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
A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use
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
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.
To learn more about
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
When thinking about the big data use case of "getting a 360-degree view of the customer," remember this: "corporations are people too." That's the advice of Tom Deutsch, IBM big data program director. Getting a complete view of the entities within a corporation is far more complex than it is for an
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