With computers and global connectivity, everything we do has the potential to affect everyone else-- both negatively and positively.

Computer security is an example of largely negative impacts. Spam floods our inboxes. Crooks attack our computers within minutes of connecting to the Internet. Identity theft is rampant and personal privacy disappears along with our bank accounts. My infected computer makes you buy anti-virus software

But of course it isn't all bad. Mobile phones with email connect us with friends no matter where we or they are. Amazon reviews help us figure out what products to buy. Google and Wikipedia provide instant answers. Facebook connects us with friends-- and Twitter lets us know when they are brushing their teeth.

I like to study the influence of this evolving computer inter-connectivity on business, primarily through large scale data analysis. Here are some questions I am trying to figure out...

Security and Risk

  • Does installing a computer system create a "smoking gun" and make a hospital more likely to get sued? details...
  • Sure "with enough eyeballs, all bugs are shallow", but does having open source code make it easier for attackers? details...
  • Does paying people to find bugs in software do more harm than good? details...
  • ...and others

Emerging social, mobile, and grid computing

  • What do businesses like Starbucks gain from using Facebook and Twitter? details...
  • What make some Wikipedia pages more useful than others? details...
  • How are restaurant reviews different if they are fired off from a mobile phone while sitting in the restaurant? details...
  • ...and others

Strategic use of information technology

  • Do online auto auctions hurt or help physical auctions? details...
  • Should companies acquire technology startups early while they are risky but cheap or later when they are known but expensive? details...
  • When do startup biotech companies make more money from being acquired rather going public? details...
  • ...and others


The New Data Republic: Not Quite a Democracy 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.

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At This Education Nonprofit, A Is for Analytics At This Education Nonprofit, A Is for Analytics

Christopher House is a Chicago-based education nonprofit that prepares children and families from low-income households for success in life, in school and the workplace. Over the last 10 years, says CEO Lori Baas, the organization has focused on high-quality infant school, pre-school, early childhood education, elementary school, afterschool, and parent school programs, college and career readiness, and a commitment to using data at every step in every program along that continuum of education. In 2013, Christopher House opened an elementary school to expand the continuum of learning. Christopher House has an agency-wide database system to track student outcomes — data that’s used to assess programs and make program improvements.

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Commentary: ‘No Pain, No Gain’ in the Transition to Data-Driven Health Care Commentary: ‘No Pain, No Gain’ in the Transition to Data-Driven Health Care

My commentary on the "When Health Care Gets a Healthy Dose of Data" case study.

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On the Care and Feeding of Your Analytics Talent 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.

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Participant Questions from the Recent Data & Analytics Webinar 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.

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

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The Analytics Talent Dividend 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.

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The Talent Dividend 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.

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

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Minding the Analytics Gap 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.

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Internet of Things Webinar for MIT Sloan Management Review


Workshop for ISR special issue on Ubiquitous IT and Digital Vulnerabilities


Research presentation on corporate innovation contests at the SIM APC meeting


Business analytics executive education for Bank of America at Georgia Tech


Research presentation at the University of Minnesota


Industry-Academia Talk on Digital Transformation at the University of Minnesota



Analytics presentation for Mass Big Data Advisory Committee


Reserch presentation on innovation contests at MIT Initiative on the Digital Economy


Business analytics executive education for Bank of America at Georgia Tech


Mobile marketing presentation at UConn Global Marketing Colloquium


Business analytics executive education for General Electric at Georgia Tech


Security research presentation for Temple University


Panelist for the Digital Analytics Association


Security research presentation for Northwestern University


Security analytics presentation at the HIMSS Privacy & Security Forum


Business analytics executive education for Sylvania

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