Doug Stephens (@RetailProphet) is one of the world’s foremost retail industry futurists and author of the groundbreaking book, The Retail Revival: Re-Imagining Business for the New Age of Consumerism. His work and thinking have influenced many of North America’s best-known retailers, agencies and
Edd Dumbill is VP Strategy at Silicon Valley Data Science and Editor-in-Chief of the peer-reviewed journal Big Data. He’s also an entrepreneur, author, software developer, and chair of Strata conference. formerly was principal analyst at O’Reilly Radar. In a recent article titled “Big Data is
"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role.
For more information about the IBM big data platform and products, visit
When organizations don't have trust in their data, they don't act upon it. With more companies looking to use big data to get richer insights, the question of "Can I trust these data?" arises more frequently. David Corrigan, director of product marketing for IBM InfoSphere, talks about how good
"Data warehouse augmentation" is one of the top five business use cases for big data. Its purpose is to extend the value of existing data warehouses. Christy Maver, IBM big data product marketing manager, explains how data warehouse augmentation can help lower costs, provide the ability to perform
Security intelligence with big data is the ability to lower risk, detect fraud and monitor cyber security in real time. Organizations can augment and enhance cyber security and intelligence analysis platforms with big data technologies to process and analyze new types (e.g. social media, emails,
On a conference call hosted by IBM Information Management General Manager Bob Picciano, over 1000 participants listened to a Q and A led by IBM Vice President Martin J. Wildberger with Kent Collins, database solutions architect, of BNSF Railway. An early tester of DB2 BLU, Kent calls the BLU
Marcus Hearne, predictive and business intelligence marketing manager, talks about changes to his daily coffee order, "bleeding data," and what those pieces of data means to a predictive analytics geek.
For more information about the IBM big data platform and products, visit www.ibm.com/bigdata
Shep Hyken is a customer experience expert and the Chief Amazement Officer of Shepard Presentations. He is a New York Times and Wall Street Journal bestselling author and has been inducted into the National Speakers Association Hall of Fame for lifetime achievement in the speaking profession. Shep
Operations analysis, one of the top five use cases for big data, is about analyzing a variety of machine data to get improved business results. The key is combining machine and business data, which allows you to put insight right into the hands of the operational decision maker. In this podcast,
The IBM Institute for Business Value (IBV) is embarking on its fourth annual survey on analytics and big data. Rebecca Shockley, Global Research Lead at IBV, gave a preview of the objectives for the 2013 survey. She explained they will be looking into how organizations are executing and what it
Diego Saenz, the founder of Data Driven CEO, has over 20 years of experience as a management consultant, corporate executive and entrepreneur. In his current role, he provides Big Data Analytics consulting, speaking and training. He talked with us on the topic “Can Big Data Stem Churn?”
Chief marketing officers are evolving to bring creative- and data-driven marketing and advertising together in order to deliver relevance to consumers and discover deeper insight into audiences. In this podcast, Graeme Noseworthy explains the top issues that CMOs reported in a research study they
Data Exploration is one of the top five business use cases for big data. Stacy Leidwinger, product marketing manager for IBM Data Explorer, describes the challenges that many organizations face, and the four key steps they should take when beginning a data exploration project.
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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. What advantage does this provide to marketers and advertisers? If marketers need data-driven audience