Sublime

The most likely organizational structures to initiate or accommodate big data technologies are either existing analytics groups (including groups with an “operations research” focus, as at UPS and Schneider National); innovation or architectural groups within IT organizations, as at USAA and Procter & Gamble; or R&D analytics groups, as at

2010, the company established a Chief Data Office. Shortly thereafter, the company downloaded Hadoop and began reengineering computation-heavy data transformations using the big data environment. A major focus of the Hadoop implementation is cost reduction.

But instead of creating reports or presentations that advise senior executives on internal decisions, data scientists commonly work on customer-facing products and services.

A McKinsey report states, “By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5

Neustar had lots of unstructured data—now housed in Hadoop clusters—and is exploring it to find out how best to turn it into products.

high-performance analytics (HPA).

Studies by Peter Heslin, Don VandeWalle, and Gary Latham show that many managers do not believe in personal change. These fixed-mindset managers simply look for existing talent—they judge employees as competent or incompetent at the start and that’s that.

supporting the knowledge worker requires a different set of tools than those that have largely defined the common IT environments and office automation investments over the last few decades.