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Indian Institute of Management Bangalore

Big Data and Applied Marketing Analytics Category Name


Venue : IIMB Campus
Last date for registration: 23 Nov, 2015
Start Date : 03 Dec, 2015
End Date : 05 Dec, 2015
Early Bird Discount Date : 12 Nov, 2015
Residential Fee(excluding GST) :  Rs. 65,000
Residential Early Bird Fee(excluding GST) :  Rs. 61,750
Non-Residential Fee(excluding GST) :  Rs. 57,500
Non-residential Early Bird Fee(excluding GST) :   Rs. 54,625

Big data refers to the ever increasing volume, velocity, variety, variability and complexity in the collected data. Most MBA students who go into management consulting or marketing positions will find themselves having to advise their firm on critical aspects related to product management, understanding customer behavior, and improving the performance of a product in the market. In today’s world all these need looking and analyzing large data, called Big data. Big data refers to the ever increasing volume, velocity, variety, variability and complexity.

For marketing organizations, big data is the fundamental consequence of the new marketing landscape, born from digital world we now live in. Think about the customer data collected today—online purchase data, click through rates, browsing behaviour, social media interactions, mobile device usage, geo-location etc. By combining expertise of big data with an integrated marketing analytics can make a substantial impact and reveal richer insights.

This course is for those who are using analytics or are intended to use for profession across various industrie

Prof Pulak Ghosh: Prof. Ghosh is a professor in Quantitative Methods & Information Systems at IIM Bangalore. He is Ph D. in Statistics, Oakland University, Michigan (2003), and B.Sc. & M.Sc. in Statistics, University of Calcutta (1998). He works in the domain of Big data, Machine learning, Marketing analytics, Business analytics, Banking analytics, Econometrics and Bayesian Statistics.

Prof Pulak Ghosh is a member of the Data Privacy Advisory Group of Global Pulse- the UN Secretary General’s Big Data Initiative. Ghosh, the only expert from India, along with international experts, will advocate responsible use of Big Data for sustainable development and humanitarian value creation. Prof. Ghosh is also an academic fellow at the Center for Advanced Financial Research and Learning of Reserve Bank of India, Advisor of analytics to the State Bank of India. He is recently named as the top 10 most influential analytics leader.

A judicious mix of lectures, class-discussions, research, cases, videos, and exercises will be used.

Programme Charges*

Residential: Rs.65,000/- (subject to availability of rooms on campus)

Non-residential: Rs. 57,500/-

Early bird cut-off date: 12-Nov-2015

Residential: Rs. 61,750/-

Non-residential: Rs. 54,625/-

Please Note * Please add service tax at prevailing rates to the programme fee. Group discount (10%) may be availed for a group of 5 or more participants from an organization for a programme, on upfront payment before the start of the programme.

All enrolments are subject to review and approval by the programme director. Joining Instructions will be sent to the selected candidates 10 days prior the start of the programme. Kindly do not make your travel plans unless you receive the letter from IIMB.

A certificate of participation will be awarded to the participants by IIMB.

Registration

Please logon to IIMB website www.iimb.ac.in/eep for registering online. Do feel free to get back to us if you should have any clarification.

Executive Education Programmes

Indian Institute of Management Bangalore

Bannerghatta Road, Bangalore 560 076

Phone: +91 - 80 - 2699 3264 / 3475

Fax: +91 - 80 - 2658 4004 / 4050

E-mail: openpro@iimb.ernet.in

 

This course systematically covers the various stages of big data and analytics used in a marketing firm

 

Topic- 1: Introduction and Overview: What is Big Data and why it is so important in marketing

Topic- 2: Some basic tools and concepts of Big Data Analytics:    

Topic- 3: Customer Analytics

Topic- 4: Dealing with Market Segments and Latent Segments

Topic- 5: Social Media Analytics

Topic- 6: Duration Models