Competing With Data & Analytics

How are organizations leveraging data and analytics to increase operational efficiency, engage key stakeholders, and report on business successes? From 2010-2018, the Data and Analytics initiative investigated how technology enables competitiveness.

MIT SMR’s research employs global qualitative and quantitative methods to investigate how data is influencing business processes, offerings, and engagement with customers. It looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.

IoT and Developing Analytics-Based Data Products

Coauthors Thomas H. Davenport and Stephan Kudyba discuss the many ways for organizations to monetize data, including selling “data products” directly to consumers. A seven-step model shows the way real-life companies are developing those products and services.

Free Webinar, Dec. 1: IoT and Developing Analytics-Based Data Products

On Dec. 1 at 11 a.m. EST, join MIT SMR coauthors Thomas H. Davenport and Stephan Kudyba in a free, live webinar, where they will discuss their recent article, “Designing and Developing Analytics-Based Data Products.” The authors will look at the ways in which the internet of things, market forces, and evolving technology are changing how companies plan the development of data products. This new product category requires a reworking of the traditional phases of product development.

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Free Video Panel: Creating a Data-Driven Enterprise: Real-Life Cases

In a video panel and Q&A, MIT SMR editors discuss key insights from a recently completed series of in-depth case studies on how prominent organizations are using data and analytics to transform their operations. They review Intermountain Healthcare, GE, Nedbank, and the City of Amsterdam’s efforts to become more data driven. This set of diverse organizations offers a unique perspective on the challenges and opportunities associated with becoming a data-driven organization.

A Bank On the Edge of a Deep River

South African finance leader Nedbank is using data and analytics as a way to help the bank’s clients better understand their business. And the more data-oriented the bank becomes, the better able it will be to turn its developing prowess on itself. As the bank dives deeper into analytics, the same data it’s using for clients can help Nedbank better understand its own organization, employees, suppliers, and more.

Customer Relationships Get the Data Treatment

A case study by MIT Sloan Management Review, “A Data-Driven Approach to Customer Relationships,” details how the South African bank Nedbank is using its rich access to a trove of transactional data from credit card use — from the time of transactions and size of purchases to retailer locations, and even specific details like the age, gender, race, marital status, and income bracket of some users — to help merchants make strategic decisions to better serve those customers.

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Can Artificial Intelligence Replace Executive Decision Making?

Despite improvements in cognitive technologies, the “Jetson” dream managerial scenario of sitting back and letting machines do all the work is still far from reality. Decisions that executives face don’t necessarily fit into defined problems well suited for automation. Cognitive technologies will increasingly absorb the easiest aspects of executive jobs, but at least for the time being, countless decisions still require human engagement.

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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.

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.

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.

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.

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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