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,
In our Friday Data Flick series this week, we look at how companies are achieving an “enhanced 360-degree view of the customer,” which is another of the top five uses for big data (also called “use cases”). In less than 15 minutes, you can watch these two videos and walk away with a thorough
Mandy Chessell, IBM distinguished engineer and master inventor, describes the big data use case "enhanced 360-degree view of the customer" and how it can be used to help companies understand:
Who their customers and prospects are
What the customers are interested in buying
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
Part 2 in a 3-part series: Big Data and Next Generation Banking – Leveraging information and mobile to drive revenue and expand the customer value proposition
In the first part of this series authored by Marc Andrews, we discussed some of the challenges that are causing banks to adapt their
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