Data & Analytics

New in Data & Analytics

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The Big Data Problem That Market Research Must Fix

Data best supports marketing when researchers fully understand what they want to measure and how.

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Artificial Intelligence in Business Gets Real

The 2018 Artificial Intelligence Report by MIT SMR shows early leaders pushing forward with an eye toward scale.

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Management Consulting’s AI-powered Existential Crisis

Frontiers |

Consulting is vulnerable to technology and market forces that are disrupting services everywhere.

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Analytics and Customer Behavior

A More Profitable Approach to Product Returns

July 23, 2018 | James Abbey, Michael Ketzenberg, and Richard Metters

A relatively small number of purchase and return metrics can accurately predict customer profitability — and the likelihood of policy abuse. By using analytics to identify the few customers who cost the company the most money by abusing return policies before they make their next purchase, companies can prevent abusive returns, avoid PR disasters, and boost their profitability.

“Strategies For Getting the Best Out of AI”

Where will your company find its value in the future? The three articles in this collection about the importance of defining your organization’s future self. (Registration required.)

Articles included in this collection:

How Human-Computer ‘Superminds’ Are Redefining the Future of Work
By Thomas W. Malone

Why AI Isn’t the Death of Jobs
By Jacques Bughin

The Jobs That Artificial Intelligence Will Create
By H. James Wilson, Paul R. Daugherty, and Nicola Morini-Bianzino

AI

SAS

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

Analytics and Business Processes

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Navigating the Next Wave of Blockchain Innovation: Smart Contracts

Frontiers |

Smart contracts using blockchain enable faster, more secure digital agreements.

Using Data Science to Avoid Global Pricing Chaos

Five steps to make sure your data and analytics efforts pay off in the long term.

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Coming to Grips With Dangerous Algorithms

Frontiers |

With a new scrutiny around technology user data and privacy, we must not forget about the potential dangers of the technology itself.

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How Technology Affects Your Data Strategy

Improving Strategic Execution With Machine Learning

Our 2018 Strategic Measurement research shows that companies using machine learning to optimize business processes and decision-making have distinct advantages over those that aren’t investing in ML. By using ML technology to make KPIs more predictive and prescriptive, these data-driven companies are redefining how to create and measure value.

Preparing for a Blockchain Future

With the rise of blockchain and adoption of cryptocurrencies, companies across different industries can benefit from the increased trust and transparency these emerging technologies provide. Most executives recognize the need to prioritize blockchain as part of their business strategy, but the question of how to adopt and reskill can be daunting.

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Data Security

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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

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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.

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Data-Driven City Management

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

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A Data-Driven Approach to Customer Relationships

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

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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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