Data science: A New Profession in IT
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The document discusses various applications of data science in different fields such as marketing, finance, and public safety. It highlights predictive analytics and its uses, including targeted advertising, stock trading, crime prediction, and fraud detection. Each example outlines what is predicted and the actions taken based on those predictions.
Data science: A New Profession in IT
- 1. DATA SCIENCE A NEW PROFESSION IN IT Sergey Shelpuk Head of Data Science Office @ Eleks sergey@Shelpuk.com
- 5. DATA SCIENCE AROUND US TARGETING DIRECT MARKETING What’s predicted: which customers will respond to marketing contact What’s done about it: contact customers more likely to respond
- 6. DATA SCIENCE AROUND US PREDICTIVE ADVERTISEMENT TARGETING What’s predicted: which ad each customer is most likely to click What’s done about it: display the best ad
- 7. DATA SCIENCE AROUND US BLACK BOX TRADING What’s predicted: whether a stock will go up or down What’s done about it: sell or buy stock
- 8. DATA SCIENCE AROUND US PREGNANCY PREDICTION What’s predicted: which female customer will have a baby in coming months What’s done about it: market relevant offers for soon-to-be parents
- 9. DATA SCIENCE AROUND US CRIME PREDICTION What’s predicted: the location of a future crime What’s done about it: police patrol the area
- 10. DATA SCIENCE AROUND US FRAUD DETECTION What’s predicted: which transactions or applications for credit, benefits, reimbursements, refunds and so on are fraudulent What’s done about it: human auditor screening
- 11. DATA SCIENCE AROUND US NETWORK INTRUSION DETECTION What’s predicted: Which low- level Internet communication originate from imposters What’s done about it: block such interactions
- 12. DATA SCIENCE AROUND US BLOG ENTRY ANXIETY What’s predicted: which blog entry express anxiety What’s done about it: used to calculate an aggregate measure of mass mood
- 13. DATA SCIENCE AROUND US CUSTOMER RETENTION WITH CHURN MODELING What’s predicted: which customers will leave What’s done about it: retention efforts targeting at- risk customers
- 14. DATA SCIENCE AROUND US MOVIE RECOMMENDATIONS What’s predicted: what rating a customer would give to a movie What’s done about it: recommend the customer a movie she would probably like
- 15. DATA SCIENCE AROUND US SCHEDULING AND CONSTRAINT SATISFACTION What’s predicted: best assignment of the events to satisfy the given constraints What’s done about it: follow the schedule than minimizes the risk of violating constraints
- 17. THANK YOU