Data & Analytics

New in Data & Analytics


AI-Driven Leadership

Leaders at the forefront of making organizations AI-driven have seven key attributes.


Improving Strategic Execution With Machine Learning

MIT SMR’s 2018 Strategic Measurement study reveals how organizations using machine learning to enhance KPI-driven decision-making are pulling ahead of their competitors.

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Why the Data Marketplaces of the Future Will Sell Insights, Not Data

Frontiers |

MIT professor Munther Dahleh proposes a marketplace for data that bases the cost of data on the financial value it generates


“People Analytics” Comes Center Stage


Companies are increasingly leveraging objective data and deep analysis to support their strategic decisions about talent. Open access to these three MIT Sloan Management Review articles about using data in recruiting, performance evaluation, and other aspects of human resources is provided courtesy of Wharton Executive Education.


What Makes a KPI Worthwhile?

The Anatomy of Effective KPIs

July 10, 2018 | Michael Schrage

Leading tomorrow’s enterprise with yesterday’s KPIs is like using a compass instead of a GPS.

Data In Customer Service


Data Privacy

Your Customers May Be the Weakest Link in Your Data Privacy Defenses

Many ethical, lawfully managed businesses have consumer data they aren’t legally authorized to possess, obtained from a surprising source: their customers, who inadvertently share the personal data of family, friends, and colleagues. And in the wake of the Cambridge Analytica scandal and the enactment of the EU’s General Data Protection Regulation, peer-dependent privacy is emerging as a critical consideration for businesses.

Will Consumer Privacy Concerns Limit the Use of Big Data?

Each month, the MIT SMR Strategy Forum poses a single question to our panel of experts in the fields of business, economics, and management. This month’s question asks our panel whether privacy concerns will limit businesses’ use of consumer data.


Data Quality


The Risk of Machine-Learning Bias (and How to Prevent It)

Frontiers |

Machine learning is susceptible to unintended biases that require careful planning to avoid.


Seizing Opportunity in Data Quality

Frontiers |

The cost of bad data is an astonishing 15% to 25% of revenue for most companies.


The Big Impact of Small Data Errors

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



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.

Big Idea: Competing With Data and Analytics

The Competing With Data and Analytics initiative has investigated how technology enables competitiveness, answering the key question: How are organizations leveraging data and analytics to increase operational efficiency, engage key stakeholders, and report on business successes?

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