Data integrity is the basis of any decision made using data, and one way to insure it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in 2022.“
Data quality is closely tied to trust and credibility. When data is accurate, consistent, and reliable, stakeholders – including customers, partners, and regulators – have confidence in the organization’s operations and decision-making processes. Trust is crucial for maintaining strong relationships and reputation in the marketplace. Modern business is built on a foundation of trusting data; yet high-volume collection makes it a challenge to keep a sound foundation of high data integrity, because the amount and diversity of collected data is greater and ever-broadening. An effective data governance strategy is critical for unlocking the full benefits of information. Advantages include more data-driven decision-making, enhanced business innovation, and improved collaboration through clearer communication.
A controlled vocabulary or full taxonomy is needed to ensure that the machine-assisted or fully automated indexing is comprehensive, regardless of what is to be indexed. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and make their information findable.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, changing search to found.
