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On Facebook, President Obama has over 27 million followers to Republican challenger Mitt Romney’s 1.9 million, giving the President an edge in digital campaigning.
Today’s companies process more than 60 terabytes of information annually, about 1,000 times more than a decade ago. But how well are companies managing the data and capitalizing on the opportunities it presents?
To answer these questions, seven IT research centers studied data-related activities at 26 corporations and large nonprofit organizations. The research shows that while the IT unit is competent at storing and protecting data, it cannot make decisions that turn data into business value.
Do you know how much data is being collected about you at any given time by any given organization? Concerns about privacy in the new era of big data are making the rounds at many companies and being discussed by universities, governments and global institutions. This blogpost discusses some of the major privacy concerns about big data, how to address them and has a special focus on Equifax, the credit company that has 800 billion records with details on 500 million consumers and 81 million businesses in 17 countries.
A lot of the talk about analytics focuses on its potential to provide huge insights to company managers. But analyst Simon Robinson of 451 Research says that on the more basic level, the global conversation is about big data’s more pedestrian aspects: how do you store it, and how do you transmit it?
Big Data is often associated with big numbers, but less often with a big picture. The basic question — How can increasing the quantity, velocity and variety of captured data really impact how people manage? — can go unanswered. But in a MIT Sloan Executive Education course Big Data: Making Complex Things Simpler, MIT professors Erik Brynjolfsson and Alex Pentland offer that big picture view of the economic, societal and managerial transformations that they see on the horizon.
At the MIT Sloan CIO symposium earlier this month, panelists including Thomas Davenport laid out some of the reasons that big data is becoming such an exciting field.
David Kiron, executive editor of MIT SMR‘s Innovation Hubs, attended “Big Data: Making Complex Things Simpler,” a two-day seminar taught by MIT’s Erik Brynjolfsson and Sandy Pentland. Kiron shares insights from the course, including how cheap flows of data enable faster experimentation and the privacy implications of Big Data.
Full text of papers presented at last week’s Collective Intelligence 2012 conference at MIT are now online and available for downloading.
The state of Massachusetts is a major U.S. center of big data, says Stephen O’Leary, an M&A advisor with Aeris Partners and executive committee member of the Massachusetts Technology Leadership Council. It’s only poised to get hotter.
Big Data is now a $64 billion business, says McKinsey Global Institute. Among the start-ups in the fray: Bluefin Labs, which analyzes what we say in social media about TV.
The capabilities of computers are now improving so quickly that concepts can move from the realm of science fiction into everyday life in just a few years, rather than a lifetime. Rapid advances in information technology — computer hardware, software and networks — are yielding applications that can do anything from answering game show questions to driving cars. But to gain true leverage from these ever-improving technologies, companies need new processes and business models.
In this second joint MIT Sloan Management Review and IBM Institute for Business Value study, we see a growing divide between those companies that, on one side, see the value of business analytics and are transforming themselves to take advantage of these newfound opportunities, and those, on the other, that have yet to embrace them.
Business analytics projects are often characterized by uncertain or changing requirements — and a high implementation risk. So it takes a special breed of project manager to execute and deliver them.
Before this year's baseball season began, Dimitris Bertsimas, an MIT Sloan School of Management professor who teaches a course called "The Analytical Edge," predicted the Boston Red Sox baseball team would win 101 games in the regular 162-game baseball season.
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