Vision: Empowering clients to make scientific, data driven decisions.

Mission: To create decision enabling tools, which combine the power of predictive analytics and the latest technology, and enable the user to make the right decision at the right time with the right data.

Headquartered in Kolkata, SIBIA founded by Angshuman Bhattacharya is an up and coming marketing and consumer analytics venture…

Technology Considerations before choosing the right technology:

1. Size: the volume of raw data the technology can load and digest

2. Speed: how fast the technology updates and calculates data

3. Scalability: the technology’s ability to handle increasing workloads

What Impacts Data Size

• The primary storage device (HDD, SSD, RAM)

• Addressable memory space (64-bit vs. 32-bit)

• How much historical data is available

• How many…

The business spreadsheet software is widely welcomed by business users for its simpleness and ease of use. However, there are some common calculations which are still tough for spreadsheets to solve, such as the year-on-year basis and link relative ratio.



Take the sales…

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…

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…

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…

Data is being collected everywhere around us. This data is analyzed and used to impact B2C and B2B markets in traditional and nontraditional sectors in ways we never imagined. Indeed Analytics has proven itself to be an essential tool for any organization, influencing every decision and impacting every stakeholder.

But what exactly does this big Analytics boom mean for India specifically? Well the outlook is extremely bright and here is just why:…

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…
  
  

The business computing always occurs in enterprises, which plays an important role in enterprises operations, and mainly handled by the business users. The key business computing is usually characterized with timeliness and weak predication. There is no ready answer in the ERP, CRM, and other business systems. For example, find out the materials whose inventory level is below the warning limit for 3 consecutive days in the recent 2 weeks. Among those materials, which are used to produce the…

This week we are proud to feature another bright student of ours who, with hard work and determination, translated her dreams of being a data analyst into reality. Fully realizing the potential of analytics in India, Smriti realized that the path to rich career growth lay in obtaining the skills that were in demand in the analytics industry.…

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…

Analytic Edge is a provider of high impact business solutions leveraging advanced analytics and technology. Headquartered in Bangalore, India, it is the brainchild of Santosh Nair. With over 12 years of experience in statistical modeling and advanced analytics consulting, Santosh and his team bring a refreshing and dynamic approach to their business. By integrating myriad sources and applying cutting edge…

Analytics can offer a key possibility identifying which products are sold together, because that information can be used to influence targeted communication efforts, store layouts, and in-store promotions.

Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.

 …

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

Vincent's rebuttal:

A lot can be done with black-box pattern…