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Despite all the right efforts being made to protect data and its quality across datasets, a lack of data literacy skills in an organization can still cause a lot of damage to your data. .
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  • Data quality is defined as the degree to which the data fulfills its intended purpose.
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    An open source tool out of AWS labs that can help you define and maintain your metadata validation.

  • Employees often store wrong information as they don’t understand what certain attributes mean.
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    The other way to improve data quality is by implementing data quality solutions.

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  • May 23, 2022 · Issue#11: Lack of data literacy skills.
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    The most critical points of defining data quality may vary across industries and from organization.

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    In this guide we have added four more – Currency, Conformity, Integrity, and Precision – to create a total of 10 DQ dimensions.