It was a wild weekend of mammoth matchups between formidable technology titans in the Smart Sixteen Big Data Challenge! With the field narrowed to the Elite 8, questions still abounded.
Would Predicting Customer Behavior be able to break the cool-under-pressure Improve Campaign Effectiveness to
Quality-of-service (QoS) is one of the most paradoxical metrics in the telecommunications industry. “Quality” of the customer experience is normally measured through surveys and logged feedback, but plenty of data can lead to good quantitative measures.
The field for the Elite 8 from the "Big Data Smart Sixteen" is set! In the Marketing region, Faster Reporting & Analytics’ star player faltered against the unselfish play and sharing of deeper customer insight of Predicting Customer Behavior (PCB). Paired with the energy and cheers from their
Big data bracketologists are busily selecting their top picks and priorities for the "Smart Sixteen" Big Data Management Tournament. What's most important to Marketing, IT, Finance and Infrastructure? Which business challenge will come out on top? Make your picks today!
Insurance companies are looking to accelerate the speed and increase the precision of catastrophe modeling, the process through which companies determine the exposure of current policies and the probable maximum loss (PML) from a catastrophic event. Catastrophe modeling is vital for setting policy
Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For