Digital APAC- Predictive Analytics
- 1. Personalised Online Experience Presented By : Kavi Chaurasia VP- Marketing Air Costa
- 2. Analytics : Experience and Data
- 3. Google Search Master at creating data products • Google BREAK THROUGH - Search Engine could use input other than the text on the page. • Spell Checking- by suggesting corrections to misspelled searches and observing what the user clicks in response. • Speech Recognition - by using the collected voice data and integrating voice search into the core search engine.
- 4. • Facebook and Linkedin use patterns of friendship relations to suggest other people you may know with fighting accuracy. • Amazon understands that a book isn’t just a book, a camera isn’t just a camera and a customer isn’t just a customer DATA PRODUCTS AND DATA EXHAUST
- 5. Determining Data Factors Affecting Business
- 6. Determining Data Factors Affecting Business
- 7. Using Behavioural Patterns For Target Reach
- 9. Usage Relevance of Analytics
- 10. Look at me We know you
- 12. Vs
- 14. Know Your Customer • Customer foot prints on the Dialler. • Conversation ended with red faced customer. • Customer deserves a call back. • Friendly and loyal customer. • Satisfied customer with service • Customer calling more than 20 times a month. • Need to change the agent for the next conversation. 35% 29% 11% 10% 8% 7%
- 15. Identifying Needs Cab Discounts Alternate travel Accommodation Data Feed Planner Category Retail Choose
- 16. TAKE AWAY • Offer what customer wants instead of what you have to offer. • Historical patterns are must to Predict at the nearest of the accuracy. • Data cannot be obtained rather it has to be “GENERATED”. • The real objective of Data Analytics should not be beyond business. • “FRICTIONLESS” checkout is the epitome of successful data strategy.
- 17. 1. To which role would you assign primary responsibility for translating a business objective to a data objective? A. Data engineer B. Data analyst C. Data scientist D. Data translator Question for You ?
- 18. Data Translators are the interface between the analytics team and the rest of the business. They are responsible for defining the business questions that motivate the project, helping translate these into data questions, and developing a strategy for obtaining the right data. At the other end, they are responsible for translating the results of the analyses into business insights and helping the business stakeholders use these insights to make decisions.
- 19. 2. Business Intelligence tools are primarily used for ? A. Descriptive analytics B. Predictive analytics C. Prescriptive analytics 3. Machine Learning tools are primarily used in ? A. Descriptive analytics B. Predictive analytics C. Prescriptive analytics Question for You ?
- 20. • Business intelligence tools primarily serve to summarize and visualize large amounts of data from the past for the purpose of descriptive analytics • Machine learning tools allow the development of predictive models on the basis of training data.
- 21. THANK YOU