Having been around the big data space for a number of years, you hear a lot of questions that revolve around “What do I do with this data that I’ve stored in Hadoop?’ or, more importantly, “How do I use this data that is now sitting here?” The fact is, there's a lot of hype surrounding big data,
Machine data is all around us: logs, sensors, GPS devices and meters to name a few. The enormous growth of machine data has become a major driver of big data solutions and a challenge for many organizations. The complex and diverse nature of machine data leaves many organizations unable to leverage
Sport is just a branch of the entertainment industry. As such, I don't expect that big data and analytics (a la Moneyball) will play a more decisive role in athletic competitions than they do in, say, determining whether Broadway actors exit stage right or stage left after the climactic scene.
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
IBM has introduced Smarter Risk, a new approach to enabling organizations to build trust and value amidst uncertainty. At The Evolving Role of Risk Forum April 9, IBM Business Analytics General Manager Alistair Rennie joined experts in risk management to share the latest thinking on this critical
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
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
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,
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
Bob Griffin, VP of IBM Industry Solutions discusses the deep impact fraudulent activities have on organizations and consumer confidence. He introduces a new counter fraud solution from IBM designed to help prevent and intercept attempted fraud, and employs advanced intelligence allowing
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 #
Last Wednesday, February 26, the Big Data & Analytics Hub, which is where you're reading this post right now, and Business Analytics software at IBM ran a Twitter chat entitled, “Innovations in Analytics" with special guest, Seth Grimes (@sethgrimes). Seth is a leading industry analyst covering