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To Recruiters and hiring managers: important notice

Job ads posted on our sister website AnalyticTalent can be posted on AnalyticBridge as well as on our three LinkedIn groups:

  • Advanced Business Analytics, Data Mining and Predictive Modeling - …

Added by Vincent Granville on July 22, 2012 at 4:00pm — No Comments

What's The Difference between Data Scientists and Rocket Scientists?

This post was written by Greta Roberts, CEO, Talent Analytics, Corp. on 18 July 2012. Please comment below!

After attending several analytics conferences over the last month, I’m beginning to understand an important nuance about the community we call “analytics” worked by “analytics professionals” or “data scientists.”  It seems as if the defining boundary of our discipline is almost always that we data scientists apply ourselves…


Added by Mike Kennedy on July 18, 2012 at 12:30pm — No Comments

How to Develop Big Data Solutions with Apache Hadoop

Webinar: How to Develop Big Data Solutions with…


Added by Vincent Granville on July 18, 2012 at 9:33am — 1 Comment

Announcing Datastream: The Official Greenplum Blog

Announcing the debut of Datastream, Greenplum's official blog, delivering analytics news and exploring emerging data science trends. 

We live in a Big Data world, and the data scientist is at the center. Datastream shines a spotlight on the data scientists, practitioners, and innovators who are reaping…


Added by Vincent Granville on July 18, 2012 at 8:52am — No Comments

How do I update my resume on AnalyticTalent? is now If you posted your resume on or emailed your resume to Vincent Granville for posting on, you can now check or update your resume on our new website -…


Added by Vincent Granville on July 17, 2012 at 9:15pm — No Comments

Data Science Central Launches Big Data Job Board

Data Science Central Launches Big Data Job Board at

Specialized job board for active and passive job candidates identifies the best opportunities for data scientists, data analysts, statisticians, data engineers, and business analysts.

Data Science Central has launched a new…


Added by Vincent Granville on July 17, 2012 at 8:43am — No Comments

3 Game Changing Big Data Use Cases in Telecom

Like many industries the Infrastructure/Security/Compliance function within large telecom companies is becoming more data driven. Here are 3 powerful use cases which vividly bring out new possibilities in Telecom big data


Telecom use case-1 : Contact centre text mining and Telecom Bandwidth throttling…


Added by derick.jose on July 17, 2012 at 2:11am — No Comments

How to Analyze Data Without SQL Experience

“What is the sales value in this month? What is the increased percentage compared with the previous month? Which sales persons are among the top 10?” – The similar data analysis is mostly required in the sectors like commerce, finance, government, and scientific research. SQL usually is the only choice for such kind of analysis.

As a query language initially developed in early 70s, SQL has a relatively higher technical requirement on analysts. Lacking of…


Added by Daisy Ding on July 12, 2012 at 6:24pm — 3 Comments

Learn how ICA created the nation's leading Health Information Exchange

ICA is a leading provider of health information exchange solutions to bridge the gaps that exist between health care organizations. At the core of their solution is technology from MarkLogic. Enterprise Data Layer provides a unified view of all organizational data.…

Added by Vincent Granville on July 11, 2012 at 7:00am — No Comments

Data Science and Big Data Course from EMC

Big Data Analytics requires involvement of Data Scientists

"We live in a data-driven world. Increasingly, the efficient operation of organizations…

Added by Vincent Granville on July 10, 2012 at 12:16pm — No Comments

How to Solve Complex Computations in the Report

Reporting tool is good at chart & form design, style of landscaping, query interface, entry & report, and export & print. It is one of the tools that are applied most extensively. However, there are quite often complex computations in the report, which raises a very high requirement for technical capabilities of report designers, and is one of the biggest barriers in report design. This article will introduce to ways to solve the complex computations in the report.…


Added by Daisy Ding on July 5, 2012 at 5:23pm — 2 Comments

Interactive Analysis and Related Tools


Interactive analysis is a cycle analysis procedure of assumption, validation, and adjustment to achieve the fuzzy computation goal.

The interactive analysis is the real on-line analysis to solve the complex computation problem in the real world, and it is one of the key points in the business computation.

Example of Case

Let us explain the interactive analysis with a common example in the…


Added by Daisy Ding on July 5, 2012 at 1:06am — 2 Comments

Target's methodology for predicting which customers are pregnant.

The pregnancy story took a while to propagate, but, with its arrival in the NY Times Magazine, is now widespread.  What will the 2012 story be? 

Here at, we predict:

On June 26, 2012, Mei Mei Lim from Accenture described how Nokia Siemens Networks built a predictive model for rapid identification of churn "triggers."  The model lets a cell carrier take corrective actions and offer enticements…


Added by Janet Dobbins on July 4, 2012 at 9:30am — 1 Comment

What is real OLAP for practical use?

OLAP is an important constituent part of BI (business intelligence).

Understood literally, OLAP is online analytical processing, that is, users conduct analytical operation on real-time business data.

But, currently the concept of OLAP is seriously narrowed, and only it refers to operations such as conducting drilling, aggregating, pivoting and slicing based on multi-dimensional data, namely, multi-dimensional interaction analysis.

To apply this kind of…


Added by Daisy Ding on July 2, 2012 at 5:12pm — 2 Comments

Fraud detection in Medicaid / Medicare

Medicaid is a USA government run healthcare program for the poor, elderly and disabled, which is jointly funded by the states and the federal government

Medicaid has been the top priority on many state budgets. Considering the huge investments from both government as well as states, there are whole lot of malpractices to grab this money.
Experts estimate…

Added by Sandeep Raut on June 29, 2012 at 8:24am — No Comments

S3 instead of HDFS with Hadoop

In this article we will discuss about using S3 as replacement of HDFS (Hadoop Distributed File System) on AWS (Amazon Web Services), and also about what is the need of using S3. Before coming to original use-case and performance of S3 with Hadoop let’s understand …


Added by Rahul Patodi on June 27, 2012 at 9:07pm — No Comments

The Fallacy of the Data Scientist Shortage

There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.

On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:




Added by Neil Raden on June 27, 2012 at 10:00am — No Comments

Ford Opens Silicon Valley Lab to Mine Big Data | Wall Street Journal

Getty Images
Ford Motor Co. CEO Alan Mulally, left, and chairman William Ford.

Ford officially…


Added by Vincent Granville on June 26, 2012 at 7:38pm — No Comments

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

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