Data & Analytics

New in Data & Analytics

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Blockchain Data Storage May (Soon) Change Your Business Model

As a technology enabling greater data transparency, the opportunities blockchain offers are immense.

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Complexity’s Competitive Edge

IHG is obtaining a competitive advantage from applying advanced analytics to pricing and marketing.

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Tech Savvy: An Insider’s Guide to Building Data Science Teams

What’s happening this week at the intersection of management and technology.

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MIT SMR’s Global Research on Analytics

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Beyond the Hype: The Hard Work Behind Analytics Success

The 2016 Data & Analytics Report by MIT Sloan Management Review and SAS finds that competitive advantage from analytics is declining.

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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.

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The Analytics Mandate

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

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From Value to Vision: Reimagining the Possible with Data Analytics

The 2013 Data & Analytics Report by MIT Sloan Management Review and SAS details the emergence of Analytical Innovators.

Will Computing Technology Replace Humans?

Just How Smart Are Smart Machines?

March 15, 2016 | Thomas H. Davenport and Julia Kirby

Managers don’t expect to see machines displacing knowledge workers anytime soon. Instead, they expect computing technology to augment rather than replace the work of humans. But in the face of a sprawling and fast-evolving set of opportunities, what forms should that augmentation take? Davenport and Kirby, authors of “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines,” examine what cognitive technologies managers should be monitoring closely and what they should be applying now.

The Internet of Things

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Data & Analytics
Data & Analytics
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On-Demand Webinars and Videos

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Foundations of Analytics Strategy

The authors of MIT SMR‘s 2016 Data & Analytics Research Report present their findings.

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Leveraging Smart Data and Internet of Things to Realize Mass Customization

In an on-demand webinar, Wolfgang Gruel and Frank Piller detail new experiments in personal transportation.

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Cognitive Technologies: The Next Step Up for Data and Analytics

This on-demand webinar highlights research from “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.”

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Managing Data in the Age of the Internet of Things

In this webinar, analytics experts discuss the data and analytics opportunities presented by the Internet of Things phenomenon.

GEs's Move Into Industrial Analytics

GE’s Big Bet on Data and Analytics

| Laura Winig

GE has bet big on the Industrial Internet — the convergence of industrial machines, data, and the Internet. The company is putting sensors on gas turbines, jet engines, and other machines; connecting them to the cloud; and analyzing the resulting flow of data. The goal: identify ways to improve machine productivity and reliability. This MIT Sloan Management Review case study looks at how this traditional manufacturer is remaking itself into a modern digital business.

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Data & Analytics Interviews

Our interviews with data practitioners from Cathay Pacific airlines, General Mills, Equifax and more explore how organizations are utilizing data for better decision making in the real world. (Click here for more interviews.)

Data & Analytics

Building a Better Car Company With Analytics

Putting data and analytics to work hasn’t just helped Ford more competitive — it has transformed the company’s processes.

Data & Analytics

Enough Health Care Data for an Army: The Million Veteran Program

U.S. veterans are helping customize medicine through big data that will unravel the role of genes in health and disease.

Data & Analytics

Viewing Data as a Liquid Asset

Can data assets be used as currency for financial transactions?

Data & Analytics
Data & Analytics
Data & Analytics

Innovating with Airborne Analytics

Airline Cathay Pacific incorporates data into all its operations to make decision making more efficient. But experience counts, too.

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Blog Posts, Videos, Articles and More

Data Variety Trumps Volume

Variety, Not Volume, Is Driving Big Data Initiatives

March 28, 2016 | Randy Bean

The past several years have been period of exploration, experimentation, and trial and error in Big Data among Fortune 1,000 companies, and the result has been a different story. For these firms, it is not the ability to process and manage large data volumes that is driving successful Big Data outcomes. Rather, it is the ability to integrate more sources of data than ever before — new data, old data, big data, small data, structured data, unstructured data, social media data, behavioral data, and legacy data. Guest blogger Randy Bean, CEO of NewVantage Partners, explains why the “variety challenge” has emerged as the top data priority.