Guide for Data Governance Managers

Owned by Chichi
Last updated: Jan 09, 2024

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 https://kadaai.atlassian.net/wiki/spaces/KSL/pages/1896808449 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 https://kadaai.atlassian.net/wiki/spaces/KSL/pages/1887043806

    • 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

  • 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.

    • 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 https://kadaai.atlassian.net/wiki/spaces/KSL/pages/1889337558 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

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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

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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.

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