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Using Data Governance for Findability

The emergence of data ecosystems with platform-based infrastructures continuously demonstrate the potential of value creation based on data. DataQuest brought this interesting topic to our attention in their article, “How data driven decision making leads to effective governance.”

Data governance has become an emerging topic as organizations require a more sophisticated approach over the management of their data assets. Use of emerging technologies such as Internet of Things (IoTs), artificial intelligence (AI) and blockchain can help to achieve efficiency and transparency in governance. There is an immediate need to develop innovative solutions for evidence-based monitoring and data-driven decision making to enhance effectiveness in governance.

Data governance is not data management. Data governance is about the policies and the auditability, authority and the accountability of what data management does. Data governance is responsible for deciding who is responsible for what, who exercises the authority about how data is going to be managed. Good data governance sets the foundation for findability.

Data Harmony is Access Innovations’ AI suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.

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.