Editor’s Choices for Week Ending Aug 3, 2012
Article of the Week
How ‘Big Data’ Is Different (MIT Sloan Management Review)
Big Idea: These days, lots of people in business are talking about “big data.” But how do the potential insights from big data differ from what managers generate from traditional analytics? Organizations that capitalize on big data stand apart from traditional data analysis environments in three key ways:
- They pay attention to data flows as opposed to stocks.
- They rely on data scientists and product and process developers rather than data analysts.
- They are moving analytics away from the IT function and into core business, operational and production functions.
Article of the Week
Prepared Minds

Big Idea: These days, lots of people in business are talking about “big data.” But how do the potential insights from big data differ from what managers generate from traditional analytics? Organizations that capitalize on big data stand apart from traditional data analysis environments in three key ways.
MIT Sloan Management Review
July 30, 2012
Editor’s Choice Articles
Using Social Media to Test Your Idea Before You Try to Sell It (NYTimes)
Big Idea: Big corporations are replacing focus groups with social media, but small businesses can use social media for market research, too. Several small companies share their experiences with Facebook, Twitter, and Google+.
Do Books Need a Beta Version? Analytics For Books Pave The Way (Fast Company)
Big Idea: Hiptype’s analytics tool for e-books lets publishers build books like software – mimicking the analytics capabilities available to Internet publishers, Television, and Mobile Apps.
Big Data Mining Shift: From Mining Transactions to Reverse-Engineering the Brain (Tibco Spotfire)
Big Idea: A useful list of the “top 5 big data sources”: Social Network profiles, Social Influencers, Activity-generated data, SaaS and Cloud applications, and Public data.
The Big Data Interview: Sanjay Mirchandani, CIO (SmartData Collective)
Big Idea: The CIO of EMC Corporation offers some interesting insights to the world of Big Data, and a few “how-to” examples that are enlightening and useful.
