This week’s Friday Data Flick gives you insight into “operations analysis,” which is one of the top five uses (also called “use cases”) for big data. Operations analysis is about analyzing a variety of machine data to get improved business results. The key is combining machine and business data,
Dr. Michael Kowolenko, Principal Research Scholar, shares how North Carolina State University helps businesses make better decisions and gain insight using IBM big data solutions.
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Join Vijay Ramaiah, product manager for IBM big data, as he discusses the new class of big data applications that are delivering new operational insights by analyzing huge volumes of machine data. This is the third in our series examining popular use cases for big data.
For more examples of
Nielsen used the IBM PureData System for Analytics system to run complex analytical workloads on-demand and on massive amounts of data. With up to 10x faster concurrency, IBM PureData System for Analytics provided Nielsen Company the simplicity and performance needed to deliver speed of-thought
In my previous two blogs [here and here], I’ve talked about how cognitive computing and big data present the insurance industry with great opportunities and some challenges. To develop strategies that capitalize on the potential gold mine of information that big data represents, many carriers will
Next week, thousands of telecommunications professionals will gather in Nice, France for the annual TM Forum. The top talk is about navigating the “digital storm” that is sweeping the industry.
Storms are full of power and they can be disruptive. At IBM, we see the data storm as a fury of untapped
Across industries, companies are finding that a critical factor in their success is the ability to analyze massive amounts of data in near real time. Telecommunications is one of the leading industries that not only creates a lot of data but is also tasked with understanding customer behavior and
You like videos and we like making them for you. This week, for our Friday Data Flick feature, we bring you three new videos: two that help you understand more about the top uses for big data and one that takes an in-depth look at Hadoop as a data warehouse.
Top Big Data Use Cases Explained
Bob Hayes, chief customer officer of TCE Labs and president of Business Over Broadway, interviewed Mark Myers, IBM big data product marketing manager, about how big data can provide an enhanced 360-degree view of the customer. This is one of the top 5 use cases for big data.
To learn about the
Eric Sall, vice president of product marketing for IBM's Information Management Group, joins Wikibon analysts Dave Vellante and Jeff Kelly to discuss real-world big data use cases:
Big Data Exploration
Enhanced 360-degree View of the Customer
“Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011. Applied to the estimated 2011 Gross World Product, this figure translates to a
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,
Consumer products companies traditionally have had a wealth of information at their disposal from gathering large volumes of data about the manufacturing, logistics, and the sale and promotion of their products. Today's digitized shopping experience has put consumers in the catbird seat with up-to-
For consumer products (CP) manufacturers big data analytics are fueling improved business outcomes by applying new analytics capabilities on more data than ever before. This demonstration illustrates the value of big data for marketing performance visibility critical to gauge the success of a new