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Big Data Analytics: Ashwin Malshe Talk
- Prof. Ashwin Malshe gave a presentation on big data analytics, introducing himself and his background. - He defined big data and analytics, explaining the different types of analytics including descriptive, predictive, and prescriptive. - Applications of big data analytics discussed included advertising, retail, health care, workforce, restaurants, and fashion. - Challenges and trends in big data analytics were also briefly outlined.
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Big Data Analytics: Ashwin Malshe Talk
- 1. Big Data Analytics Opportunitiesand Threats in the Present and the Future Prof. Ashwin Malshe 15.11.2014
- 2. Agenda • Introduction toself • What is big data? • What is analytics? • Applications of big data analytics • State of the art • Present and future challenges
- 3. About me • ESSECprofessor 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.
- 5. Big Data What isit? What do you think?
- 6. Big Data -Introduction • What is big data? (https://www.youtube.com/watch?v=qqfeUUjAIyQ)
- 7. Analytics – ADefinition “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 BigData 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 theArt • Database Management – Hadoop MapReduce, Apache Spark • Predictive analysis – Machine learning – R, Python, etc. • Visualization – Tableau
- 12. Challenges • Privacy • Dataquality • Costs • ROI
- 13. Trends • Automation – Tamr –Data Robot, Aerues • Consulting – Domain expertise – Managerial skills – Soft skills
- 14.