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Research looks at how applying smart data to transportation ecosystems is launching new business models.
The blinders and focus that work well to optimize the details of a problem may prevent managers from seeing other options.
This webinar covers "smart" technologies, cognitive technology, and artificial intelligence.
Data & Analytics
Support for the Data & Analytics topic provided in part by:
KNOWLEDGE PARTNERMIT Sloan Management Review is collaborating with SAS on the development of research materials connected with analytics and management innovation.
GLOBAL INSIGHTS CASE STUDY SPONSORBecoming an analytics-driven organization means embedding analytics into your day-to-day business processes to drive real innovation.
- RESOURCES FROM EY ON DATA & ANALYTICS
- Building trusted relationships through analytics and experience
- Understanding and optimizing the digital budget
- On the road to online personalization
Sam Ransbotham et al.
The 2015 Data & Analytics Report by MIT Sloan Management Review and SAS finds that talent management is critical to realizing analytics benefits.
David Kiron et al.
The 2014 Data & Analytics Report by MIT Sloan Management Review and SAS finds that an analytics culture offers better outcomes.
David Kiron et al.
The 2013 Data & Analytics Report by MIT Sloan Management Review and SAS details the emergence of Analytical Innovators.
January 26, 2016 | Randy Bean
With the emergence of a digital economy over the course of the past two decades, leading companies have learned that they must act faster to respond to customer needs and competitive dynamics. The fourth annual Big Data Executive Survey confirms that Fortune 1000 firms recognize that faster time-to-insight correlates with success and will be the driving force behind Big Data investment for the years ahead.
Nine bits of information to consider about the emerging Internet of Things.
The Internet of Things is on the brink of transforming business, but most businesses aren’t yet prepared.
Renee Boucher Ferguson
What will happen to predictive analytics once everything is connected?
June 25, 2015 | Christopher Mazzei
An organization can have the best technology and the best analytics but still fail to deliver. As Intermountain Healthcare demonstrates, a commitment to the human dimension can drive return on analytics investment. Its leadership commitment to analytics and organizational processes promotes a culture where every question is welcome and data delivers insights. And its training and incentives for doctors and other analytics ‘consumers’ encourage behaviors that deliver better outcomes.
Sam Ransbotham et al.
Should an international organization be required to take control of uniting the Internet of Things (IoT) into one system?
Sam Ransbotham (Boston College) et al.
An authors’ briefing and Q&A on the findings from the MIT SMR/SAS 2015 global study on data and analytics.
Denis Arnaud (Amadeus Travel Intelligence), Tuck Rickards (Russell Reynolds Associates), Sam Ransbotham (Boston College), interviewed by Michael Fitzgerald (MIT SMR)
A panel of experts discusses how to attract and manage analytics talent for best results.
We answer three questions about the findings in our recent Big Idea Initiative research report, “The Talent Dividend.”
August 17, 2015 | Roger M. Stein
To manage a first-rate data science or quant group, leaders need to build an engaging environment, get the team the resources it needs and balance being involved while also staying out of the way. In banking, for example, division managers generally don’t review loan applications. But in analytics, the most successful leaders engage regularly in hands-on research and continue to publish regularly even as they move up the executive ladder. By staying active in line research, analytics managers are able to hone their abilities to judge how difficult projects are and how long they will take.
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.)
J. Michael Gaziano and Saiju Pyarajan (Million Veteran Program, VA Boston Healthcare System, and Harvard Medical School), interviewed by Sam Ransbotham
U.S. veterans are helping customize medicine through big data that will unravel the role of genes in health and disease.
Steve Allan (SVB Analytics), interviewed by Michael Fitzgerald
Can data assets be used as currency for financial transactions?
Hugh Scandrett (EnerNOC), interviewed by Sam Ransbotham
Energy intelligence software company EnerNOC is helping companies save money and cut back on energy usage.
Greg Jones (Equifax), interviewed by Sam Ransbotham
Equifax credit reporting agency is beginning to incorporate unstructured data from sources such as social media.
Wayde Fleener (General Mills), interviewed by Michael Fitzgerald
Companies adding analytics professionals must navigate cultural tradition and turf tensions.
Joe Locandro (Cathay Pacific), interviewed by David Kiron
Airline Cathay Pacific incorporates data into all its operations to make decision making more efficient. But experience counts, too.
Leading companies are using an array of detection and response techniques to become more resilient.
Car-sharing saves money and emissions for drivers, and makes money for the companies coordinating.
With the explosion of new technologies comes a new universe of data — and Epsilon is helping businesses navigate it.
Organizations need maturity around analytics, including a better distinction between what “could” and what “should” be done.
Big data analysis can help geographically distributed companies monitor customer satisfaction.
Reputation is central to the new sharing economy — and data is the key to reputation.
An animated infographic illustrates the key stats from MIT SMR’s 2015 data and analytics report.
Big Data approaches developed by new economy firms are being adopted by mainstream corporations.
Secrets are a casualty of analytical prowess, and companies have new incentives to act honorably.
The process of managing a data science research effort can seem quite messy, in contrast to data's aura of reason.
If there are quality problems with your data, there are ways to clean it up — but it’s often more efficient to refactor your processes to prevent “smelly” data.
Intermountain Healthcare uses data and analytics to improve its health services, including lowering its infection rates.
November 17, 2015 | Peter A. Gloor
By studying data from email archives and other sources, managers can gain surprising insights about how groups should be organized and about which communications patterns are most successful. Anonymized analysis of internal information communication found that creative people, for instance, work more productively on projects with strong leaders than on collaborations without a clear leader. In addition, in many situations, groups of leaders taking turns worked better at sparking creativity.