Data & Analytics

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Omnichannel Retailing and Data Analytics: Leveling the Playing Field

We’re in a new world of omnichannel retailing that includes physical, online and mobile channels. And those channels are blurring.

In a recent AllAnaltyics video and web chat, Analytics in the Age of Omnichannel Retailing, researchers Erik Brynjolfsson, director of the MIT Center for Digital Business, Yu Jeffrey Hu, associate professor at Georgia Institute of Technology’s Scheller College of Business, and Mohammad Rahman, associate professor at University of Calgary’s Haskayne School of Business, discussed the challenges facing retailers.

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Big Data That’s Good for the Public

Facts: 900 million. Active sources: more than 100,000. Data sets: 30,000, with 200 million time series and 1.5 billion fact values.

Link all these data sources together and what do you get? Timely, if not crucial, contextual information about markets, trends, competitors, products and consumer opinions.

This is the promise of DOPA, a project funded under the umbrella of the European Union.

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A Process of Continuous Innovation: Centralizing Analytics at Caesars

Over the past several years, Caesars has undergone a reorganization, in part to centralize its analytics functions. It has sought to build a deeper understanding not only of customers, but also of operations — everything from food and beverage analytics to labor analytics. Ruben Sigala, chief analytics officer at Caesars, talks with MIT Sloan Management Review contributing editor Renee Boucher Ferguson about that process, some valuable lessons learned, and where innovation and intuition play a role.

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Big Data’s Travails Don’t Mean It’s Derailed

Executives are growing dismissive of Big Data’s value. Even the best companies can struggle to get good results from their data. But data isn’t getting smaller, it’s getting much, much larger. Corporate executives should look at what’s emerging from universities like MIT, where researchers are beginning to get answers to longstanding big questions in healthcare, public policy and finance.

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How eBay Uses Data and Analytics to Get Closer to Its (Massive) Customer Base

You can find just about anything on eBay: A vintage BMW, a Lear jet, a half-million-dollar yacht. From all that activity stems a lot of data and, eventually, information. In conversation with MIT Sloan Management Review contributing editor Renee Boucher Ferguson, Neel Sundaresan, senior director of research at eBay, discusses how eBay uses data and analytics at every level of the company to continuously evolve eBay’s numerous sites and services for buyers and sellers.

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Analyzing Performance in Service Organizations

We can’t always trust our intuition about how employees will perform. Intuition can be misleading, or just plain wrong. So a growing number of savvy service businesses have investigated the use of a sophisticated linear programming technique called DEA, or data envelopment analysis. Authors H. David Sherman and Joe Zhu, who call DEA “balanced benchmarking,” write that the technique helps companies locate best practices not visible through other management methodologies.

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Big Data and Big Change Management: A Path Forward

MIT Sloan School of Management recently held a two-day executive education course, Big Data: Making Complex Things Simpler, designed to provide organizations with both an overview of big data and a few techniques to harness some of the illusive power of data. But in all the discussions that surfaced around the big issues from big data, the reality that many organizations grapple with is change management.

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Educating Executives Online in Four Dimensions

I am the proud recipient of an MIT Sloan Executive Education Course certification. Or, my avatar is.

MIT Sloan’s Big Data 4Dx executive education course, held simultaneously in Cambridge and in the virtual world this April, was the first ever to use a gaming interface. Think Second Life for the professional set.

Through the AvayaLive Engage platform, we online students were transported (as avatars) to a virtual auditorium, the classroom setting for the two-day Big Data: Making Complex Things Simpler course.

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Predicting the Performance of Analytics Talent

The surprising finding that 55% of big data analytics projects are abandoned comes from a recent survey of 300 IT professionals. The most significant challenge with analytics projects, according to the survey? Finding talent. Most (80%) of the respondents said that the top two reasons analytics projects fail is that managers lack the right expertise in house to “connect the dots” around data to form appropriate insights, and projects lack of business context around data.

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Reimagining the Possible with Data Analytics? Some Answers to Your Questions

During our webinar, we described those characteristics that define each group, and what your organization can do to become more like Analytical Innovators — if you’re not there already (in a poll, 13% of audience members identified themselves as Analytical Innovators).

As the hour-long webinar came to a close, we found that there were far more questions than we had time to answer. And we also found that there were far too many intriguing questions to let them go unanswered.

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How Analytics Can Transform Business Models

There are 52 million Latinos in the United States, with $1.5 trillion of purchasing power.

Entravision Communications Corporation a Spanish-language media company, reaches about 96% of that U.S. Latino audience through its numerous television and radio stations and digital platforms. It uses that extraordinary reach to provide media solutions to marketers interested in tapping into the Latino consumer market.

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Lessons From Analytical Innovators

In a webinar recorded in March 2013, the speakers present findings from the recent global study they co-authored, “From Value to Vision: Reimagining the Possible with Data Analytics.” In their study, they identified leaders of the analytics revolution they call “Analytical Innovators.” These companies share three key characteristics: a widely shared belief that data is a core asset; more effective use of more data for faster results; and support for analytics by senior managers shift power and resources to those who make data-driven decisions.

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Competitive Advantage with Data? Maybe … Maybe Not

IBM chairman, president and CEO Virginia Rometty has been making the rounds of late — in February she spoke at the annual IBM investor briefing; in March to the Council on Foreign Relations — espousing a bold new future built upon big data.

At the investors’ meeting, Rometty said that big data — defined as data streaming in to the worlds’ organizations from cloud, mobile and social networks (and presumably mingled with enterprise data) — will be the basis of competitive advantage for every company and every industry for the next decade.

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Analytics and Intuition: Finding Equilibrium

Just before the New Year, New York Times writer Steve Lohr wrote a blog, Big Data is Great. But So Is Intuition, which addresses a question we here at MIT Sloan Management Review have been researching for the past year: With the growing potential of data and analytics, where is the shifting line between analytics and intuition?

Image courtesy of Flickr user MegMoggington.

Team GB: Using Analytics (and Intuition) To Improve Performance

Becoming an elite athlete — or coaching a team of this rarified breed — has as much to do with talent and skill as it does with experience and intuition (not to mention some serious hard work). And data is increasingly part of that mix at the highest echelon of sports: the Olympic Games. At Team GB analytics are used to both monitor the performance of athletes and to predict how well a team will perform. But what could the future hold? Evidence-based coaching — and training.

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From Value to Vision: Reimagining the Possible with Data Analytics

Based on a global executive survey with 2,500+ respondents and interviews with more than two dozen executives and academics, MIT Sloan Management Review and SAS Institute Inc. report on the distinctive characteristics and habits of companies that are very effective at using analytics to compete and innovate. This report offers an in-depth analysis of Analytical Innovators, the early leaders in the analytics revolution that is changing how many companies are managed.

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Organizational Alignment is Key to Big Data Success

Fortune 500 companies are rushing to make big data investments. Who is leading this charge? What are they doing? What are best practices and which practices should be avoided? A recent survey of C-level and function heads from Fortune 500 companies offers a unique glimpse into how the captains of industry are thinking about big data and how their companies are changing because of new insights gleaned from big data analyses.

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Love, Analytics and The Biology of You at Work

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Romantic love, big data analytics and…your personality at work? There is a correlation. And understanding it could help you communicate better with colleagues, bosses and clients. And get ahead.

A biological anthropologist and professor at Rutgers University, Helen Fisher has studied romantic love for thirty years.

Showing 21-40 of 101