Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. Within IBM, big data spans four dimensions: volume, velocity, variety and veracity. At The Big Data Institute (TBDI), big
Just like the technology made available 100 years ago to discover oil and process it into consumable products, big data technology is still in the early stages of transforming and revolutionizing the way enterprises consume and use data more effectively to market and drive their businesses.
Big Data Bytes is a videochat where we look at some of the hot articles, blog posts, and social chatter about topics related to big data. For Friday, May 31, 2013, our special guest was Richard Lee (@InfoMgmtExec), Managing Partner of the consultancy, IMECS, LLC, and frequent speaker on issues
As industry marketing manager for Communications, I want to share with you highlights of the 2012 Big Data@Work Study covered in the executive report: Analytics: Real-world use of big data in telecommunications. The study and report, from the IBM Institute for Business Value (IBV) and Saïd Business
A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use
Telecommunications providers have evolved into broadband carriers of all types of digitized media and entertainment. Carriers play this pivotal role by dint of their continuing to offer the underlying broadband, cellular, and landline infrastructures on which all digitized media ride.
If, like me,
Motor insurance policies are traditionally priced on forecast risk - using rating factors such as number of miles you might drive, where you live, your age, the engine size and what you will use the car for - customers then pay a premium based on these values - however the introduction of
IBM software and expertise analyzes more than 41 million data points to determine the top three "Keys to the Match" for Grand Slam tennis tournaments. That same predictive analytics technology is used every day by leading organizations to solve their most pressing business challenges.
Retailers, it’s time to rethink loyalty programs; big data brings new ideas to light
I have worked for years on retail Point-of-Sale (POS) projects since the mid-’90s. I remember the early days of enabling loyalty card tracking and pushing out “buy-one, get-one” (BOGO) and various other discounts
When was the last time that you looked at one thing? Just one thing, nothing else? We seldom look at just one thing, but rather look at ‘a thing’ in terms of its relationship with ourselves and with everything around us and it. Even in looking at a photograph, don’t we also think of the photograph
Solutions for analyzing big data can play a critical role in addressing the increasing prevalence of claims fraud. Traditionally, fraud is estimated to account for approximately 10 percent of insurance company losses, and that percentage is rising. Insurance companies need ways to quickly
Big data is not just about scaling your data analytics processing platforms to keep up with the onslaught of new information. Just as important, big data is about bringing together your best and brightest minds—your data scientists—and giving them the tools they need to interactively and
The petroleum industry is no stranger to large volumes of data. Operating in arguably the original sensor-based industry, oil and gas companies have for decades used tens of thousands of data-collecting sensors installed in subsurface wells and surface facilities to provide continuous, real-time