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New in Data & Analytics


The Big Impact of Small Data Errors

Small errors in data linkages can sometimes prove damaging — but not if managers watch for them.


The New Frontier of Price Optimization

Frontiers |

Identifying the optimal prices for products was once a time-consuming process. That’s changing.


When Jobs Become Commodities

Frontiers |

It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.



Developing Your Approach to Data Security


Learning to Listen to Data

When People Don’t Trust Algorithms

Frontiers |

July 5, 2017 | Berkeley J. Dietvorst, interviewed by Paul Michelman

Even when faced with evidence that an algorithm will deliver better results than human judgment, we consistently choose to follow our own minds. Why? MIT Sloan Management Review editor in chief Paul Michelman sat down with the University of Chicago’s Berkeley Dietvorst to find out.

Download the Collection

“Getting Results From Your Company’s Data”

Get a collection of three MIT SMR articles on how to achieve positive results using your company’s analytical resources. Learn how to manage your data scientists effectively, how AI can prevent problems before they occur, and how best to use analytical insights to make smart business decisions. Registration required.


Data Results


Free download of this MIT SMR collection is brought to you by Domino.

Analytics and Supply Chains


Unleashing the Potential of Supply Chain Analytics

Frontiers |

To fully benefit from supply chain analytics, companies need to be able to act on insights quickly.


Remapping the Last Mile of the Urban Supply Chain

A new wave of data innovation offers unprecedented promise to crack the black box of effective urban deliveries.


Sharing Supply Chain Data in the Digital Era

Effectively coordinating supply chains will increasingly require new approaches to data transparency.


Meeting Your Analytics Talent Needs

Why Your Company Needs Data Translators

Frontiers |

When it comes to putting data to use, communication — or rather, lack of it — between the data scientists and the executive decision makers can cause problems. The two sides often don’t speak the same language and may differ in their approach to and respect for data-based decisions. Given these challenges, organizations may need to call upon a “data translator” to improve how data is incorporated into decision making processes.

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.



MIT SMR’s Global Research Surveys

Analytics as a Source of Business Innovation

The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.

The Talent Dividend

The 2015 Data & Analytics Report by MIT Sloan Management Review and SAS finds that talent management is critical to realizing analytics benefits.

The Analytics Mandate

The 2014 Data & Analytics Report by MIT Sloan Management Review and SAS finds that an analytics culture offers better outcomes.


Explore Our On-Demand Webinars and Videos

Faster Results From Supply Chain Analytics

In this webinar, MIT SMR authors discuss steps supply chain executives can take to make supply chain analytics a transformational and competitive resource in their organizations.

Platform Strategy and the Internet of Things

In this webinar, Professor Marshall Van Alstyne discusses how platform strategy and IoT combine to produce value for all players in the ecosystem.

Case Studies: Innovation Through Analytics


GE’s Big Bet on Data and Analytics

An MIT SMR case study looks at how GE is remaking itself from a traditional manufacturer into a leader of the Industrial Internet.


Data-Driven City Management

Data and analytics promise to improve urban living. But are cities ready?


A Data-Driven Approach to Customer Relationships

South Africa’s Nedbank uses analytics to help its clients reassess their customer relationships.


When Health Care Gets a Healthy Dose of Data

American health care is undergoing a data-driven transformation — and Utah’s Intermountain Healthcare is leading the way.