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Privacy Analytics De-Identifies Personal Data to Aid Health Care Researchers

by   |   November 21, 2012   |   1 Comment

Privacy Analytics, a privacy software company based in Ottawa, Ontario, is at the forefront of an emerging industry built around the growing need to de-identify large troves of personal data for the purposes of analysis. The company’s focus now is on health care, but the company’s technology is equally applicable to financial and insurance industries. Read More…

Achieving Organizational Alignment for Big Data Analytics

by   |   November 20, 2012   |   Leave a comment

Numerous aspects of big data analytics hold appeal, and while individuals within an organization can “test drive” them, these new technologies need to win adoption in a broader enterprise setting. Managers need to answer: What is the process for piloting technologies to determine their feasibility and business value? And: What must happen to bring big data analytics into organization’s system development lifecycle? Read More…

Rethink Your Org Chart for Big Data Analytics Teams

by   |   November 6, 2012   |   Leave a comment

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   |   Leave a comment

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…

Medical clinic photo by Army Medicine via Flickr

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

by   |   October 23, 2012   |   Leave a comment

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…