Not only does this make it easy to connect analysts

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Top-down data governance has pervaded data and analytics management for a number of years now, but that approach has not yielded the results many adherents expected when they first adopted it. That’s because data has been locked down to the point where it is completely inaccessible, and thus unusable. Because of this, many organizations have turned to Agile Data Governance.

Unlike top-down data governance strategies that seek to control and parametrize every aspect of data access, Agile Data Governance empowers all stakeholders to participate in an inclusive data and analytics process. But in order to practice Agile Data Governance (and by extension last-mile governance), your data catalog must have a request access workflow.

The request access workflow should be built around topical, domain-oriented datasets, which enables consumers to easily discover data, its related metadata, sample data, and other relevant information. Consumers can request access with information about their use case and then receive access directly and immediately.

with data, it also allows data stewards and product managers to fully audit that access and every query that goes through it.

Curation
The ability to curate your tables and sources into domain or use case oriented datasets regardless of where that data source might physically reside is another piece of the last-mile governance puzzle.

Knowledge graphs play a critical role in data curation because they bring together people, context, and connections in a single semantically organized view of your data. With a knowledge graph you can:

Connect to any solution in your data ecosystem including data quality, data lineage, data prep, and other metadata tools

Logically organize data and metadata and in machine-readable format, speeding search and discovery

Map data assets to key enterprise concepts to make them discoverable and accessible for greater user self service

Most importantly though, knowledge graph greece whatsapp number data federated, virtualized query. This is more than simple virtualization where your data catalog is simply a query workbench for a table. This allows your analysts to explore and join data, where it comes from – keeping them focused on business results rather than technical wrangling.

Impact
The final concept of last-mile governance, impact, is where data assets are transformed into insights. Insights are informed by embedded collaboration capabilities. At minimum, your data catalog should serve up:

Project-relevant data, analysis, and questions so you can build on prior work

Tailored feeds that show team, collaborator, and project progress as soon as you log on

Proactive alert that share what’s new, when it happened, and how you can contribute

These features, combined with the aforementioned concepts, enable true last-mile governance.

Empower your workforce with last-mile governance
The business goal of a data catalog is to empower your workforce so they can get more information from your data investments, gain better data insights as a whole, and make smart decisions quickly. Last-mile governance is central to this mission.

For more information on how a data catalog can help responsibly govern access to your data, schedule a demo with our team.