Twas the night before "big data," when all through the data center Not an IT supervisor was stirring, not even the help desk on-call. The servers where all humming along nicely in hopes Big data would soon be there. The business users were nestled all snug in their offices
Industry-changing dynamics like mobility, smart products, social media and embedded computing put a premium on big data and the insights you can gain from organizational data. As a result, the opportunity to be disruptive with analytics has never been greater. Yet, when it comes to making analytics work, not all organizations
In the first two posts in this series, Seeing the Light: How SMBs are Using Data and Insights to Get Ahead, I shared the motivations that prompted three SMBs to replace spreadsheets and intuition with a more sophisticated, analytics-driven approach to run their businesses. In the second, I discussed the
Did you ever experience a time where you hear or see the same thing over and over again? Whether you chalk it up to coincidence, immersion or saturation, you clearly start seeing the same ideas or topics discussed in multiple places. Lately, I have been hearing about the topic of
Fraud detection presents myriad analytical challenges: gathering sufficient known cases to make typical modeling techniques possible, gathering inputs from disparate data sources, and combining expert knowledge from investigators with findings to be gleaned from the data in an efficient way. Of course, analysts can fall into the trap of thinking
I've recently had the chance to work with Olivia Parr-Rud, an internationally recognized expert and thought leader in predictive analytics and innovative leadership. Her pioneering techniques in predictive modeling led to the writing of her first book, Data Mining Cookbook, Modeling for Acquisition, Risk and Customer Relationship Management (Wiley 2001). Olivia's passion
Are you always looking for that inside perspective? Most of us are! As we all know, customers are the primary – perhaps exclusive – source of cash flow for many organizations. Knowing which ones are most profitable is critical to maximizing future economic value. To help today's marketing and business leaders learn
For all of you who have ever been to Heidelberg, location of the headquarters of SAS Germany and the place where I live, you might know that a town called Mannheim is nearby. Some might even know that Mannheim is the place where a genius German engineer called Carl Benz
A recent post on the International Institute for Analytics (IIA) site, Analytics Conferences Gone Wild!, is*not* about how statisticians are sexy. Yes, I'm recalling that memorable quote in the August 2009 NY Times story, "For Today’s Graduate, Just One Word: Statistics,” which included the following quote: “I keep saying that
Dr. Yachen Lin, Chief Risk Officer of China Guangfa Bank Credit Card Center (CGB), was interviewed while at the 2011 Premier Business Leadership Series in Singapore. He discussed the analytics culture at CGB - explaining how CGB uses analytics to know its customers and manage risk. There are only 14
