Data & Analytics

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IoT and Implications for Organizational Structure

  • Opinion & Analysis

In this webinar, James Heppelmann, president and chief executive officer of PTC, discusses how IoT is transforming companies’ organizational structures. He illustrates 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.

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Want to Improve Your Portfolio? Call a Scientist

In a conversation with MIT SMR’s David Kiron and Sam Ransbotham, associate professor of information systems at the Carroll School of Management at Boston College and guest editor for the Data and Analytics Big Idea Initiative for the MIT Sloan Management Review, Jeffrey Bohn, chief science officer at State Street Global Exchange discusses how he is developing better trading and risk strategies for clients using State Street’s proprietary data and analytics.

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Webinar on Future Workspaces

  • Blog
  • Read Time: 1 min 

Today’s technology does allow global and instantaneous communication, but most of us still commute to offices for work every day. Why? Human aggregation, friction, and the interaction of our minds are vital aspects of work, especially in the creative industries. In a new webinar, MIT professor Carlo Ratti, director of MIT’s Senseable City Lab, discussed how new digital tools are emerging to measure human connections and behavior, and how workspace design can respond.

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Achieving Meritocracy in the Workplace

Rewarding employees based on merit can be more difficult than it first appears. Even efforts to reduce bias can backfire; disparities in raises and bonuses by gender, racial, and other characteristics persist in today’s organizations not only despite management’s attempts to reduce them but also because of such efforts. The author describes how a simple analytics-based approach can address these concerns and produce a truly meritocratic workplace.

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Improving Analytics Capabilities Through Crowdsourcing

Analytics capabilities can greatly expand a company’s ability to innovate — but what do you do when the talent you need just isn’t available? Agribusiness giant Syngenta, faced with an insurmountable analytics talent bottleneck, turned to crowdsourcing. Using a series of contests, it outsourced the development of a set of award-winning analytics tools to improve its decision making — and learned, in the process, some key factors supporting successful crowdsourcing.

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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.

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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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