Rethink Your Org Chart for Big Data Analytics Teams

by   |    November 6, 2012

Understand the difference between a traditional analytics team and one that’s set up to exploit big data by comparing bank tellers to orchestra musicians. Traditional teams are the tellers, taking users requests and handing out results. Orchestras employ a core group of musicians, but the conductor has to assemble teams to play a different pieces. The results depend on the musicians’ skills, knowledge and experience working together. Read More…

Romney and Obama

Two Very Different Predictive Models for the Presidential Election

by   |    November 5, 2012

Business analysts would do well to pay attention to the scrutiny that election prediction models engender. While the readouts from a customer analytics project won’t rival the passions generated by a close contest for the White House, there are two important takeaways from the political fray. First, the audience for your predictions needs to understand the terms you use to communicate your findings. Second, you need to be ready to defend your model against loud criticism. Read More…

Von McConnell of Sprint at IBM info on Demand

Sprint and New York Stock Exchange Look to Turn Analytics Expertise into Data Products and Services

by   |    October 28, 2012

Executives at Sprint and the New York Stock Exchange are looking at turning the in-house expertise they have developed in big data analytics into offerings they can sell to other businesses. While Sprint’s Von McConnell, pictured at left, said his R&D team of data scientists is still in the early stages of exploring this opportunity, there are already signs that business customers of the telco would find insights into consumer behavior trends valuable. Read More…

Medical clinic photo by Army Medicine via Flickr

IBM Makes New Health Care Push with Predictive Analytics, Process Management

by   |    October 23, 2012

There’s a lot of room for improving the health care system, from patient outcomes to inconsistent business processes and cost structures. IBM introduced an offering to address all of these issues using process management expertise, predictive analytics and natural language processing technology from the Watson system made famous on the Jeopardy TV game show. Read More…

Hurdling image by Rodrigo Moraes via Wikipedia

Business Problems Suited to Big Data Analytics

by   |    October 18, 2012

Enterprises need clear processes for determining the value proposition of a big data analytics project. In this article, David Loshin examines the applications that make sense for these projects and the criteria that enterprises should use to weigh the costs and benefits of such a strategic investment. Read More…