To better handle exponential growth in patient data, the healthcare organization Fletcher Allen turned to IBM Netezza and PureData for their solution. This allowed them to put refined analytic information in the hands of more medical practitioners to improve the quality of care.
Animation: This use case looks at how savvy retailers can use big data - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time
All too often, CMOs underestimate the importance of targeted advertising in the value chain and, worse, consumers think it’s an invasive breech of privacy. The truth is far less dramatic. Sophisticated ad targeting through big data analytics creates a win-win situation for both advertisers and
Sophisticated ad targeting creates a win-win situation for both advertisers and consumers when the effective use of highly relevant messages and offers become personalized for the individual. Krishnan Parasuraman and Graeme Noseworthy from IBM explore this topic and discuss the common
Technology in the energy and utilities industry is becoming increasingly advanced, including that of smart meters and smart grids. Although the evolution of these technologies provides companies with tremendous business insight, they also generate unprecedented data volume, speed and complexity.
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing
Did you resolve to learn more about big data in 2013? Boost your learning by checking out some new resources you may have missed on IBM Data Magazine. Some of our very own Big Data Hub authors have published pieces on big data topics and solutions.
Claims fraud is a serious issue for insurance companies. Estimates are 10%-20% of claims are fraudulent. That costs the companies major money, and in turn, it causes costs to rise for consumers. Kim Minor, insurance industry marketing manager at IBM, explains how leading insurance companies are
While “a single version of the truth” might sound reassuring, relying on such a strategy can seriously impede real-time businesses. For many missions, it’s time to embrace a plural version of the truth.
The customer-driven movement is getting stronger and stronger, and it’s about more than service—it’s about the experience you provide. The customer has indeed become the king for retailers, and smart retailers are using big data analytics to offer customized and personalized services and product.
Audience Measurement is experiencing dramatic change from a focus on the channel to a focus on the individual as marketers and advertisers work to understand the 360 degree view of the customer. Nancy Notaro and Graeme Noseworthy from IBM explore this topic as it relates to today's big data driven