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Turning Client Data into Insights A presentation by Amit Trivedi I understand this is a very heterogeneous group of people. There are some Who practice comprehensive financial planning by collecting exhaustive client data, and Those


  1. Turning Client Data into Insights A presentation by Amit Trivedi

  2.  I understand this is a very heterogeneous group of people. There are some  Who practice comprehensive financial planning by collecting exhaustive client data, and  Those who only pick up a form from the client’s place

  3. This program should appeal to both these segments and everyone in-between

  4. Dictionary definition  Data:  Individual facts, statistics, or items of information  Insight:  Faculty of seeing underlying truth

  5. “It is a capital mistake to theorize before one has data.” Sherlock Holmes, “A Study in Scarlett” (Arthur Conan Doyle).

  6.  “There is nothing so terrible as activity without insight” Johann Wolfgang von Goethe (German poet)

  7. Where is the data?

  8. Google is not the place to search your client’s data

  9. Sources of data

  10. KYC forms Application forms Mutual funds and Insurance Data collection sheet Your business MIS

  11. Personal cash flow Profession related • Bonus or incentive • Salary increments Investment related • Interest / dividend receipts • Preferred transaction dates

  12. Personal life

  13. Turning data into insights

  14. “The goal is to turn data into information, and information into insight.” Carly Fiorina former executive, president, and chair of Hewlett-Packard Co.

  15. Insight into  Business opportunities  Business planning  Business risk  Investment advice  Changing trends / preferences  Client Objections

  16. Business Opportunity

  17. Sr Client family name Product 1 Product 2 Product 3 Product 4 Product 5 1 2 3 4 5 6 7 8 9 10

  18. Business planning

  19.  Quality of income Clawback Upfront Trail

  20.  Can you spend big money this year?  Are you expecting some big redemptions or inflows?

  21. Business risk

  22.  Concentration among few clients  Can you draw the average client’s profile?

  23.  Investment advice  Tax-exempt investor: interest or SWP , which is better?

  24.  Trends  Clients start asking for a product or a category or investing lump sum now – client psychology  Suddenly people do not mind paying fees  Extrapolating the current good / bad times

  25.  Client objections

  26. Thank You Amit Trivedi amitmtrivedi@gmail.com http://karmayog-knowledge.blogspot.com

  27. Turning data into insight

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