Answer questions as fast as you can think of them with Tableau.

Born at Stanford and raised by a pack of wild PhDs, Tableau has best practices built right in. You get the benefit of years of research on the best way to represent data, from carefully optimized color schemes that tell clear stories, to built-in worldwide…

Originally published in Business Standard

Though big data and analytics is already a buzz word in business circles, it’s potential is continuously reaching out further to touch the everyday ordinary lives of the common people. Can you imagine using analytics to help your child decide their future? Well companies like IBM are…

In my previous post, we saw that R-squared  can lead to a misleading interpretation of the quality of our regression fit, in terms of prediction power. One thing that R-squared offers no protection against is overfitting. On the other hand, cross validation, by allowing us to have cases in our testing set that are different from the cases in our training set,  inherently offers protection against overfittting.

1.Do-it-yourself leave-one-out cross validation in R.

In this type…

Every month I see one or more new R based web server solutions coming into the market, sight seeing some of them thought of sharing one of my old architecture map manifested to the client long back in early 2009 (good to see quick spreading of scalable and customizable open source statistical computing tool in the market).…

Selected articles, blog posts and forum questions from DSC, AnalyticBridge, BigDataNews

• Extreme Data Science…
  
  

Propensity Score Matching is a statistical matching technique that attempts to estimate the effect of a treatment, policy or other intervention by accounting for the covariates that predict receiving the treatment. It helps to reduce bias due to confounding and can be used to estimate the counterfactual outcome.

For example, many of you will have been to a particular university or school and achieved a certain…

By Ian Morton. Ian worked in credit risk for big banks for a number of years. He learnt about how to (and how not to) build “good” statistical models in the form of scorecards using the SAS Language.

Read original post and similar articles…

Here's my rebuttal to this article published in Wired in 2008.

Vincent's rebuttal:

A lot can be done with black-box pattern…

R squared, also known as coefficient of determination, is a popular measure of quality of fit in regression. However, it does not offer any significant insights into how well our regression model can predict future values. Instead, the PRESS statistic (the predicted residual sum of squares) can be used as a measure of predictive power. The PRESS statistic can be computed in the leave-one-out cross validation…

This week we are happy to introduce and welcome our guest blogger Alastair Kane. Alastair is a freelance writer and has provided this article on behalf of Acxiom a company providing big data analytics services.In this post he talks about how Big Data can enhance Customer Experience.

What is Big Data, and why is it different from other data

As the world becomes…

A colleague of mine wanted to understand how to build predictive models, and asked if I had a strategy for building them. I thought it would be useful to share this. For more details about each stage see my personal blog (My suggested strategy for building a “good” predictive model).…

Here are the top 10, in alphabetical order. Wiley's full list mentions many interesting statistical blogs.

• The Analysis…

BI (Business Intelligence) refers to the intelligence and ability to enhance the enterprises competitiveness, involving report presentation, reporting result calculation, OLAP analysis, business data calculation, data mining and predication. Among these, there are both the technician-oriented high-level systems, and the business user-oriented agile desktop BI tools. In this post, we only talk about agile desktop BI…

One of the most popular application of predictive analytics is optimization of marketing campaign management. I've implemented it several times for clients in four different industries and here is my solution.

Introduction to campaign management

Marketing departments are usually responsible for management the marketing campaigns. Campaigns always have some triggers - may be planned, triggered by customer events and various alerts. Campaigns are run for a…

Announcements and articles from the last couple of days:

• Viral program for data science authors and bloggers - Read updated version.…

By now you are probably familiar with the business value analytics can provide in a myriad of business contexts. If not, you’ll want to read The Value of Business Analytics by Evan Stubbs as it’s one of my favorite analytics books for the business community.

One opportunity that cuts…

Many of Jigsaw’s students join our various courses because they can hear the rising crescendo within the analytics industry. They yearn to be a part of this challenging and exciting career, one that is fast paced, has rich monetary returns and can fast track your career path. For those of you out there, who also have such dreams, are you skeptical and nervous because you have no previous experience in analytics? Well, be reassured, many have walked a similar path. Having no previous…