Data & Analytics

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Building a Better Car Company With Analytics

Using data and analytics to understand the complexities of modern business has become not only common, but essential. Gahl Berkooz joined Ford Motor Co. in 2004, eventually becoming head of data and governance and a member of the company’s global data insights and analytics skill team. Berkooz became acutely aware of how important analytics is to the company’s ability to thrive in the global marketplace. “What it boils down to,” he told MIT SMR’s Michael Fitzgerald, “is that we know how to make decisions. It’s about finding the opportunities to bring data and analytics to make better decisions.”

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MIT for Managers: How Insecure Is The Internet of Things?

This new blog from MIT Sloan Management Review explores ideas from different corners of the MIT community that are relevant to business executives. We will introduce you to research, people and events you might not otherwise encounter — things we hope you find useful and perhaps provocative. This week we look at gaping security holes in the Internet of Things and revisit the analytical revelations of Michael Lewis’s Moneyball.

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Variety, Not Volume, Is Driving Big Data Initiatives

The past several years have been period of exploration, experimentation, and trial and error in Big Data among Fortune 1,000 companies, and the result has been a different story. For these firms, it is not the ability to process and manage large data volumes that is driving successful Big Data outcomes. Rather, it is the ability to integrate more sources of data than ever before — new data, old data, big data, small data, structured data, unstructured data, social media data, behavioral data, and legacy data. Guest blogger Randy Bean, CEO of NewVantage Partners, explains why the “variety challenge” has emerged as the top data priority.

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Where Digitization Is Failing to Deliver

It has become a truism that the pace of work is faster than ever, as digital technologies speed up communication and operational processes in a story of unending progress. But increased speed has not translated into increased rates of productivity growth. Since 2004, growth rates have slowed not just in the US but across the world. Chad Syverson, J. Baum Harris Professor of Economics at the University of Chicago’s Booth School of Business, explains what the implications are, and why the benefits of new technologies are not straightforward.

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Free Webinar: Foundations of Analytics Strategy

The 2016 MIT SMR/SAS Data and Analytics report, “Beyond the Hype: The Hard Work Behind Analytics Success,” finds that competitive advantage from analytics is declining — but that organizations achieving the greatest benefits have figured out how to ensure that the right data is being captured. In this webinar, the authors of the report explain how companies are making this transition and which are seeing the most success.

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Now That Your Products Can Talk, What Will They Tell You?

Products connected to the Internet of Things are providing unprecedented levels of information that can be used to improve both products and customer experience. For instance, a company does not have to wait until a customer calls with a complaint to know that a product connected to the Internet of Things is not working correctly. Instead, the product could already communicate the information, giving the company the ability to provide proactive service. Result: more loyal customers.

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Just How Smart Are Smart Machines?

Managers don’t expect to see machines displacing knowledge workers anytime soon. Instead, they expect computing technology to augment rather than replace the work of humans. But in the face of a sprawling and fast-evolving set of opportunities, what forms should that augmentation take? Davenport and Kirby, authors of “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines,” examine what cognitive technologies managers should be monitoring closely and what they should be applying now.

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Beyond the Hype: The Hard Work Behind Analytics Success

The 2016 Data & Analytics Report by MIT Sloan Management Review and SAS finds that analytics is now a mainstream idea, but not a mainstream practice. Few companies have a strategic plan for analytics or are executing a strategy for what they hope to achieve with analytics. Organizations achieving the greatest benefits from analytics ensure the right data is being captured, and blend information and experience in making decisions.

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Cognitive Technologies: The Next Step Up for Data and Analytics

This free on-demand webinar offers context for understanding cognitive technology offerings. It focuses on what technology capabilities will be available — and what tasks will still require human input. Topics include artificial intelligence, automation, and business rules for making cognitive technology functional. Presenters Thomas H. Davenport and Julia Kirby are co-authors of the forthcoming book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.

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Tech Savvy: March 3, 2016

This week’s Tech Savvy looks at what’s happening in wearables at work, virtual reality in hiring, enhancing big data ROI, and digital transformation preparation. For instance, in a Netherlands warehouse, employees wearing smart glasses to pick orders show a 25% improvement in efficiency. And in big data, Wharton’s Eric Clemons notes that “Where big data analytics may create local fiefdoms, online social networks create distributed pockets of autonomous connection, affiliation, and even affection.”

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Tech Savvy: February 26, 2016

Peter Drucker defined the work of business leaders by three principal tasks: delivering financial results, making work and workers productive, and managing a company’s social impacts. Technological advances have transformed — and continue to transform — the world in myriad ways since Drucker published that definition in 1974. But technology hasn’t changed Drucker’s tasks. Instead, it is giving rise to new and better ways of executing them. This new column aims to help you identify big ideas and new tactics at the intersection of technology and management.

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GE’s Big Bet on Data and Analytics

GE has bet big on the Industrial Internet — the convergence of industrial machines, data, and the Internet. The company is putting sensors on gas turbines, jet engines, and other machines; connecting them to the cloud; and analyzing the resulting flow of data. The goal: identify ways to improve machine productivity and reliability. This MIT Sloan Management Review case study looks at how this traditional manufacturer is remaking itself into a modern digital business.

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Will the Internet of Trees Be the Next Game Changer?

  • Interview
  • Read Time: 9 min 

Unlike agriculture, where cutting-edge technologies are being aggressively adopted, forestry and its related industries are something of a technology laggard. But the prospect of the industry using sensors in the field, both in sawmills and even embedded within trees themselves, is emerging. Eric Hansen and Scott Leavengood, both professors at Oregon State University’s Wood Science and Engineering department, discuss how the Internet of Things could help drive efficiency and improve quality in the forestry sector.

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What the Internet of Things Could Mean to Consumers

From wearables to hotel desks that remind us to move around, connected objects are becoming a bigger part of consumers’ lives. For instance, famed design firm IDEO is using people-centered design to envision the Internet of Consumer Things, including helping to create a headband that lets people measure their brain activity and track their mental focus. In the hospitality industry, smart locks, smart lights, and even desks that suggest changing your posture could all become routine.

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Pushing the Boundaries of Predictive Analytics and the IoT

From sensing issues with turbine engines to identifying non-standard washing machine loads, predictive analytics are a given in the Internet of Things (IoT). But what will happen to predictive analytics once everything is connected? This list of five links points to predictions and calculations that some people in the field are making.

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Free Webinar: Leveraging Smart Data for Mass Customization

Research shows that applying smart data and the principles of mass customization to transportation ecosystems is launching new business models — and fundamentally changing the way we travel. In this webinar, customization experts Wolfgang Gruel and Frank Piller expand on their research into how to create integrated smart data ecosystems that cross corporate boundaries. They also detail real-life mass customization lessons that can be applied to any industry.

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Hype vs. Reality: A Reality Check on the Internet of Things

  • Blog
  • Read Time: 2 min 

The Internet of Things has plenty of hype — it’s going to be big, really big — but also plenty of detractors. The naysayers breathily predict everything from the surveillance state to a wrecked economy to people enslaved by machines. Here are nine bits of information to consider, from the way the Internet of Things will create (yet another) battle for control of the Internet, to the fact that the security of the Internet of Things is under fire before it even exists.

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Webinar on Cognitive Technologies with Tom Davenport and Julia Kirby

Now available on-demand: This free webinar offers context for understanding cognitive technology offerings. It focuses on what technology capabilities will be available — and what tasks will still require human input. Topics include artificial intelligence, automation, and business rules for making cognitive technology functional. Presenters Thomas H. Davenport and Julia Kirby are co-authors of the forthcoming book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.

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How Time-to-Insight Is Driving Big Data Business Investment

With the emergence of a digital economy over the course of the past two decades, leading companies have learned that they must act faster to respond to customer needs and competitive dynamics. The fourth annual Big Data Executive Survey confirms that Fortune 1000 firms recognize that faster time-to-insight correlates with success and will be the driving force behind Big Data investment for the years ahead.

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Avoiding Analytical Myopia

Analytics offers managers a great way to fine-tune processes, but too many executives focus on metrics at the expense of the bigger picture. The blinders and focus that work well to optimize the details of a problem may prevent managers from seeing other options, and intense focus on a narrow measure can address only the well-specified puzzle — resulting in a myopic view of the problem. Executives who desire bigger breakthroughs need to encourage exploration.

Showing 21-40 of 224