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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It is my privilege to support government sector marketing for IBM. We live in a complex and sometimes dangerous world with growing threats to public safety, national security and the environment. We expect more and more from our governments and at the same time, there are significant economic and
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
Common themes of many big data success stories are the imperative to analyze data in motion (generated by customers, instrumented devices and sensors), and to combine these newly acquired data with one or more historic data sets. Correlation and predictive analytics help us understand now in
Big data is already being collected by many government organizations— and new data is being generated at rapidly accelerating rates. The ability to perform analytics on big data enables government organizations to improve existing processes and operations, and engage in entirely new types of
Almost my whole working life has been spent in the insurance industry, and in the early days, we thought we were being ‘cutting edge’ when using fax and telex. Now, after 30 years, the insurance sector is sitting in the centre of a new industrial revolution called ‘analytics’.
“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
This morning I read this post on Toolbox
Self-Service Business Intelligence is…
- A win-win for IT and business professionals
- A trend that could possibly threaten some IT professionals’ livelihoods
- A disaster waiting to happen…sounds like a reporting nightmare
What do you think and
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-
Healthcare involves several domains of data, including patient/person, provider, insurance and reference data. Outside of healthcare, the patient/person domain would be called customer, and in a real sense, the healthcare patient is a customer of the payer or the healthcare provider. Increasingly,
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
What if insurance companies could simultaneously improve customer satisfaction, retain valuable policyholders and maximize cross- and up-sell opportunities?
To achieve these goals, insurers need ways to anticipate customer needs and determine the next best action for each individual customer.