Table of contents

Key features

See the overview of key features in IBM Information Server unified governance.

Relationship graph

Relationship graph enables you to see how assets are related to one another in your organization. With complex interconnections, graphical depiction of such relationships helps in understanding the structure of your data. Each relationship has direction and name.
Personally identifiable information marker
When you have sensitive data in your enterprise, also known as personally identifiable information (PII), it can be marked with a PII marker, which is represented by a letter P in the relationship graph. An asset is marked in this way when it is assigned a label that in its description has a marker specified. By default, this marker is PII. For example, when you have a label called Home address, and this label contains the description Specifies home address of customers. Contains PII., all assets to which this label is applied are marked with the P letter in the relationship graph.
If you want to change the default value of the marker, see the Configuring the personally identifiable information marker topic.

You can access the graph while searching the assets in Information Server Enterprise Search.

Ratings and comments

You can rate any asset, and add comments to share your knowledge with other users.

You can rate the asset on a scale of one to five stars. The average rating of an asset influences where asset occurs in the enterprise search results. The higher the average rating, the higher the asset is in the search results.

In addition to rating assets, you also comment them. All comments are public, anyone who has access to an asset can see them. When you add a comment to an asset, a relationship is created between the asset and you. You can see this relationship in the graph.

You can add ratings and comments in Information Server Enterprise Search.

Workflow process

Workflow is a verification process that is used when data in the catalog changes. To ensure the highest quality of your data, the changes in the catalog are verified by experts before they're available to all users.

Data governance in an enterprise is an important process. Each time data changes in the catalog, it might have a large impact on the overall quality of the data. Workflow is used to manage the process of updating data in the catalog. A workflow team consists of users that have dedicated roles, which make them experts in their areas. Users can be responsible for making the changes, for reviewing, for approving, and for publishing these changes.

You can use workflow process when you update data in Information Governance Catalog.

Automatic term assignment

Automatic term assignment is the process of automatically mapping assets to business terms. Terms are automatically assigned to assets as an optional subtask that is a part of column analysis or automated discovery.

Terms are words or phrases that describe a characteristic of the enterprise. Term assignment helps to understand how technical assets relate to glossary entries in Information Governance Catalog by creating associations between terms and information assets.

Initially these associations are represented as candidates which domain experts and stewards can review and assign manually. Terms are represented as candidates if their confidence level matches or exceeds the candidateThreshold parameter, which is 40% by default. Candidates are automatically assigned if their confidence level matches or exceeds the assignmentThreshold, which is 80% by default. Individual thresholds can be set at the InfoSphere® Information Analyzer suite or workspace level.

You can automatically assign terms to information assets as part of the discovery or manually in Information Analyzer and Information Governance Catalog.

Automated discovery

Discover assets to add data to your catalog. During the discovery the data is imported, analyzed, and classified.

With one click, you can register data sets and add metadata to a new or existing workspace, run column analysis and quality analysis, publish analysis results, and automatically assign term to assets.

You can run automated discovery in Information Analyzer and Information Governance Catalog.

Discovery results review

After the discovery process is finished, review the discovery results, work on term assignments, and publish the results to the catalog.

When you open more detailed results of the discovered assets, you can complete the following tasks:
  • Review term assignments and assign your own terms to discovered assets
  • Publish all discovered data or individual assets to the catalog
  • Review data quality scores and assigned data classes
  • Review all warnings and error messages that were generated

You can review the discovery results in Information Governance Catalog.

Automation rules

Automation rules help you automate some of the tasks that you run on your data to ensure the highest data quality. These tasks include applying rule definitions and data quality dimensions, assigning terms or stewards to assets, analyzing assets and more.

Automation rules are if ... then rules, which you create by dragging block elements. If the specified conditions are met, the specified action is taken. The example syntax of the rule might be if the asset is classified by the data class Account number, then bind the data rule definition FieldIsNumeric.

You can use automation rules in Information Governance Catalog.

Data analysis

If you want to run analysis on a smaller set of data, you can easily do it in the workspace view. In this view, you can also review detailed analysis results, and publish them to the catalog to share them with other users.

You can analyze data in Information Governance Catalog New and Information Analyzer.

Data rules, quality rules, and data rule definitions

While you discover and analyze your data, you can use data rule definitions and quality rules to validate specific conditions associated with your data sources. They provide an easy way to check the quality of your data. After the discovery and analysis is run, you can check the results, and review the current state of your data.

You can work with data rules, quality rules, and data rule definitions in Information Governance Catalog New, and Information Analyzer.