Data & Analytics

Showing 61-80 of 113

Veronika Belokhvostova, head of Global Business Analytics at PayPal.

Mining Data at PayPal to Guide Business Strategy

“The kind of people we hire want to know that their work is not gathering dust on some shelf, but has a real impact on the company,” says Veronika Belokhvostova, head of Global Business Analytics at PayPal. And indeed, business analysts there are collaborating with business leaders to answer the “what should we do next?” question.

Image courtesy of Flickr user igormazic.
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Data Analytics and the Information Transfer Gap

Most companies seem to be better at collecting data than using what they collect to create value. As companies increase the amount and variety of data they collect, the gap between data collection and insight generation may increase. This blogpost highlights several hurdles that need to be overcome to bridge this gap.

Image courtesy of Match.com.

Innovating With Analytics

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.

Jeanne Ross, director of the MIT Sloan Center for Information Systems Research

Do You Need a Data Dictator?

Some companies have a counting problem when it comes to data. Revenues, customers and leads can be counted the same way by all managers…or not. Director of MIT’s Center for Information System Research discusses the growing interest in data analytics and how one company that was in the red dealt with business unit heads all of whom were reporting profits.

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Image courtesy of Flickr user KJGarbutt.

Finding Value in the Information Explosion

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.

“Eye” by artist Tony Tasset in Laumeier Sculpture Park, St. Louis, MO. Image courtesy of Flickr user warmestregards.
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How Much Data is Too Much Data To Mine?

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.

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The Storage and Transfer Challenges of Big Data

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?

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Big Data Lessons at MIT

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.

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All Fired Up in Massachusetts: The State’s New Wave of Big Data Companies

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.

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Image courtesy of IBM.

Winning the Race With Ever-Smarter Machines

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.

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Analytics: The Widening Divide

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.

Image courtesy of the US Army.

Quick Wins Help Avoid Culture Obstacles on the Path to Value

“The biggest predictor of success…has been when there’s a strong business sponsor involved,” says Randy Bean, co-founder of NewVantage Partners. Broad-based organizational support usually follows when the business sees how analytics will improve the top and bottom line.

Showing 61-80 of 113