“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
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?”
Now that the hoopla surrounding the big data “Smart Sixteen” has subsided, let’s scrutinize the victor, Predict Customer Behavior, to understand why it dominated the other contenders as the top big data consideration. What key factors makes this big data initiative most appealing? Would it be the
Seattle Children’s Hospital is a demonstrated leader in innovative research and therapies for children, as shown below in just a few of their most recent announcements.
Seattle Children’s Research Institute, one of seven members of the Dream Team uniting researchers across the country in
Companies that insure our road vehicles request information including the driver’s age, gender (no longer legal in Europe), claims history and the ZIP or post code where the vehicle is parked at night. On this narrow data set, insurers construct an analytic model used to assess and price risk. A
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
Seattle Children's Hospital, one of the leading children's hospitals in the U.S., needed a solution to manage and extract valuable insights from vast amounts of complex data. Working with business partner Brightlight Consulting, Seattle Children's implemented the IBM PureData for Analytics solution
Join Stacy Leidwinger, Product Manager IBM Big Data for a discussion of way Big Data can deliver an enhanced 360 degree view of the customer. This is the second in our series examining popular use cases for Big Data.
In last month’s post, I talked about how cognitive computers, like IBM Watson, have the ability to do what the earliest underwriters did: approach each risk individually and, based on historical learning, apply reason and judgment to determine a rate. Cognitive computing allows insurers to analyze
Organizations in the petroleum industry are no strangers to large volumes of data. With the right technology solutions, these companies can move beyond traditional real-time monitoring to more agile real-time prediction. By rapidly analyzing incoming technical and business data—and applying that