Non-Intrusive Governance – Agile Data Governance Attribute (2/5)

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 data governance labeled as agile:

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.

Enterprises consider that the classic approaches to Enterprise Data Management (EDM) require all parties involved to adopt a certain number of tools and procedures that can burden the processes of data discovery, thus becoming an obstacle to innovation. In a world where the variety as well as the volume of data is exploding, where new tools for data storage and processing ceaselessly pop up, a much more reasonable approach exists.

It is a means to give freedom to your collaborators to use tools more adaptable to their uses, whether it is to generate or to access datasets, of course, according to their authorized level.

This approach aims to centralize the knowledge that your collaborators have acquired from their datasets in a “data catalog.” The objective is to collect and aggregate the metadata of your created or updated datasets from your tools and storage systems. It is from these platforms, unrelated to operations, that data governance can be executed without interfering with the daily work of your collaborators.

This non-intrusive method of addressing data governance calls for the enterprise to move forward little by little. Experiment with and adjust your management rules on data and its metadata gradually so that you can establish a curation of your data assets.

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.