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  1. W kontekście kosztów wdrażania nowych projektów często mówi się o tak zwanej regule dziesięciokrotności, czyli 1-10-100. Reguła ta wskazuje, że koszty związane z ujawnieniem wady oraz jej usunięciem rosną dziesięciokrotnie w następnych fazach procesu produkcji.

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  2. 20 cze 2017 · Discover the groundbreaking 1-10-100 rule, a quality management concept by G. Loabovitz and Y. Chang. Learn how it quantifies hidden costs tied to subpar quality and why it applies to data quality. Explore the impact of poor data integrity, remediation costs, and the importance of prevention.

  3. 1 lip 2024 · The 1:10:100 rule asserts that: The cost of preventing poor data quality at the source is $1 per record. The cost of remediation after data quality issues are identified is $10 per record. The cost of failure (i.e., doing nothing) is $100 per record.

  4. 23 sie 2023 · The "1-10-100 rule" is a concept in data quality management that suggests the cost of addressing a data quality issue increases as the issue moves through different stages of the data...

  5. 3 kwi 2009 · The 1:10:100 ratio. Here is a concept every importer should be familiar with: Fixing problems in development is about 10 times faster and cheaper than in production. Fixing problems in production is also about 10 times faster and cheaper than after the products have been sold.

  6. 12 lip 2020 · The 1-10-100 Rule is related to what’s called “the cost of quality.” Essentially, the rule states that prevention is less costly than correction is less costly than failure.

  7. In phase one of the 1-10-100 rule, $1 equates to the amount it costs to verify data in the first instance. This is the cheapest and most effective way of ensuring you capture clean and accurate data. In phase two, the amount increases to $10 – a significant rise compared to the $1 in phase one.

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