There has been a lot of talk lately about big data and business intelligence. While some worry that big data has slowed the growth of business intelligence spending, there’s a natural play for the two to come together. The deep analytics on the big data side, combined with the structured analysis
As I was still contemplating how after hitting such a great drive, that my subsequent approach shot missed the green, my playing partner reminded me how almost every time I had a GIR, I made a par or better. It occurred to me that while I may not have wanted to hear it, I could not deny that the
What happens when you can analyze data at the speed of thought? The possibilities are nearly endless. When you can look at data on the fly – and analyze it – you can dig deeper. You can follow ideas, or investigate whether data supports a new hypothesis.
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Insurers have relied on black box solutions for Telematics to date. This blog entry will examine the use of SmartPhones as an alternative to the black box and how it may benefit both the Insurer and the Consumer.
The cost of entry into the Telematics market for Insurers has been high to date,
CMOs are enhancing their abilities to contribute not only to the marketing of new products, but also in their development, design, sale and support. These are all data-centric functions that are working together, today to drive business success.
Customers often say to me, “I have tons of data already. Why do I need more data?”
It’s a fair question. Your organization may have spent millions already on storing and analyzing data. Hadoop is reducing the cost of doing this, prompting technology budgets to shift the focus of their investment.
In today’s world of the connected customer, most business-to-business organizations have advanced contact centers. The goal is to ensure that they are ready to handle any inquiry, concern or opportunity to acquire, grow and retain customers. They also understand that with every client-facing
This is the second in a series presenting the findings from the IBM Institute for Business Value and University of Oxford’s Big Data study and excerpts from the white paper, “Analytics: the real world use of big data in financial services.”
When asked to rank their top three objectives for big data
If you’ve ever spent more than 15 minutes with me you know I’m a huge recreational fisherman and compete in many tournaments each year. I routinely perform maintenance on my equipment: boats, rods, reels, knots, lures, hooks, electronics, etc. But despite my efforts, poor maintenance cost me $5,
Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library - more than 40 items - from
This past weekend, as the United States of America celebrated its 237th birthday, I bonded with some of my closest companions – family, friends, music, assorted drinks, and junk food for most of the weekend. Though, one unwelcome friend was the massive heat wave that blanketed most of the US.
Co-authored by Kim Minor, Worldwide Industry Marketing Manager for Insurance at IBM.
Claims fraud is an important topic, so we’ve written about it several times before. In this blog, I want to discuss how IBM big data capabilities can augment an existing fraud system at any insurer. By wrapping
The top 10 blogs from the first half of 2013 show you are interested in learning how to get started with big data – especially if you’re in the banking industry – and looking at just what it is that gives a data scientist that elusive star power. It’s also clear that good blog posts have long legs
We’re continuing our look at the most popular content on IBM Big Data Hub for the first half of 2013. Here are the most-watched videos.
Big Data, Big Opportunities for Communications Service Providers
Big Data, Big Opportunities: Energy & Utilities
T-Mobile: Network Engineering Success
With one half of 2013 behind us, let’s take a look at what has been on the top of your mind over those six months. All week long, we will be reviewing the most read, most watched and most listened to content on IBM Big Data Hub. Today, we’ll look at the top 10 most popular podcasts.
Top 5 Big