Insurers increasingly rely on high-performance analytics to predict future behavior and determine product pricing, as it processes the growing volumes of data faster than traditional approaches. Read more in this article.
“I saw really quickly that due to all the information within the company, there would be no future unless we leveraged the high-performance of both holding that data as well as doing the analytics on it,” says Shawn Hushman, Vice President of Enterprise Analytics, Kelley Blue Book. Hear more in the interview.
Real-time, instant processing of information is a critical component of high-performance analytics to make sense of big data. Another important aspect is keeping your models fresh. Read an example of how Yahoo! used this approach to display relevant ads to a targeted set of visitors.
Inventory allocation decisions are all too critical for retailers and manufacturers because making the wrong ones can absolutely impair customer satisfaction. These organizations can get a handle on those decisions through high-performance analytics that will factor in point-of-sale (POS) data – in addition to historical information.
Revenue optimization for an extraordinary amount of hotel and casino data is possible in near real time with high-performance analytics. Check out this example.
I’m looking forward to attending Predictive Analytics World in San Francisco in a week or so. I’ll blog a few presentations and interview analytics experts and SAS customers to get their stories of analytics, in front of quite a unique SAS booth.
High-performance analytics (HPA) can speed the development of personalized medicine to drive individualized treatments. This excerpt details more about how HPA better predicts and manages health outcomes.
Imagine a world where every customer interaction can be based on optimizing the price of new products in a way that increases retention, grows revenue and improves the bank’s profits – while providing optimal customer experience. It’s possible with high-performance analytics. Read this article for more.
“Only predictive analytics like forecasting and optimization will bring you out of the past and into the future,” says Jim Davis, Senior Vice President and Chief Marketing Officer for SAS. He talks more about the “big data” hype cycle in this article.
It’s true. “Big data” can be a problem and an opportunity. Many organizations have struggled to manage, much less profit from, the deluge.