What is the expected outcome of effective data governance?

Effective data governance primarily focuses on ensuring that data is accurate, consistent, secure, and used appropriately across an organization. The expected outcome of robust data governance is higher quality and compliance of data assets. This involves implementing policies and procedures that ensure data is managed properly throughout its lifecycle, from collection and storage to usage and disposal.

By establishing standards and practices for data management, organizations can improve data quality through validation, cleaning, and continuous monitoring. Additionally, compliance with relevant regulations and guidelines, such as GDPR or HIPAA, is facilitated through effective governance, reducing legal risks associated with data misuse or breaches. Higher quality data not only enhances decision-making processes but also builds trust among stakeholders regarding the reliability of the data used for analyses and reporting.

While reduced data duplication may result from better governance practices, it is more of a specific benefit rather than the overarching goal. Faster data processing and lower hardware costs are related to data management efficiency but are not directly tied to the outcomes that data governance aims to achieve.