Michele Chambers, co-author of "Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Business," talks about the market and technology factors that make now the prime time for big data analytics.
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
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
The IBM Institute for Business Value and the Saïd Business School at the University of Oxford conducted a global survey of more than 1100 business and IT executives. The resulting quantitative study, "Analytics: The real-world use of big data," examines the journey that organizations are taking to
Based on his recent blog post, “Why Static Stinks,” Tom Deutsch, program director of IBM big data portfolio, further explains why non-personal recommendations – or “static” – are bad. Deutsch states that it is important to understand not only the trends of consumers, but who they are as people,
Big data is a set of technologies that need to be integrated with each other and with enterprise capabilities, meaning business processes, applications, relational databases and more. David Corrigan, director of product marketing for InfoSphere, explains IBM’s big data platform.