Kent Collins, Database Solutions Architect of BNSF and this week’s Big Data Hero, tells us of the profound value of data to the railroad and shares that the “data services area is the cornerstone of the railroad.”
Kenneth Cukier, data editor at The Economist magazine and co-author of book Big Data: A Revolution That Will Transform How We Live, Work, and Think, is this week’s Big Data and Analytics Hero. Kenneth insists that “the strategy is not the answer, but the data is, in a constant feedback loop. The
With a lot of moving parts, CEVA was generating a lot of content. Pulling it all together provided flexibility and insight into the content CEVA already had. With IBM solutions, CEVA now has the data it needs to start driving key decision making for the future.
Make better business decisions with
Telecommunications companies are losing five percent of their revenue each year to fraud. Fraudsters are after free smartphones, long distance, premium services and confidential customer information resulting in $35 to $40 billion in losses from fraud worldwide.
Detecting and preventing fraud is
Big Data & Analytics Heroes
Farouk FerchichiChief Data Officer & Head of Business Intelligence at Toyota Financial Services
Farouk Ferchichi, chief data officer and head of business intelligence at Toyota Financial Service, and this week’s Big Data & Analytics Hero, shares insight into Toyota's journey to improve their customer experience by leveraging data and analytics.
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
Mark van Rijmenam, founder of Datafloq and this week’s Big Data and Analytics Hero, declares that “developing a big data strategy requires the organization to have a good understanding of what big data is, what it entails and what the different possibilities are.”
In part six of this series, we finished our exploration of the first of three key stages within the analytics lifecycle (Acquire) and suggested recommendations and practical actions for that stage. In part seven we will look at the study’s second key stage within the analytics lifecycle, Analyze,
IBM is empowering organizations of all sizes (and industries) through data and analytics. With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.
Applying big data technology to answer business questions is critical for organizations. Dr. Michael Kowolenko, Principal Research Scholar at North Carolina State University and this week’s Big Data Hero shares how big data helps businesses make better decisions and gain insight.