Data Intelligence, Business Analytics
Added by Sandeep Raut on December 26, 2011 at 10:03am — No Comments
If observations from a specific experiment (for instance, scores computed on 10 million credit card transactions) are assigned a random bin ID (labeled 1, ··· ,k), then you can easily build a confidence interval for any proportion or score computed on these k random bins, using the Analyticridge…Continue
By improving its search and relevancy engines, to include item price as a main factor. The type of optimization and ROI boosting described below applies to all digital catalogs. Here we focus on books.…Continue
The solution is simple: leverage external data, and simplify your predictive model.
Back in 2000 I was working with GE's analytic team to improve sales forecasts for NBC Internet, a web portal owned by NBC. The sales / finance…Continue
The credit card transaction described here in details is a real example of a fraudulent transaction performed by organized criminals, undetected by all financial institutions involved, and very easy to detect with simple text mining techniques.
It was not caught by any of the financial…Continue
Added by Vincent Granville on December 21, 2011 at 1:08pm — No Comments
Added by Vincent Granville on December 20, 2011 at 1:12pm — No Comments
Hiring managers always assumed that I was a very detailed-oriented person. It turns out that this is not the case: I'm certainly a very analytic person, yet I always think "big picture", and everybody who knows me well would say that I am everything but detail-oriented.…
According to the recent landmark McKinsey Big Data study, by 2018 one in two US jobs requiring deep analytical skills will go unfilled, and there will also be an under-served demand for 1.5 million business managers and analysts “who can ask the right questions and consume the results of the analysis of big data effectively.”
McKinsey and others see it…Continue
Added by Vincent Granville on December 15, 2011 at 7:29pm — No Comments
Added by Vincent Granville on December 15, 2011 at 3:30pm — No Comments
The strategy is very easy to describe:
1. Divide the domain of your function in k sub intervals.
2. Initialize k monomials;
3. Consider the monomials as centroids of your clustering algorithm.
4. Assign the points of the function to each monomial in compliance to the cluster algo.
5. Use the gradient descent to adjust the parameters of each monomial.
6. Go to 4. until the accuracy is good enough.
Read the entire post at:…Continue
Added by Cristian Mesiano on December 15, 2011 at 11:00am — No Comments
Correlation may not imply causation, but it sure can help us insinuate it.
Jason Averbook, CEO of Knowledge Infusion has written many interesting and provocative blogs that challenge HR to embrace data by “doing the dirty work.” If you haven’t already, be sure to subscribe to the Knowledge Infusion…Continue
Added by Mike Kennedy on December 12, 2011 at 1:32pm — No Comments
By Rajeshekara V. Maiya, Infosys.
Each year, we add two billion hexabytes (that’s two billion billion bytes) of data just in social conversation. American companies, across 15 sectors, with more than 1,000 employees each store on an average more data than the U.S. Library of Congress.
Move over, Information Age, the era of big data…Continue
Added by Vincent Granville on December 12, 2011 at 4:46pm — No Comments
November 7, 2011
How companies are achieving competitive advantage through analytics
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Added by Vincent Granville on December 12, 2011 at 12:33am — No Comments
HOPKINTON, Mass., Dec. 5, 2011 -- EMC Corporation today unveiled the findings of the largest-ever global survey of the data science community. Spanning the United States, the United Kingdom, France, Germany, India and China, the EMC Data Science Study reveals and quantifies a rampant scarcity across the globe for the prerequisite skills necessary for a company to capitalize on the opportunities found at the intersection of Big Data and data analytics. Only one-third of companies are…Continue
Added by Titus on December 11, 2011 at 11:49pm — No Comments
Turbo Mapreduce (Or How to Run Sawzall on 1 Terabyte of Text in 7 Seconds)
By Silvius Rus, on behalf of the Cluster Team at Quantcast
A few weeks ago I was talking to our CTO. I was looking for wisdom on how to convince Java users to start programming in a new language. We had just ported Sawzall, a highly productive mapreduce language from Google, to run on our proprietary Mapreduce cluster based loosely on Hadoop. Even though Sawzall…Continue
Added by Titus on December 11, 2011 at 11:50pm — No Comments
A new affordable Springer_Briefs book "Healthcare Management Engineering: What Does This Fancy Term Really Mean? The Use of Operations Management in Healthcare Settings" is now…Continue
Added by Alexander Kolker on December 11, 2011 at 11:48am — No Comments