GSIB Web Analytics & Machine Learning by Ram Mukkavilli
description
Transcript of GSIB Web Analytics & Machine Learning by Ram Mukkavilli
Driving Digital Excellence
Srinivas Kilambi, Founder & [email protected]
Seetharam Mukkavilli, [email protected]
WEB ANALYTICS
Why do we need it?
What can we do with it?
What is it?
: https://commons.wikimedia.org/wiki/File:Basic_Steps_of_Web_Analytics_Process.png(CC BY-SA 4.0)
eCommerce
Projected to be > $100 billion in next 5 years(ASSOCHAM-PWC study)
Reaching the consumer
Explosion of data
MACHINE LEARNING
Why do we need it?
What can we do with it?
What is it?
Science of constructing algorithms that can learn from and make
predictions on data
Some examplesGoogle search
Spam detectionCredit Card Fraud…And many more..
DATA ALGORITHM
PREDICTIONNEWDATA
Simple Structure of an ML Algorithm
RESULTS IN NEW CLASSIFICATION
SriyaMLXi Highly Confidential 9
A good online user experience can make a difference between a businesses success and failure.
Current day analytics are complex, and require expensive data analysts to figure them out. Identifying areas of improvement takes more than smart analytics.
Current State:
SriyaMLXi Highly Confidential 10
A tool that crunches complex digital data into simple, easy to use indices.
Welcome to DXi, a breakthrough approach to measuring digital experience (DX).
DXi + Machine Learning = Dxi+ = Pointer Solution = Prescriptions + Predictions
Proposed Solution: