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Your credit card purchases mined by insurance companies | The Economist

To determine your premium. They check if you regularly purchase cheese burgers, cigarettes, alcohol etc.

A SWISS life-settlements firm called Rigi Capital Partners (RCP) recently considered buying the life-insurance policy of an elderly woman apparently suffering from dementia. RCP would take over payment of the policy premiums and receive the full death benefit when she passed away. Her medical records revealed that she had…


Added by Vincent Granville on June 26, 2012 at 7:37pm — 1 Comment

Finding the value

In most cases with Big Data projects you have to ingest 6-10x more data than has any immediate value just to start and glean value. This creates a large volume of data with no apparent value, and sometimes it is a long time before there is any value if ever. This creates a large expense and a lot of issues for entry, which has derailed  a number of big data projects. So be prepared going in that unless you really know your data you will need to ingest and explore to find the value. When you…


Added by Eddie Satterly on June 25, 2012 at 5:42pm — 1 Comment

5 Specific Questions to ask before embarking on a Big Data Project

When an organisation embarks on a Big Data project, it’s a journey laden with lots of landmines. Even if one is unable to manage one risk, it has the potential to derail a Big Data project even if one was able successfully evade other risks. As they say “A chain is as strong as its weakest link”. So what are the weak links in a Big data project? What are the 5 key questions to ask before embarking on a big data project so that one is able to mitigate the risks from these weak links and steer…


Added by derick.jose on June 19, 2012 at 12:46am — No Comments

Less data, more insight, better decisions

Big Data can help in mapping and understanding customer behaviors, and in developing one-to-one marketing programs or innovative services. However, Big Data is too often presented as a technological capability subsequently requiring armies of data scientists to mine and analyse data.

Yes, managing and exploiting the growing amount of internal and external data is a necessary condition to steer business performance. But it is far from a sufficient condition.

In a recent meeting…


Added by Patrick Glenisson on June 16, 2012 at 6:53am — No Comments

Advanced Analytics with Acceptable Runtimes


Added by Vincent Granville on June 12, 2012 at 7:36pm — No Comments

The Power of Cross-Functional Predictive Analytics (DataScienceCentral Webinar - June 27)

Join us for a Webinar on June 27
Space is limited.

Reserve your Webinar seat now at:…


Added by Vincent Granville on June 12, 2012 at 7:30pm — No Comments

Business case or Business phrase for BI ?

Past week I attended a Marketing colloquim where I was invited as a panel member to discuss the new realities of marketing performance and metrics. What struck me was the growing importance of Data across sectors and company size. But aside from the consensus that existed on the importance of Data in defining, adapting and evaluating go-to-market approaches,  there were a multitude of opinions on how to realise this – in particular on the amount  of technology investments…


Added by Patrick Glenisson on June 4, 2012 at 9:10am — No Comments

10 Digital Big Data Use Cases

Curating use cases from big data seems to be more of an art than a science. Wanted to share 10 big data use cases specifically unearthed in the digital side. Here they come

1.Personalized recommendations using collaborative filtering
2.Queen bee targeting using graph analysis
3.Sentiment Analysis using text mining
4.Champion challenger A/B testing digital features
5.Key outcome Digital Sequence analysis
6.Algorithmic calculation…

Added by derick.jose on May 31, 2012 at 7:55am — 1 Comment

Telecom : 4 Steps to build a Network Graph in Hadoop


Extract CDR information and summarize it for each unique combination of caller and called number


For each caller and called number, count the frequency of calls made, the number of smses sent, the number of prime time calls etc


Use this model to develop call behavorial profiles to target . Example : Friends and families program

Step-4 :

Interrogate the social network database for specific…


Added by derick.jose on May 31, 2012 at 4:12am — No Comments

Successful Text Analytics Case Studies


I thought you would appreciate some more information about the annual Text Analytics Summit (June 12-13, Boston), featuring fascinating case studies from NASA, AMEX, eBay,, Disney, National Archives, Fidelity Investments and many more.…


Added by Vincent Granville on May 30, 2012 at 6:00am — No Comments

Understanding Analytics Professionals: Participate in the IIA/Talent Analytics Study

Big Analytics Conference Boston 2012 Several members of the Talent Analytics team had the opportunity to attend Teradata's Big Analytics Conference in Boston on May 22. With a great speaker lineup, the educational and networking event offered both a technical and digital marketing track that covered the latest advancements across the big analytics ecosystem and highlighted how data-driven products and…


Added by Mike Kennedy on May 28, 2012 at 4:30am — No Comments

Deploy Hadoop Cluster

Step by Step Tutorial to Deploy Hadoop Cluster (fully distributed mode):

Setting Hadoop in cluster requires multiple machines/nodes, one node will act as master and rest all will act as slaves.
If you want Hadoop quick introduction please click here.
If you want to setup hadoop in pseudo distributed mode please …

Added by Rahul Patodi on May 25, 2012 at 8:36am — No Comments

Warranty Analytics - Increase Product quality, Customer satisfaction & Brand perception

As a customer, when you buy any home appliances like TV, AC, Refrigerator, Home Theatre or a brand new car, you get a company warranty along with it. This is the commitment from the manufacturer that if any problem arises in the product or spare parts within the warranty period, then company will repair or replace it free of cost. 
Industry numbers shows that…

Added by Sandeep Raut on May 24, 2012 at 5:00pm — No Comments

US Training for RapidMiner and RapidAnalytics


We are happy to announce a great opportunity for starting with data mining or optimizing your data mining skills with the open source software RapidMiner: In June 2012, Rapid-I will provide a one…


Added by Vincent Granville on May 24, 2012 at 2:30pm — No Comments

J. Edgar and analytical leaders

Recently, I saw Clint Eastwood's latest biography, J. Edgar - depicting J. Edgar Hoover, founder of the FBI.
In several respects, the movie reminded of the challenges analytical manager faces in driving impact and results in their business environment. 
Contrary to what I believed the FBI grew quite organically (as opposed to a  top-down strategic imperative), - born out of initial success to dismantle a domestic 'communistic' group organising armed attacks on…

Added by Patrick Glenisson on May 24, 2012 at 8:52am — No Comments

History about 24 analytic software over the last 30 years

Here are Wikipedia links. Follow them to read about the history of these analytic companies and software over the last 30 years

  1. Greenplum -…

Added by Vincent Granville on May 17, 2012 at 4:30pm — 5 Comments

15 great data science articles from influential news outlets

This is our third post in our series of "great articles". For each article, click on the link after the title to read the full story.

1. How Big Data Will Disrupt the $9 Billion Music Publishing Rights Business - …


Added by Vincent Granville on May 16, 2012 at 8:55pm — No Comments

Big Data Will Make IT the New Intel Inside

Tim O’Reilly famously declared in 2005: “Data is the next Intel Inside.” It well may be that big data—the organizational skill of using data as the key driver of performance—will make the IT function the new Intel Inside, the most strategic component of any organization.

Based on the success of Google, Amazon, and eBay at the time, O’Reilly correctly asserted that database management was a core…


Added by Gil Press on May 15, 2012 at 1:29pm — No Comments

Understanding the Reality of Real-Time Analytics


Added by Vincent Granville on May 15, 2012 at 10:30am — No Comments

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