Satisfying the high expectations of customers in banking and clients in wealth management means organizations need to adopt technologies that make them highly efficient, data driven and customer-centric. Learn more at IBM Insight 2015, or sign up for IBMGO to see live streams of highly essential
If you’re trying to pull together consumer data collected in disparate sources but are struggling to make sense of it all, then you’re long overdue for a strategy overhaul. At Insight 2015, learn how you can begin rethinking your own consumer data strategy.
No less than traditional scientists, data scientists need a guiding strategy for solving problems. Such a methodology should directly address the problem at hand and should provide a framework for obtaining answers and results. Learn more about the Foundational Methodology for Data Science and how
Bernard Marr, one of the world’s top experts in big data and analytics strategy, made a return visit to our podcast to explain his vision of "SMART big data, analytics and metrics."
You may be surprised to learn that he doesn't really like "big data." In fact, he says "the challenge is to build the
Nearly 10 years ago, a little open source software project with a funny name came into being. Over the past few years, that project, Hadoop, has taken the world by storm and has caused a sea change in both the software vendor marketplace and the way IT organizations think about their computing
By collecting data from all sources across the enterprise, including machine data, businesses can get deeper insight into customer behavior to personalize their experience.
Big Data Education
Big Data & Analytics Heroes
Kelly CarriganVice President, Data Warehouse and Infrastructure, Catalina Marketing
"Every day we’re able to personalize the consumer’s path to a purchase through mobile, online and in-store networks, including doing real-time scoring of a shopping basket at the supermarket checkout," says Kelly Carrigan, VP of data warehouse and infrastructure at Catalina Marketing, and this week
According to our research customers come second only to the C-suite in terms of the strategic influence they wield. When asked, “Who has the most influence on your strategic vision and business strategy?” 55 percent of interviewed CEOs cited customers. In our upcoming #CXO Twitter chat we discuss
Innovation and growth. Those are the first two responses given when IBM speaks to executives about their priorities in dealing with data. Organizations are facing challenges in managing the scope and large-scale transformations that they need to deal with rapid data expansion. This new reality
This week's Big Data & Analytics Hero, John Naduvathusseril, chief data architect for Nielsen Company, shares how we can flip the equation so that the challenge of big data becomes more of an opportunity for actionable insights.
Big data projects often involve exploring new business challenges and using new technology alongside existing applications. But who is doing this work? What skills and personalities are needed? Where should management of the big data "team" live, and is the team all in the same department or cross-