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Big Data and the Sears Repairman

In a recent Fortune article, Phil Wahba examined Sears’ new big data strategy, which involves using the hundreds of millions of records cataloged by Sears’ technicians to calculate the complexity of repairs as well as estimates of the cost and time that is required to complete a job. Click here to learn more about how […]

The Dirty Work for a Data Scientist

Stephen H. Yu of eClerx recently wrote a guest feature article for InsideBigData.com titled, “Data Refinement: The Dirty Side of Data Refinement.” Yu explains that young data scientists will find that their jobs require a fair amount of dirty work because most data sets are inadequate for advanced analytics. Read on to learn more about […]

Help Wanted: Black Belts in Data

According to Rodrigo Orihuela and Dina Bass of Bloomberg Businessweek, “starting salaries for data scientists have gone north of $200,000.” In their recent article titled, “Help Wanted: Black Belts in Data,” the writers analyze the increasing demand for analytic talent. Read the complete article.