Effective Statistics - PowerPoint PPT Presentation

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Effective Statistics

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Lessons are learned and results improved. People in business 'are finding ... From 'Flawless Consulting' by Peter Block. University Associates, Inc. 1981. Understand ... – PowerPoint PPT presentation

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Title: Effective Statistics


1
Effective Statistics
  • One perspective from
  • a high tech business

2
Effective Statistics
  • An effective system requiresthe ability to
    ensure
  • Application objectives are clear
  • Data sources are understood appropriate

3
  • Appropriate methods are applied their
    limitations are known
  • Results are actionable
  • Actions are taken (and count)
  • Lessons are learned and results improved

4
Effective Statistics
  • People in business are finding
  • that while they have more
  • numbers than ever
  • before, they still
  • do not understand
  • what they mean.
  • From Understanding
  • Variation
  • by Donald Wheeler
  • SPC Press

5
Effective Statistics-one perspective
  • Statistics are effective, to the
  • extent they support achieving
  • business objectives more
  • economically.

6
What Characteristics Make Statistics Effective?
  • The application objective is clear
  • The data source is understood
    appropriate

7
  • The appropriate methods are applied their
    limitations are known
  • The results are actionable
  • Actions make a difference

8
Effective Statistics
Perform Analysis
  • Result from an effective system

9
Some Important Skills
Understand the Objective
10
Understand the Objective
  • Ability to understandthe true problem
  • People skills to co-discover it
  • Technical skills to diagnose it

11
Understand the Objective
  • Often the consultants most valuable
    contribution to a client is the redefinition of
    the problem. The presenting problem and the real
    (or underlying) problem are usually
    different From Flawless Consulting by Peter
    Block University Associates, Inc. 1981

12
Some Important Skills
Collect Data
13
Collect Data
  • Ability to assess the data source integrity and
    limitations
  • What answers can be determined
  • What answers cannot

14
Collect Data
  • The Government are (sic) extremely fond of
    amassing great quantities of statistics. These
    are raised to the nth degree, the cube roots are
    extracted and the results are aggregated into
    elaborate and impressive displays.

15
Collect Data
  • What must be kept in mind, however, is that in
    every case, the figures are first put down by a
    village watchman, and he puts down anything he
    damn well pleases. Sir Joseph Stamp Her
    Majestys Collector of Inland Revenue

16
Some Important Skills
Understand the Objective
17
Perform Analysis
  • Ability to apply the right techniques
  • Set an appropriate approach
  • Perform the analysis correctly

18
Some Important Skills
Understand the Objective
19
Report Results
  • Present an effective conclusion
  • Readily grasped
  • Complete
  • what results mean
  • what they dont
  • Actionable

20
Report Results
  • Our life is frittered away by detail
  • Simplify, simplify.
  • Henry David Thoreau

21
Effective Statistics
Understand the Objective
22
Take Action
  • The fundamental reason we measure anything in
    an organization is to change behavior.

23
  • If there are any measures currently in your
    organization that can vary dramatically without
    causing anyone to change their behavior, the
    measure is a waste and should be
    eliminated FromFast Cycle Time By
    Cristopher Meyer The Free Press, 1993

24
Effective Statistics
Understand the Objective
25
Learn from Results
  • The biggest obstacle to learn anything is
    believing you already know it. From The Only
    Things that Matters By Karl Albrecht Harper
    Collins Publishing, 1992

26
Effective Statistics - a system
27
Some Applications at HP
  • Obtaining useful customer information
  • Optimizing distribution channels
  • Forecasting
  • Inventories

28
  • New product research
  • Evaluating new products
  • Manufacturing process control
  • Solving problems
  • Managing processes

29
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