Insurers investing in the science of data and analytical capabilities can now monetize their data with greater certainty, creating value by customizing one-on-one policyholder interactions and personalized offers that quickly service their requests. Read the story that data can tell for insurance
Many banks have data in their organizations right now that they're not monetizing. Analyzing customer interaction data will drive new revenue and improve customer retention. Read how IBM clients are analyzing call center interactions, web visits, chats and social data to better understand what
Service quality, product quality and customer experience are all intertwined as companies push to gain and maintain market supremacy. Given the number of channels and the amount of data companies have to navigate, maintaining quality levels have become even more challenging. In fact, “just 7
Remember the olden days when journalism meant reporting facts and keeping one's analysis laser-focused on those facts? I sure do. In fact, I once earned a master's degree in journalism. At that time, I thought that my future career might hinge on providing in-depth analysis of fresh data being
Donovan Neale-May, executive director of the CMO Council, said: “There is no point in wasting marketing resources on seducing customers with offers, incentives and captivating branding if there is a big disconnect on the product, business policy or service experience side.” How do marketers
If you caught the IBM announcement on January 9 on the formation of the IBM Watson Group you may have seen mention of IBM Watson Explorer. If you are familiar with IBM InfoSphere Data Explorer (the product that IBM added to its portfolio with the acquisition of Vivisimo, Inc., in May 2012) this
A living subject domain is conceptual territory that must be scouted continually. Even if you're long familiar with the domain's heartland (from study, reading, work history, the School of Hard Knocks or other firsthand experience) a subject's frontiers may have shifted while you weren't paying
I asked this question of Mark Ramsey, chief data officer at Samsung Mobile. I know what comes to mind when I think of data is data strategy, data quality, data integration, governance and data infrastructure. Being from the technology industry, and IBM in specific, data and analytics are two
The reality is all organizations have streaming data sources they can mine for insight. Do you have a website Are you interested in becoming more social? Do you have mobile business plan? If yes, then you have a need for real-time analytics.
It would be nice to have a crisp algorithm to pick and choose among potential big-data applications. But there isn't one.
What enterprises have instead are plenty of handy heuristics ("rules of thumb") to help prioritize among potential applications, based on factors such as business impact,
A standing room only crowd of invited guests converged at the New York Palace hotel on Thursday to listen to experts from government, insurance, healthcare and banking talk about one thing: countering fraud.
For many, Hadoop is synonymous with big data and its Vs, often closely linked to analytics. Businesses are then trying to understand what solution is best for them. Is it Hadoop,analytics, both? In our next #BigDataMgmt Twitter chat, March 26th 12 ET we will discuss how Hadoop and analytics play
Criminal activity is rampant, and the brash sophistication of recent attacks—as well as the magnitude of damage— is making fraud a top priority. Consumers are concerned about their privacy and security., government agencies are working out how to address the volume of improper payments and claims
It has been shown that "42 percent of customers who use social media for customer service expect to receive a response within an hour and 67 percent expect same day answers.” How do organizations keep up with customers demands? And where does real time fit into the customer experience? Join the #