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Advanced Predictive Analytics

Advanced Predictive Analytics. Prof Sunil Wattal. Introductions Intro to Data Analytics Course Logistics Overview of Topics Setting up SAS EM. Agenda. McKinsey Report s hortage of 1.5 million analytics individuals in US. Data Analytics. Big Data market size ~ $7billion in 2012

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Advanced Predictive Analytics

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  1. Advanced Predictive Analytics Prof Sunil Wattal

  2. Introductions • Intro to Data Analytics • Course Logistics • Overview of Topics • Setting up SAS EM Agenda

  3. McKinsey Report • shortage of 1.5 million analytics individuals in US Data Analytics

  4. Big Data market size ~ $7billion in 2012 • 40% growth rate Data Analytics

  5. What is a quintillion? • 90% of world’s data generated in last 2 years Big Data

  6. Where does Big Data come from?

  7. Google: Targeted Advertising • Bank: Default Prevention • Call Centers: Speech recognition • Pharma: Salesforce planning • Netflix: Recommendations, Planning Content • WalMart: Inventory Planning Data Analytics Examples

  8. Examples

  9. Examples: Quantitative Insights : Klout Example : Twitter Analytics

  10. Most common statistical method • Impact of one or more variables (independent variable) on some outcome (dependent variable) • Applications: promotional response, price elasticity Regression

  11. Regression analysis with the outcome is a categorical variable • Can calculate the odds ratio / probability of an event happening • Examples: Likelihood of winning an election, likelihood of winning a game Logistic Regression

  12. Is your website working hard enough? • What metrics can help you answer that? Web Analytics

  13. Web Analytics Metrics

  14. Neural Networks are analytic techniques modeled after the (hypothesized) processes of learning in the cognitive system and the neurological functions of the brain • Advanced data mining tools used where other techniques do not product satisfactory results • Example: coors tested the relation between chemical composition of beer and its taste Neural Networks

  15. How can you represent hundreds of tweets Visualization

  16. Variable selection • Model assessment • Model scoring Dealing with Data

  17. Qualitative Analytics – Stream Graphs Twitter Analytics

  18. Organizational Buy-In • Strategic Alignment • Technology and Infrastructure • Multi-channel analytics

  19. Widespread tracking • Privacy • False positives • ‘Bad’ customners Concerns about Big Data

  20. Questions

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