Guide for Data Governance Managers

This 101 Guide is a brief overview of the K Platform designed specifically for Data Governance Managers.

We recommend all new K Data Governance Managers:

• Personalise your K Platform setup by:

  • Refining your feed

  • Creating your own personal/team list

  • Checking to ensure your Data Owner/Steward dashboards are comprehensive

• Review the following key Data Governance tools

  • Collections

  • Data Quality and Issue Management

  • Impact Assessments

  • Ask K

  • Change Tracking

Personalise your K Platform setup

In addition to the standard default Onboarding to K setups, we recommend Data Governance Users take the time check the set-up of a few other features:

• Refine your personalised feed located on the Home Page

  • Your feed is influenced by what your data usage, what your team uses, and the data assets you choose to Follow

  • If there are data assets that you or your team doesn’t actively use but you want to stay notified of any key changes/updates for governance purposes, click the Follow button on the top right page of the data profile page

• Open

  

  Create personal/team Lists to quickly access regularly used data assets.

  • Lists are great ways to group data assets that you are regularly working on or collaborating with other teams

  • You can add any data asset to a list by clicking on the Add to List button on the top right page of the data profile page.

  • Open

    

    Any list that you create appears on Your Data Ecosystem tab.

  • Anyone can navigate to your list by going to the Inventory

• Check to ensure your Data Owner/Steward Dashboard is comprehensive

  • K Platform displays a unique dashboard for each Data Owner and Data Steward

  • Visit your dashboard and check to see if all your data assets are showing

  • If any Data Assets are missing, navigate to the Data Profile page and update the Data Owner/Steward with the correct details

K Data Governance tools

Collections

Collections are used to group a range of different data items to make discoverability and governance of data assets easier. For example, you can create a collection of Critical Data Elements.

It is important to first configure all the critical collections.

You can manually link data assets to a collection or create linking rules to automatically add items to a collection. Linking rules are a great way to automatically link data items to a collection using business rule written in a regex format (aka Regex Rule). They can create consistency and help save manual time and effort. Data items that no longer meet the Regex Rule will automatically be de-linked from the collection.

Visit the Collections page for more information.

Data Quality and Issue Management

K can store track, measure and manage data quality issues across your data ecosystem. Within the Data Quality collection, 6 defined data quality dimensions.

K has the ability to integrate with the following tools to help with quality and issue management:

• Data Quality Management: DBT Cloud, DBT Core and Great Expectations.

• Issue Management: JIRA projects

Visit the Managing Data Quality Outcomes in K page for more information

Impact Assessments

K can help you automatically conduct impact assessments and notify impacted users. The K impact assessment allows you to assess the impact of changes to data items and identify impacted users. Common scenarios where an impact assessment would be helpful include:

• Checking which data assets are impacted by a potential change

• Quickly verifying which data assets have been impacted by an incident/issue

• Generating a list of users, data owners or stewards of impacted data assets to contact

• Data migration analysis

Visit the Impact Assessment and Impact Notifications page for more information

Ask K

Ask K is a self-service portal for extracts that answers common questions about your data ecosystem. Key self-service categories include:

• Management: Understand usage across your Data Ecosystem: Data usage, Content usage and Team usage

• Governance: Understand data classification, Personally Identifiable Information (PII) and known data issues

• Risk: Review user access and and adhoc data behaviour

• Surveys: Review results from user feedback and see who has contributed to the knowledge base

• Cost: Identify opportunities to reduce cost or improve the cost allocation model

• Platform: Data related to running and managing the K platform

Automated Change Tracking

K helps you catalog and identify changes to data items through automated change detection. On each data profile page under the Changes tab to view a timeline of all changes detected. Users can also add notes to provide more information about the changes detected.

Visit the Changes Tab page for more information

For more tips, visit the Top Tips for Data Governance Users