See the overview of key features in IBM Information Server unified governance.
Enterprise and catalog search
Business analysts and data scientists search for information across the enterprise to gain insight and understanding of that information, supporting business needs. With the most up-to-date results, they are able to answer the following questions:
What are the requirements for its handling or usage?
Who is its owner?
What other systems or users are accessing or using the data?
- Search for assets in the enterprise
- When you search for assets in enterprise, factors like text match, context match, asset rating, number of comments, and last modified time are taken into account. Use this type of search when you are not familiar with your data and you are not sure where you can find the assets that you are interested in. Search for assets in the enterprise in Information Server Enterprise Search.
- Search for assets in the catalog
- When you search for assets in catalog, you can select many asset types and apply filters like created by, modification date, labels, and others. Use this type of search when you know what asset types you're interested in.
- You can search the catalog in Information Governance Catalog.
- 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
Pin 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
Pletter 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 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.
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.
Discovery results review
After the discovery process is finished, review the discovery results, work on term assignments, and publish the results to the catalog.
- 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 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.
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.
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.