Data & Analytics

Showing 41-60 of 269

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Free Webinar, Organizing for IoT

In a free webinar, James Heppelmann, president and chief executive officer of PTC, discusses how IoT is transforming companies’ organizational structures. He’ll illustrate the new need for companies to coordinate across product design, cloud operation, service improvement, and customer engagement, and some of the models for making the transition to a new structure, including centers of excellence and steering committees. The presentation is followed by a Q&A session with the presenter.

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Do You Know What Really Drives Your Business’s Performance?

Although intuitively appealing, strategy maps and models such as the service profit chain have a common pitfall: They encourage managers to embrace general assumptions about the drivers of financial performance that may not stand up to close scrutiny in their own organizations. A more rigorous analytic approach called performance topology mapping may help managers avoid these assumptions, as well as the strategic mistakes they promote.

Image courtesy of Flickr user Keith Allison

Stephen Curry, the Golden State Warriors, and the Power of Analytics at Work

Organizations across an increasing number of sports and levels of competition are capitalizing on data to gain a competitive edge. Indeed, few industries have implemented data-driven decision making as successfully as sports. And learnings from the sports analytics revolution are applicable to a broad range of other industries.

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Better Data Brings a Renewal at the Bank of England

The Bank of England, one of the world’s oldest and most influential central banks, has made analytics excellence a key pillar of its mission to promote economic stability within the United Kingdom. Like other central banks, the Bank has relied on data and analytics to formulate policy recommendations. But, since 2008 when it regained its status as a regulator, the Bank has begun using its access to new forms of data to increase its insights and forecasting abilities about the British economy.

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Six Lessons From Amsterdam’s Smart City Initiative

The city of Amsterdam is becoming a model for “smart cities” through its innovation efforts to improve the lives of its employees and inhabitants. This case offers insights into what it takes to achieve these goals, including: taking the crucial step of doing an initial inventory of data available; using and integrating data from the private sector; and experimenting and learning from pilot projects.

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Internet of Things in Motion: Analytics and Transportation

  • Research Highlight
  • Read Time: 6 min 

Vast amounts of data are being analyzed to literally help trains run on time. With digitization capturing data on everything from the weight of connected rail cars to the quality of tracks to the terrain trains are traveling through, railway companies are now able to predict when breakdowns might occur and fix those trains proactively. The results are breathtaking: nearly 100% availability of operational trains.

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Monitor, Measure, Incentivize: Is Management as Simple as That?

Nicholas Bloom, William Eberle Professor of Economics at Stanford University, conducted an extensive study of 30,000 US factories, and found that two practices, underpinned by innovative software and IT systems, stand out in highly effectively managed operations: monitoring and incentives.

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Data-Driven City Management

Many major cities recognize the opportunity to improve urban life with data analytics, and are exploring how to use information technologies to develop smarter services and a more sustainable footprint. Amsterdam, which has been working toward becoming a “smart city” for almost 7 years, offers insights into the complexities facing city managers who see the opportunity with data, but must collaborate with a diverse group of stakeholders to achieve their goals. The city’s chief technology officer, Ger Baron, makes it clear that their efforts are still early days: “I can give you the nice stories that we’re doing great stuff with data and information, but we’re very much at a starting point,” he says.

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Sales Gets a Machine-Learning Makeover

New advances in machine learning are allowing sales teams to manage huge amounts of data to become more effective and efficient. Our research suggests three main ways machine learning is being successfully integrated into sales processes. First, it allows for a scientific approach that clarifies opaque parts of the sales process. Second, it enables more-effective data-driven experimentation. Third, it automates administrative duties that take time away from higher-value tasks.

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Investing For a Sustainable Future

Investors see a strong link between corporate sustainability performance and financial performance — so they’re using sustainability-related data as a rationale for investment decisions like never before.

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General Motors Relies on IoT to Anticipate Customers’ Needs

Steve Schwinke, a member of the original design team for General Motors’ OnStar service and director of its Global Connected Customer Experience unit, says that GM is leveraging the Internet of Things to deliver products and services that consistently ensure the safety of its customers. “I always talk to my team about the Wayne Gretzky quote — skate to where the puck is going,” he says. “How good are we at really anticipating? What are the things that our customers need but don’t know they need?”

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Remapping the Last Mile of the Urban Supply Chain

  • Blog
  • Read Time: 6 min 

There are many reasons to believe we are on the crest of substantial progress with even the most challenging of last mile deliveries. Innovative models such as smart locker systems, the use of electric vehicles, and on-demand fleet services such as UberRUSH are being explored. The MIT Megacity Lab is helping identify customer-specific insights about how supply chains deliver products to urban customers and finds that autonomous delivery vehicles, while still years from wide-scale implementation, hold game-changing promise.

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MIT for Managers: Goodbye Traffic Lights?

  • Blog
  • Read Time: 4 min 

The next time you’re sitting at a red light, savor the moment. If researchers from MIT’s SENSEable City Lab and the Ambient Mobility Lab have their way, your hours of waiting at traffic lights could be numbered. In an article published in PLoS One, a team led by MIT’s Carlo Ratti and Paoli Santi describe a system in which automobiles and transportation infrastructure would interact though an algorithm that would manage the safe flow of cars through busy intersections.

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Blockchain Data Storage May (Soon) Change Your Business Model

Blockchain is a data storage technology with implications for business that extend well beyond its most popular application to date — the virtual currency, Bitcoin. Managers need to build their organization’s absorptive capacity around this topic for at least three reasons: (1) the potential effects on organizational value chains, (2) communication within and between organizations, and (3) benefits from cooperation.

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Complexity’s Competitive Edge

IHG is gaining a competitive advantage from applying advanced analytics to pricing and marketing. “Addressing complexity, if you can address complexity in modern marketing, gives companies a competitive advantage that can take time for competitors to replicate,” say IHG executives Larry Seligman, Jim Sprigg, Angela Galeziowski, and Dev Koushik, in a group interview.

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On Demand: Free Webinar, IoT in Motion

  • Blog
  • Read Time: 1 min 

Siemens’ Gerhard Kress, director of the company’s Mobility Division, has extensive experience in using IoT data and analytics to predict and manage service challenges in the railway industry. He joins MIT SMR senior editor Bruce Posner to discuss how companies that move people and products can capitalize on the opportunity that IoT data offers. Kress will show how the age of Big Data lets transportation companies improve how they manage the multiple challenges affecting their operations.

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Foundations of Analytics Strategy

Competitive advantage from analytics is declining, according to the 2016 annual report about data and analytics by MIT Sloan Management Review. In this on-demand webinar, the authors of the report — Sam Ransbotham, an associate professor in information systems at Boston College and guest editor at MIT SMR; David Kiron, the executive editor of MIT SMR’s Big Ideas Initiative; and Pamela Kirk Prentice, the chief research officer at SAS Institute Inc. — discuss how analytically-sophisticated companies are managing to cultivate both innovation and competitive advantage with analytics.

Showing 41-60 of 269