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


Short on Analytics Talent? Seven Tips to Help Your Company Thrive

Short on Analytics Talent? Seven Tips to Help Your Company Thrive
Companies are having a tough time finding the data scientists they need — they just aren’t being trained fast enough to meet market demand. While it may be challenging to keep ambitious analytics projects in development without employees with the necessary skill sets, that doesn’t mean those projects need to halt altogether. Sam Ransbotham offers seven tips for making progress when you don’t have enough analytics talent on board.

Analytical Value From Data That Cries Wolf

Analytical Value From Data That Cries Wolf
It’s a common assumption: errors and biases in a data set mean the data is useless. Not so fast, says Data & Analytics expert Sam Ransbotham — even data with less-than-great accuracy has its uses, if you understand how to parse it. His blog post explains how to make sense of uncertainty, and how tradeoffs between accuracy and breadth in a data set can better inform your decision-making process.



Internet of Things Webinar for MIT Sloan Management Review


Presenting research on corporate innovation contests at the SIM APC meeting



Analytics executive education for Ulster


MIT Sloan Management Review published my commentary on their WellPoint healthcare analytics case


Talked about information disclosure at MIT CISR


Spoke at Marketing Science Institute event on Data and Analytics


NSF CAREER Award for analytics and security data


Panelist for "Big Data: Fact or Fiction" at the Boston College East Coast Tech Council


Young Researcher Award (with Eric Overby and Mike Jernigan) at the Workshop on Health IT Economics for research on IT and medical malpractice


Presented at the Center for European Economic Research (ZEW) workshop on user behavior and content generation on Wikipedia


Best Conference Reviewer INFORMS Conference on Information Systems and Technology


Received 2013 Carrol School of Management Undergraduate Teaching Award

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