Free for the Asking
Why did TQM Fail?
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Employees take their cues from mgmt. more
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Executive & middle mgmt. oversights more
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Didn't integrate quality into organizational structure more
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Why do major change initiatives fail?
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Part 1: The eight major reasons for failure.
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Part 2: Consequences of these errors?
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Confessions of a shot messenger
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Dealing with the Data "Beast" - Simply... Sanely... Statistically
Despite what we've all been taught, "statistics" is not an arcane set of techniques used to "massage" data.
In the current atmosphere of "accountability," there seems to be a new tendency for performance goals to be imposed from external sources, resulting in:
- Mass-produced tables complete with variances and rankings,
- Perceived trends being acted upon to reward and punish,
- Neanderthal budgeting processes,
- Labels such as "above average" and "below average" getting attached to individuals/institutions,
- People (especially politicians) being "outraged" by certain results and imposing even "tougher" standards.
These are very well-meaning strategies that are simple, obvious...and wrong! It is my hope that this seminar will:
- Help expose the severe limitations of "traditional" statistics in real world settings,
- Create awareness of the unforeseen problems caused by the exclusive use of arbitrary numerical goals, "stretch" goals, and "tougher" standards for driving improvement,
- Demonstrate the futility of using heavily aggregated tables of numbers, variances from budgets, or bar graph formats as vehicles for taking meaningful management action,
- Create proper awareness of the meaning of the words "trend," "above average," and "below average," and
- Enable people to ask better questions in response to everyday data issues.
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