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Alison Bolen 1
Big data answers for your industry and your role

Are you still struggling to understand what "big data" means to you or your industry? Or maybe you get it, but you want your boss to understand the opportunities, and you're not sure how to explain it clearly. Look no further. I've categorized some of our most popular recent big

Mike Nemecek 0
An analytics Golden Age

During the Dutch Golden Age (spanning the 17th century), artists like Vermeer, Jan Steen and Rembrandt produced amazing scenes of everyday life, realistic portraits, and moody landscapes infused with shadows and light. Through their skilled use of paint and brush, these “Dutch Masters” provided new ways of looking at the

Analytics
Georgia Mariani 0
Best practice #5: Optimize reporting processes

We are half way through my blog series counting to 10 best practices for information management, reporting and analytics. To recap, we have learned the importance of: Securing executive sponsorship. Identifying and involving stakeholders early and assessing their unique needs. Identifying and integrating data sources. Managing user expectations proactively. This

Anna Brown 0
How to visualize before you model big data

"Nobody knows analytics the way SAS does," said SAS CEO Jim Goodnight in my recent interview with him. He also explained the significance of being able to visualize and explore "big data." With visual analytics, you can cruise a billion records and just do graphs and plots one after the

Ross Kaplan 0
Larger fraud schemes means more money out the door

There has been a great deal of noise and subsequent press around healthcare fraud schemes getting larger and involving more collaborators. Much of the collusive fraud that has come to light has been taking place for years, costing millions of dollars, with very little recovery. In many cases, the conspirators

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