This is a link to a (mostly) technical article, but with huge implications for decision making.
Measuring various metrics is the cornerstone of informed, data-driven (or at least data aware) management. However, acting upon these metrics without a proper understanding of the underlying system can only amplify erratic behaviors or lead to hard to contain side effects.
Experts recommend not doing anything as a better alternative to uninformed decision making, but not doing anything is rarely an option for a company eager to perform. Therefore, in our competitive landscape, now more than ever I believe a good understanding of how to read and interpret data is critical for sustainable continuous improvement.
Here are some guidelines: https://alexandrugris.github.io/statistics/2017/04/27/short-intro-to-reading-data.html
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