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Food for Thought

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Title: Slide 1 Author: QAS User Last modified by: lucygr Created Date: 6/22/2006 8:09:53 AM Document presentation format: On-screen Show Company: QAS Ltd – PowerPoint PPT presentation

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Title: Food for Thought


1
Food for Thought
Presented by Helen Roy Date 14th June 2007
2
What does take away mean to you ?
3
Our main source of energy
  • "Food can look beautiful, taste exquisite,
  • smell wonderful, make people feel good,
  • bring them together, inspire romantic
    feelings....
  • At its most basic, it is fuel for a hungry
    machine
  • Rosamond Richardson
  • English cookery author

4
Fuel for a hungry machine
  • You will eat 20 tonnes of food in your lifetime
  • You will spend 2,947 days eating, shopping,
    cooking, queuing or hunting for it
  • Thats 16 of your entire waking life

5
Fuel for a business machine
  • You will use (how much?) data in your career
  • You will spend (how many?) days collecting,
    cleaning, deduplicating and suppressing data
  • Thats (what percentage ?) of your entire work
    life !

6
Food for Thought
  • Established in 2007
  • Family business
  • Aiming for reputation good quality, friendly
    service
  • Motto Nice and spicy
  • Free delivery and branded chopsticks

7
New menu starters to work up your appetite
8
A match made in heaven ?
How important do you believe it is to invest in
data quality?
How important do others in your
organisation think it is to invest in data
quality?
How well does the data you rely on help you meet
your business goals?
Whose responsibility is it to improve the
data you use to meet your business goals?
9
Satisfy your hunger main courses
  • How well built is
  • your data strategy ?

10
Try something new
11
Auditing
  • Regular and planned
  • Perfect record
  • Three measurements
  • completeness
  • accuracy
  • currency
  • Improve
  • Measure over time

12
Standardising
  • List all data entry points
  • Get relevant people involved
  • Look at all fields
  • Define (or refine) the perfect record
  • Adopt same format, rules and processes
  • Train staff entering other peoples data
  • Validation for customers entering their own data

13
Matching
  • Format and clean all databases
  • Compare internal data stores to identify
    duplicates
  • Merge or remove
  • Compare external data lists to identify and
    suppress duplicates from campaigns

14
Desserts good fortune all round
  • Your customers

15
Food for Thought Helen Roy
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