Automated Governance – Agile Data Governance Attribute (3/5)

The weak maturity of data governance projects necessitates the implementation of good practices and feedback loops to constantly monitor and verify the validity of management rules on your data asset.

The following articles explain the characteristics of a data governance labeled as agile in order to:

1. Be as close as possible to your enterprise’s operational reality.
2. Adapt to your enterprise’s context and not the other way around.
3. Accurately reflect your data assets.
4. Unify and involve your collaborators.
5. Respond to changes quickly.

Implementing data governance must begin by referencing, indexing, and evaluating your organization’s data assets. Building such an artifact by only using human intelligence is rarely successful, given the resource constraints. Therefore, it is necessary to maximize automated processes regarding the extracting and collecting of information related to the data in your organization.

With the help of artificial intelligence algorithms or machine learning, it becomes possible to interpret, contextualize, and give more meaning to your data assets.

With the help of artificial intelligence algorithms or machine learning, it becomes possible to interpret, contextualize, and deduce a more precise meaning to your data asset. This automation allows your data managers to avoid the blank paper syndrome and, freeing them from tedious and repetitive tasks, increases the support from as many people as possible for your initiative to implement data governance within your company.

Finally, this automation became a necessity in the new era where the volume and the variety of systems exploded. The maintenance and updating of this information repository are crucial to reflect the reality of your IS data. With the help of incremental analysis, which frequently and automatically processes your data, you will gain a high-value metadata repository added for your data consumers.

About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.