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January 2013 Blog Posts (33)

18 great articles from top news outlets

Our selection of top big data, data science and business articles published over the last 30 days, in the New York Times, Forbes, MIT, HBR, Information Week, DataScienceCentral, Gigaom etc.

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Added by Vincent Granville on January 8, 2013 at 8:00pm — No Comments

Webcast: Marketing Attribution in a Big Analytics World

Marketing Attribution in a 

Big Analytics World…
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Added by Vincent Granville on January 8, 2013 at 2:00pm — No Comments

Top 5 Opportunities & Challenges in Big Data/Analytics Adoption for 2013

As we head into 2013, I thought it would be appropriate to compile a list of Top 5 Opportunities & Challenges in Big Data/Analytics that B2C online businesses and enterprises should address. To build this list, I used the Top 10 business and technology priorities presented by two of the biggest market research firms – Gartner and IDC for 2013 as the backdrop.

So here we go……

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Added by Balu Rajagopal on January 8, 2013 at 10:00am — No Comments

Data Science Central / AnalyticBridge Update

Many great articles have been posted on DataScienceCentral.com and AnalyticBridge.com over the holidays. Most recently, I posted these two articles:…

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Added by Vincent Granville on January 7, 2013 at 10:30am — 1 Comment

Big data startup to fix healthcare

The problem:

  • The cost of healthcare in US will go up for everyone, as employers will pass the buck to employees and the uninsured will have to pay.
  • Even standard procedures have high price volatility. If you ask…
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Added by Vincent Granville on January 6, 2013 at 9:30pm — 9 Comments

Data Mining and Airline Safety

In today's post, we examine the use of data mining to improve airline safety.  Over the past several decades, air travel has become, statistically, one of the safest modes of transportation.  In the following chart, you will observe that there has been a substantial decline in the fatal accident rate from 1950 through about 1980, even though the actual number of departures has increased significantly:…



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Added by Venky Rao on January 6, 2013 at 6:11pm — No Comments

Database Revolution - The Future of Information Publishing

Here’s a brilliant presentation from Mike Bowers, Principal Engineer at the Church of Jesus Christ of Latter Day Saints.  It accomplishes two major objectives; Mike reviews the strengths and weaknesses of the five major classes of databases today (relational, dimensional, object, graph and document).  He then dissects the major NoSQL databases on the market including MarkLogic, Mongo, Riak, Cloudant/Couch DB and Cassandra.  How do they stack up? Are they enterprise ready?  If developer…

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Added by Tony Agresta on January 4, 2013 at 10:20am — No Comments

High crime rates explained by gasoline lead. Really?

Crime rates in big cities (where gasoline concentration is high) peaked about 20 years after lead was banned in gasoline, according to an econometric study by Rick Nevin. The 20 year time lag being the time elapsed between lead exposure at birth, and turning into a 20 year old criminal.

At least, that's the argument proposed…

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Added by Vincent Granville on January 3, 2013 at 10:00pm — 6 Comments

The Curse of the Bell Curve Part 1

The ‘Bell curve’ or the ‘Gaussian bell curve’ is one of the fundamental concepts on which most of the statistical analysis is based. From social sciences to astronomy to financial services- most of the application of statistics in the real world relies on the assumption that the data being analysed is distributed in…

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Added by Gaurav Vohra on January 3, 2013 at 8:30pm — No Comments

5 Disuptive Health Care Big Data Use Cases

Health care is ripe for Big data disruption because of 3 reasons

Reason-1 : It has large pools of  untapped data pools which are not “juiced” for patient care intelligence
Reason-2 : Healthcare is definitely ripe for disruption using advanced data analytic
Reason-3 : The outcomes of disruptive transformation touch people in a very human way
In this blog we will share 5 sample use…
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Added by derick.jose on January 3, 2013 at 7:59pm — 1 Comment

Big Data Social Network Analysis fuelling Marketing improvement

 

A social network is a social structure that links actors (individuals and organizations), and highlights how actors are connected, from a simple relationship to family ties. We are all part of many networks that correspond to the dimensions of our life (family, study, work, leisure activities). Our membership, our activities, our place in these networks are for marketers a valuable source of information, knowledge and opportunities for actions to promote their offers, according to…

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Added by Michel Bruley on January 2, 2013 at 11:08pm — No Comments

Sample: Too Big to Ignore

Too Big to Ignore

My publisher (John Wiley & Sons) is allowing me to make the 28-page Introduction of Too Big to Ignore available for free download. The Introduction provides the structure for the rest of the book and details a few interesting ways in which organizations are utilizing Big Data.…

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Added by Phil Simon on January 2, 2013 at 2:30pm — No Comments

Big Data Platforms as a Service

Big Data Platforms as a Service (PaaS) lets an organization take advantage of a service providers compute power, analytical tools, store as…

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Added by Michael Walker on January 2, 2013 at 8:46am — 1 Comment

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