Srikanth S Sampara
 CEO – Tuple Technologies Pvt. Ltd.
 
Srikanth founded Tuple Technologies in early 2008 after more than a decade of experience in this field with various companies including IBM Consulting, Kanbay Software, iGate Global Solutions etc. He is passionately interested in Business Analytics with special emphasis on Data, Text and Web mining technologies and algorithms. He has also had a stint with a VC firm View Group – as Entrepreneur in Residence to start an Analytics company.

Prof S Sadagopan
Founder Director
International institute of Information Technology, Bangalore (IIIT-B) 

Prof. Sadagopan is the founder Director of IIIT-B from September 1999. He has taught at two premier educational Institutes in India, namely, the Indian Institute of Technology, Kanpur, (IITK) during 1980 - 1995 and the Indian Institute of Management, Bangalore, (IIMB) during 1995-1999.

 
 
     
 
Business Analytics
 
Latest Events
 

"Workshop on Methodologies for Effective Software Testing"
April 15-16, 2011 - Bangalore
 
 
 
 
Business Analytics Conference Agenda - Day2


Approaching Business Analytics

On Day-2, we do a deep-dive into the concepts and techniques of Business Analytics, so that delegates can understand these in-depth, and choose the right concept and the associated technique.

 

Day - 2
Time AM / PM Title Description

9.00 to 10.00

AM

Data Mining and Predictive Analytics

Introduces Key concepts of Data Mining and Data Mining Techniques (Classification & Prediction, Market Basket Analysis, Clustering).

10.00 to 10.30 

AM

Case Study

To be Announced

10.30 to 11.00 

AM

Text Mining

Brief introduction to Text Mining and Key Concepts in Text Mining and Semantic Text Analysis

11.00 to 11.30

AM

Coffee Break

 

11.30 to 12.45

PM

Web Mining

Web Usage Mining concepts and practical applications in business decisions.

12.45 to 1.00

PM

Case Study

To be Announced

1.00 to 2.00 

PM

Lunch Break

 

2.00 to 3.15 

PM

Building and Deploying a Predictive Model

Demonstrates hands-on on how to build and deploy predictive model with live data and business value. This session emphasizes the process of building a model and various pre-processing steps required in making the data ready for analysis.

3.15 to 3.30 

PM

Q&A

 

3.30 to 4.00

PM

Coffee Break

 

4.00 to 5.30 

PM

Panel Discussion

Competing on Decisions.

5.30 to 6.00 

PM

Conference Wrap-up

Next steps, follow-up, conference url etc.