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Data360 Govern

Score5.9 out of 10

2 Reviews and Ratings

What is Data360 Govern?

Data360 Govern is an enterprise data governance, catalog, and metadata management solution offered by Precisely. According to the vendor, this solution aims to assist organizations in discovering, understanding, and trusting their data. It is designed for small, medium, and large enterprises across various industries such as financial services, government, insurance, retail, and telecommunications. The product provides a range of features that can support data governance professionals, data stewards, data analysts, data managers, and IT professionals in managing their data effectively.

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Who Buys & Uses Precisely Data360 Govern

A Flexible Data Catalog Solution

Use Cases and Deployment Scope

We use Precisely Data360 Govern to allow business users to see all the different data sources that are in use by the organization, and the various relationships they have with each other. Previously, individual teams would create data sources for their own use, and other users would have limited visibility of what was available. But with Precisely Data360 Govern, there is much more visibility of the different data sources that the organization has, and how they can be used without need for repeated work.

Pros

  • Easy to browse, with universal search bar and dropdown menus
  • Many kinds of programmable relationships between data assets
  • Diagrammatic lineage view of data sources

Cons

  • Some confusion between business assets and technical assets
  • Difficulty with automatically importing data source information
  • Some need for manual updating of metadata

Return on Investment

  • It has increased capability for collaboration between business teams
  • It has allowed for data quality scoring on our data assets
  • It has created a single reference point/source of truth for data

Usability

Alternatives Considered

Alation Data Catalog and Informatica Data Catalog

Other Software Used

Microsoft Power BI, Snowflake, Precisely Data360 DQ+

Processing time took too long

Use Cases and Deployment Scope

When there are problems with the pipelines, it's difficult to troubleshoot. The processing time was absolutely painful for us last year.

Pros

  • ETL
  • Joins
  • Standardization

Cons

  • Processing time
  • Better description of data ingestion issues

Return on Investment

  • Processing time caused significant delays in reporting to members

Usability

Alternatives Considered

Domo

Other Software Used

Tableau Cloud