Editor’s Choices for Week Ending Mar 9, 2012

Editor’s Choices for Week Ending Mar 9, 2012

Posted by: on Mar 12, 2012 | No Comments

Article of the Week
Data in a human context (FlowingData) – video
Big Idea: A data artist in residence at The New York Times, speaks about the connection between the real world and the mechanical bits we know as data. Especially interesting are his background stories and connections between aesthetically-pleasing visualization tools and the people and situations that are being analyzed.  Adding the “human context” can change the way the results are interpreted.

Article of the Week

Prepared Minds  

 

 

Data in a human context

By Jer Thorp (New York Times)

Big Idea: A data artist in residence at The New York Times, speaks about the connection between the real world and the mechanical bits we know as data. Especially interesting are his background stories and connections between aesthetically-pleasing visualization tools and the people and situations that are being analyzed.  Adding the “human context” can change the way the results are interpreted.

FlowingData

March 6, 2012

Editor’s Choice Articles
New Big Data Applications (SmartData Collective)
Big Idea: A short but thorough piece on the anticipated size of the Big Data market ($50 billion in 5 years) with some examples of applications and tools that will contribute to that market size.

How startups can hack the PR machine (Gigaom)
Big Idea: A great case study on the specific actions a small company can take to generate press coverage without breaking the budget.

ROI on Analytics – Now We Have Numbers (Business Analytics 3.0)
Big Idea: And interesting explanation of a metric – Cycle Time to Information (CTI) – that can measure the efficiency of a Business Analytics infrastructure and contribute to the calculation of ROI for a business analytics project.

Spend BI and Analytics (Business Analytics 3.0)
Big Idea: The Procurement function lends itself to analytics, due to the linkage to cost control and the large amounts of spend at big companies.  This article provides a framework and an initial set of questions for tackling this area.

Big Data Blasphemy: Why Sample? (SmartData Collective)
Big Idea: A strong opinion against the latest trend to ignore sampling and simply analyze all the data – sampling still matters!

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