Pasha Roberts will present at PAW San Francisco on this case study. A call center for a global financial firm had a problem – attrition. In order for a new employee to even be permitted to speak with a single customer, the new representative had to go through 12 weeks of expensive training and pass
Prediction need no longer be viewed as a dark art, as the ability to more accurately predict price activity becomes a reality. Aside from predictive text, which can be both a blessing and a curse, and the...
See also the very-similarly entitled prior article the Predictive Analytics Times executive editor Eric Siegel, “The Greatest Power of Big Data: Predictive Analytics.“ There’s hardly an article, news story, webinar, or whitepaper these days that talks about...
When you turn on the lights, turn up the air conditioning or plug in an electric vehicle, it generates data. As the push for smarter infrastructure puts pressure on energy professionals to innovate their business models, they...
A deep understanding of customer behavior and what makes them “tick” is key to good marketing. Understanding purchasing behavior allows retailers to optimize their marketing campaigns, improve customer experiences, and enhance retention and loyalty. Recent studies have...
A survey of North American insurance professionals reveals widespread use of predictive analytics in the property/casualty insurance industry, with as many as 82 percent responding that they use predictive modeling in one or more lines. Earnix, a...
The Obama campaign’s Daniel Porter will be presenting on his work with uplift modeling at PAW San Francisco (March 2014) and PAW Chicago (June 2014). Watch the interview with the Obama campaign’s Daniel Porter. How uplift modeling...
As buyer behavior is in a constant state of flux, understanding customers can feel as overwhelming as understanding the opposite sex. While there is no “Businesses Are From Mars, Customers Are From Venus” book to simplify everything,...
The economic changes of the past five years have had a major impact on the collections industry. Collectors traditionally viewed customers in black-and-white classifications of having either “good credit” or “bad credit.” As the economy declined, the...
