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Data Lineage Best Practices Enhance Data Quality and Usability

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NYC area expert explains how best practices for robust and reliable data lineage unlock data benefits to power business goals—in a new article from Messaging Architects

Messaging Architects, an eMazzanti Technologies Company and information governance expert, shares data lineage best practices in a new article. The informative article first explains data lineage as a type of metadata that traces the journey of data through the organization, providing a visual map of data items that serves as a powerful tool for analysts and users.

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The author then shares some of the benefits of having data lineage, including help in resolving data errors, leveraging data for new opportunities, and improved data security and compliance. He concludes by listing several data lineage best practices, including automation, proper tool selection, identifying key data sources, and establishing a common metadata model and vocabulary.

“To unlock data quality, data users need a better understanding of the data,” stated Greg Smith, Vice President of Services Delivery at Messaging Architects. “Data lineage provides a visual map of data items from their origin through every access point.”

Below are a few excerpts from the article, “Data Lineage Best Practices Enhance Data Quality and Usability.”

“Organizations depend on quality data to drive strategy and innovation. To unlock data quality, data users need a better understanding of that data. This includes knowing where it originated, how it has been used, and how it has transformed over time. Enter data lineage, a type of metadata that traces the journey of data through the organization.”

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“Data lineage provides a visual map of data items from their origin through every access point. By helping users observe different touchpoints along the data journey, it enables data stewards to validate for accuracy and consistency. It also provides necessary context about historical processes, helping to trace errors back to the root cause.”

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“In addition to resolving data errors and inconsistencies, data lineage delivers other valuable insights and benefits. For instance, it allows analysts to discover and reuse existing data assets such as reports or models. And by knowing the context and meaning of the data, they can leverage it for new opportunities.”

“Data lineage also improves data security and regulatory compliance by tracking data usage and access across the organization. This allows compliance officers to ensure that data is handled according to established policies. It also provides evidence of data provenance and validity for external authorities.”

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