Data & Analytics

IMHblog-1200
Free Article

Using Big Data for Better Health Outcomes

Intermountain Healthcare is leading the way in data driven healthcare. In an example from Intermountain’s own operating rooms, the use of data to measure the impact of standardized surgeon attire on infection rates resulted in a significant drop in those rates. The infection control scenario is just one result from decades of work at Intermountain to build a data culture. Over the years, clinicians have learned to work together on a concerted effort to bring data based insights to clinicians and managers.

data-meritocracy-1200
Free Article

The New Data Republic: Not Quite a Democracy

There are clear signs that the movement to democratize data is making real progress. Barriers such as infrastructure, culture, tools, and governance that once kept data access limited are quickly eroding. But access to data isn’t enough: Data democratization also requires knowing how to work with data and understand data analysis tools and techniques. Without these capabilities, the data democracy is only an illusion — and most people are still unable to participate fully.

BaasHouse-1200

At This Education Nonprofit, A Is for Analytics

In an interview with MIT Sloan Management Review, Christopher House CEO Lori Baas and director of quality assurance Traci Stanley explain how they're using data throughout their educational organization to track student outcomes and look for improvements. "We now can show, based on the assessments, not only how our kids are improving in their cognitive development, or social-emotional development, but also how we compare to similar organizations," says Bass.

Cathay-1200

Innovating with Airborne Analytics

Hong Kong’s premier airline is using a blend of data and know-how to guide its daily operations. In an interview with MIT Sloan Management Review, Cathay Pacific CIO Joe Locandro describes how the airline uses analytics to make decisions that balance data with what it knows from the field. “Analytics will give you statistical spreads, give you training, but you still need to have this thing called experience and insight,” he says.

IMH2-1200
Free Article

When Health Care Gets a Healthy Dose of Data

American health care is undergoing a data-driven transformation — and Intermountain Healthcare is leading the way. This MIT Sloan Management Review case study examines the data and analytics culture at Intermountain, a Utah-based company that runs 22 hospitals and 185 clinics. Data-driven decision making has improved patient outcomes in Intermountain's cardiovascular medicine, endocrinology, surgery, obstetrics and care processes — while saving millions of dollars in procurement and in its the supply chain. The case study includes video clips of interviews and a downloadable PDF version.

advertisement

DA-webinar-2015-1200

The Analytics Talent Dividend

In May 2015, co-authors Sam Ransbotham, David Kiron and Pamela Kirk Prentice presented the findings from the recent global sustainability study, “The Talent Dividend.” The study found that the integration of analytics talent into the organization is key to analytics success. The webinar speakers discuss the components of a human resources plan for analytics talent, and give guidance on how to implement that plan in your organization.

DA-Talent-featured-1200

On the Care and Feeding of Your Analytics Talent

A panel of experts discusses the challenges of finding, engaging and organizing data scientists for best results. They talk about how to support your data scientists and keep them engaged in the right kinds of tasks and how to integrate new talent into your existing data and analytics team. They also talk about the skills and traits to look for when recruiting and selecting your data/analytics team, and how to assess existing internal talent for data roles.

Fleener-1200

General Mills Builds Up Big Data to Answer Big Questions

General Mills brought a data scientist into its Consumer Insights group because it wanted to use its existing data more effectively. The company thought it was making decisions based too much on outside data at the expense of what it knew. But figuring out what the company actually knew about its consumers was the challenge facing Wayde Fleener as he came on board. In an interview with MIT SMR’s Michael Fitzgerald, Fleener talks about how he got started in building a Big Data practice within his division.

RansbothamQuestion-1200
Free Article

Participant Questions from the Recent Data & Analytics Webinar

On May 7, 2015, we held a free, live webinar to share the findings and insights from the latest MIT Sloan Management Review Data and Analytics Big Idea Initiative research report, “The Talent Dividend.” The report presents our findings on the role of analytics talent in creating competitive advantage. At the end of the webinar, many participants asked questions. Unfortunately, we didn’t have time to answer them all during the webinar itself. So instead, we’ll answer some of the questions this month, and some next month.

Chako-1200

Coca-Cola’s Unique Challenge: Turning 250 Datasets Into One

At The Coca-Cola Company, one of the big challenges is how to understand customers who are a long pipeline away in the inherently intermediated world of hundreds of Coke bottlers. That means moving toward newer technologies to do more forward-looking analytics versus backward-looking analytics, says the company’s Remco Brouwer and Mathew Chacko.

advertisement

Dvidend-1200

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. This fifth annual survey of business executives, managers and analytics professionals from organizations located around the world captured insights from 2,719 respondents. It finds that organizations achieving the greatest benefits from analytics are also much more likely to have a plan for building their talent bench.

stars-aligned-1200
Free Article

Once You Align the Analytical Stars, What’s Next?

You’ve figured out how to get the data, and how to make sure it’s good quality. You’ve hired the right people to put your data through the analytics wringer. Now you’ve got the results in your hands &mdash and you may not be sure what to do next. Consuming analytics effectively — and getting business value out of your analytics — is a challenge for many companies, and executives must get creative to increase their comfort level.

Ransbotham-1200

Minding the Analytics Gap

While analytical skills are improving among managers, the increasing sophistication of analyses is outpacing the development of those skills. The resulting gap creates a need for managers to become comfortable applying analytical results they do not fully understand. A 2014 survey by MIT Sloan Management Review, in partnership with SAS Institute Inc., highlights the ways that companies can address this problem by focusing on both the production and consumption sides of analytics.

Image courtesy of Wal-Mart.

Sustaining an Analytics Advantage

Many companies have maintained a competitive advantage through analytics for many years — even decades. Those companies include Wal-Mart, ABB Electric, Procter & Gamble, American Airlines, and Amazon. Peter C. Bell (Ivey Business School) writes that "research over a 30-year period suggests that there have been five basic ways in which companies have sustained an advantage generated through analytics." Tactics include keeping your company's analytics secret and applying analytics to the right problems.

advertisement

luchese-1200-3

Analytics in E Major

The Echo Nest, a self-described “music intelligence” company recently acquired by Spotify, uses machine-learning technology to connect people with music. “At our core,” says CEO Jim Lucchese, “what we’re trying to do is what a great deejay does, or the friend that you rely on musically: to better understand who you are as a fan.” In a Q&A, Lucchese describes how the company merges machine learning and cultural analytics to describe music in an analytics-friendly way and help users find new music they’ll enjoy.

DataWoman-1200
Free Article

Are Data Scientists Really a Breed Apart?

What differentiates data scientists from other quantitative analysts? It's partly their skill set and partly their mind set. “The recent emergence of the digital enterprise has created a seemingly insatiable management appetite to amass and analyze data,” write Jeanne G. Harris and Vijay Mehrotra. Data scientists are particularly able to make sense of so much information. For instance, 85% said their projects often or always address new problems, compared to 58% of analysts who made that claim.

BeanIoT-1200
Free Article

If You Think Big Data’s Challenges Are Tough Now

Although workers and consumers generate two-thirds of all new data, that’s about to change. Sensors and smart devices — from traffic lights and grocery store scanners to hospital equipment and industrial sensors — are beginning to generate an enormous wave of data that will increase the digital universe ten-fold by 2020. Guest blogger Randy Bean, CEO of NewVantage Partners, explains what this means for executives trying to adapt to a rapidly changing, data-centered business environment.

RansbothamDetecting-1200
Free Article

Detecting Bias in Data Analysis

Data analysts may have external agendas that shape how they address a data set — but Boston College's Sam Ransbotham argues that a savvy manager can identify biases by learning to question the underlying assumptions that go into dataset cleanup and presentation.

Campisi-1200

Gone Fishing — For Data

When you’re dealing with data on the massive scale that a company like GE uses, a data warehouse just isn’t big enough to house it all. And organizing it ahead of analysis is more of a burden than a help. GE’s CIO Vince Campisi explains to MIT Sloan Management Review why his company is now storing data in a data lake — and how that approach changes the kind of human resources his company is looking for.

Showing 1-20 of 162