Government organizations, funded by your tax dollars, require a wide range of physical assets to provide the services that we come to expect from the world's largest national economy.
Let’s start with some numbers.
There are 453,144 vehicles owned by the US federal government
Of those, the
Looking to harness the power of big data to drive new business models in the energy and utility industry?
Need to enhance operational delivery and define new approaches to distributed generation?
Attend the “How big data is changing the utility landscape” webinar from the Engerati Insight series on
In the extremely competitive automotive industry, leaders are looking for ways to differentiate their products by offering an improved driver experience.
One way to achieve this objective is to leverage the wealth of information coming from an increasingly instrumented world. Industry analysts
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
For consumer products manufacturers, big data analytics is fueling improved business outcomes by applying new analytics capabilities on a vast amount of data. This demonstration illustrates the value of Big Data capabilities to improve sales performance insight and collaboration with retail
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
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,
With access to vast and various data sources, media companies are striving to build closer relationships with their customers at a level where they can finally understand them as individuals. New big data and predictive analytics capabilities allow them to analyze customer and behavioral data –
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
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
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success:
1. Keeping the scope limited
2. Helping to measure the success of a solution that
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
Part 2 in a 3-part series: Big Data and Next Generation Banking – Leveraging information and mobile to drive revenue and expand the customer value proposition
In the first part of this series authored by Marc Andrews, we discussed some of the challenges that are causing banks to adapt their
The transition to a healthcare pay-for-performance model is driven by both regulatory and consumer factors. Let's dig into the key drivers and information needs that will be critical to harness and leverage to manage the challenges posed by this new model.
The key regulatory drivers include changes