Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture
Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and
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
"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
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,
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?”
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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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
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
In this “Talking Big Data” podcast, IBM's program director of the Big Data Portfolio, Tom Deutsch, speaks with IBM's social media lead for big data, David Pittman, on his encounters with IBM customers engaged in big data initiatives.
Welcome to part 2 of Delaney Turner's interview with IBM Champions Alex Philp, Founder and CTO of TerraEchos and Ivo-Paul Tummers, CEO of Jibes. In part 1, they explored strategies and algorithms these innovators are using to transform volume, variety and velocity into business value for their
There's more to a big data strategy than the data itself. Listen as two IBM Champions talk about the methodologies, algorithms and technologies they use to transform volume, variety and velocity into business value for their clients.