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Using Data Governance for Quality

Data governance is crucial for organizations and businesses. It encourages collaboration and cooperation among different departments and stakeholders within an organization. It also establishes a common understanding of data definitions, standards, and processes. Silicon Angle brought this topic to our attention in their article, “Disrupting traditional data governance: A peek into Alation’s award-winning approach.”

Data governance focuses on data quality, ensuring that data is consistent, complete, and free from errors or duplication. By implementing data governance practices, organizations can standardize data definitions, establish data quality rules, and improve overall data integrity. This leads to better operational efficiency, reduced errors, and improved customer experiences.

It is a strategic discipline that supports organizations in managing and leveraging their data effectively as a valuable asset.

Metadata makes digital content findable. Findability, however, works only when a proper taxonomy is in place. Proper indexing against a strong standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Data Harmony, harmonizing knowledge for a better search experience.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.