
Reliable Data
Michelin team
Created on April 4, 2022
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Transcript
Foundation 5 :
Reliable Data
Data Reliability
Attitudes to be adopted
Participants of the box
Management commitment
Standards
Reliable Data
Symmetry of Considerations
Mindset
The participants:
Attitudes to be adopted
Having reliable analytical data allows you to make the right decisions. We can talk about quality data when the following 4 characteristics are met:
1. Complete data: you have complete information on the characteristics of your customers, products in progress, final products...
2. Available data: you have quick and easy access to the data you need, and the different departments of your company can also find the answers to their questions.
3. Up-to-date data: this means regular cleaning, as well as updating profiles... otherwise you are making decisions based on factors that have become obsolete.
4. Usable data: filling in fields incorrectly, misspellings, typos, incorrect abbreviations... good data means resolving these issues and keeping the terminology in check.