This is an ESSEC Master Class delivered on 15 November 2014 in Singapore

1. Big Data Analytics
Opportunities and Threats in the
Present and the Future
Prof. Ashwin Malshe
15.11.2014

2. Agenda
• Introduction to self
• What is big data?
• What is analytics?
• Applications of big data analytics
• State of the art
• Present and future challenges

3. About me
• ESSEC professor for the last 3½ years
• Based in Singapore
– Teaching experience in India, USA, France,
Germany, and Singapore
• Teaching interests
– Marketing analytics and social media marketing
• Research interests
– Marketing ROI and social media marketing

4. Connecting with Me
Twitter
@ashwinmalshe
Email
Malshe@essec.edu

5. Big Data
What is it? What do you think?

6. Big Data - Introduction
• What is big data?
(https://www.youtube.com/watch?v=qqfeUUjAIyQ)

7. Analytics – A Definition
“Analytics is the study of data to
generate actionable insights for
individuals, managers, and
policymakers”
– Ashwin Malshe

8. Analytics
• Measure
• Monitor
• Predict
• Change

9. Types of Analytics
• Descriptive
• Predictive
• Prescriptive
• What are these?
(https://www.youtube.com/watch?v=nv2HTRWhbB4)

10. Applications of Big Data Analytics
• Advertising (BW: http://tinyurl.com/on2lfs9)
• Retail (NYT: http://nyti.ms/13cbsuD)
• Health-care (WSJ: http://tinyurl.com/kd6lp32)
• Workforce (Economist: http://econ.st/18beqDG)
• Restaurants (BW: http://tinyurl.com/ngeuvpf)
• Fashion (WSJ: http://tinyurl.com/ob3opnc)

11. State of the Art
• Database Management
– Hadoop MapReduce, Apache Spark
• Predictive analysis
– Machine learning
– R, Python, etc.
• Visualization
– Tableau

12. Challenges
• Privacy
• Data quality
• Costs
• ROI

13. Trends
• Automation
– Tamr
– Data Robot, Aerues
• Consulting
– Domain expertise
– Managerial skills
– Soft skills

14. Thank You!