that the…

When the Sopranos met Big Data (and lost)

Some of the pre-Glee generation may remember the hit HBO series ‘the Sopranos’. I recently came across this clip and it cracked me up. It shows a couple of thugs who try to shake down a Starbucks-like coffee outlet, only to hit the wall. The “little guy” being driven out of business is the local goon. Was David Chase prescient or what? [Caution: Clip contains crude language which may be…

Five reasons that Big Data initiatives go wrong

Gartner’s 2012 hype cycle is not optimistic on Big Data*. The technology is shown as near the “peak of inflated expectations” just about to go over the cliff into the “trough of disillusionment”. The bubble seems ready to pop when the skepticism is so commonplace and the warnings so dire. Even so… this is as yet a young technology and it is difficult to predict its trajectory. I will however list the five…

Preventing shrinkage and reducing logistics risk with telematics

This time of the year, thoughts turn to gifts and gift giving. Usually it involves something expensive – and often it involves shipping to someone far away. That’s where it gets tricky. Remember the viral video of the Fedex guy tossing the computer monitor. That guy may have been the exception, but do we really know what happens behind the scenes? And that’s why we did this experiment. To capture,…

Analytical Maturity Model for Marketing Processes

The marketing process maturity model presented below identifies the practices that distinguish laggards from leaders like Amazon.com, Netflix, Harrah’s Entertainment and Proctor & Gamble who are using data to continuously hone their strategy and beat the competition. The summary chart below represents the five stages in analytical maturity and the curve running through the graph represents the evolution path to achieving the Level 5 Optimized maturity stage. Click on the…

Things to consider when fighting collusion fraud

Editor’s note: An abridged version of this article appeared as a web exclusive in Claims Magazine (http://claimsmag.com) on Oct 11, 2009. North American companies have developed sophisticated processes and technology to detect claims fraud. There are a variety of analytical techniques to use against claims data, such as automated red flags, predictive modeling, rules based analysis, data mining and others. At the most basic level, companies use decision rules to…

Four Things You Need to Do to Cut Fraud

Retail fraud is inevitable when transactions are conducted remotely and rely on each party trusting the other to carry through on their commitments for the transaction. Unfortunately with the growth in e-commerce and mobile commerce, the problem is getting worse. Businesses as diverse as Ice.com, Expedia and Footlocker have reported growing magnitude of friendly fraud chargebacks. Online insurance companies are exposed to misrepresentation fraud or even money launderingthrough their web…