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Steve Blank’s disruption warning; a more effective cybersecurity mindset; should robots pay social security?
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With analytics as a hammer, so many questions can start to look like nails. It is difficult for organizations to know what to do. But the “should” in “What should we do?” goes beyond just selecting what to hammer on for maximum insight. Companies need to pay attention to the ways in which the possibilities that analytical abilities create involve responsibilities as well.
Secrets may be an unexpected casualty of increasing analytical prowess — just ask Volkswagen. Companies often have information they’d rather keep under wraps; sometimes it’s innocuous, like the timing of a new product launch, but other times it’s embarrassing details about unethical or even criminal behavior. But as data analytics becomes more broadly available, the chances of keeping secrets out of public view grow slimmer every day. Will this result in a change in how companies do business?
The Internet Revolution has so far not produced the kind of long-term productivity growth seen during the Industrial Revolution. Digital technology drove U.S. productivity growth above three percent annually only between 1996 and 2004. Since then, productivity has fallen to about 1.6 percent a year. General Electric argues that productivity growth will jump again as the industrial Internet emerges, connecting machines like turbines and jet engines to factories, and using analytics to make better decisions about maintenance and production.
A data and analytics survey conducted by MIT Sloan Management Review in partnership with SAS Institute Inc. found a strong correlation between the value companies say they generate using analytics and the amount of data they use. The creators of the survey identified five levels of analytics sophistication, with those at Level 5 being most sophisticated and innovative. These analytical innovators in Level 5 had several defining traits. This article explores those traits.
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