5 customisable OKR examples for Data Governance
What are Data Governance OKRs?
The OKR acronym stands for Objectives and Key Results. It's a goal-setting framework that was introduced at Intel by Andy Grove in the 70s, and it became popular after John Doerr introduced it to Google in the 90s. OKRs helps teams has a shared language to set ambitious goals and track progress towards them.
Formulating strong OKRs can be a complex endeavor, particularly for first-timers. Prioritizing outcomes over projects is crucial when developing your plans.
To aid you in setting your goals, we have compiled a collection of OKR examples customized for Data Governance. Take a look at the templates below for inspiration and guidance.
If you want to learn more about the framework, you can read our OKR guide online.
Building your own Data Governance OKRs with AI
While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own OKRs.
Our customisable Data Governance OKRs examples
We've added many examples of Data Governance Objectives and Key Results, but we did not stop there. Understanding the difference between OKRs and projects is important, so we also added examples of strategic initiatives that relate to the OKRs.
Hope you'll find this helpful!
1. OKRs to ensure compliance through complete closing of audit findings for data governance
Ensure compliance through complete closing of audit findings for data governance
Achieve 100% closure of existing data governance audit findings
Implement corrections and verify completion- Review all existing data governance audit findings
- Develop a detailed rectification plan
- Conduct two training sessions on data governance improvements and achieve 90% staff attendance
- Implement improvements highlighted from audit findings in 80% of relevant areas
- Track and document all changes made
- Identify areas needing improvement from audit findings
- Prioritize implementing changes in 80% of these areas
2. OKRs to implement effective Data Governance Framework Agency-wide
- Implement effective Data Governance Framework Agency-wide
- Train 80% of relevant staff members on data governance principles and practices
- Develop or acquire a data governance training program
- Schedule and conduct training sessions for identified staff
- Identify relevant staff for data governance training
- Achieve 90% compliance with the newly implemented data governance framework
- Train all team members on the new data governance framework
- Conduct regular compliance audits for monitoring adherence
- Implement reward scheme for compliance achievements
- Set up clear data governance policies and procedures by next quarter
- Implement, review, and refine drafted data governance procedures
- Draft initial policies and procedures for data governance
- Identify key stakeholders for creating data governance policies
3. OKRs to enhance data governance by building a robust business catalog
- Enhance data governance by building a robust business catalog
- Increase number of cataloged business assets by 30%
- Initiate an equipment inventory audit across all departments
- Invest in new business assets and update registry
- Encourage employees to report unregistered assets
- Achieve 95% data accuracy and completeness in the built business catalog
- Train staff on data accuracy importance and techniques
- Implement rigorous data validation procedures
- Conduct regular audits and cleanups of existing data
- Establish standardized cataloging and data stewardship guidelines applicable across all departments
- Develop guidelines for standardized cataloging and data stewardship
- Communicate guidelines to all department heads for implementation
- Monitor department compliance with standardized procedures
4. OKRs to streamline data architecture to enhance overall efficiency and decision-making
- Streamline data architecture to enhance overall efficiency and decision-making
- Improve data governance framework to ensure data quality and compliance
- Identify and rectify gaps in the current data governance policies
- Implement regular compliance checks and audits for data management
- Develop comprehensive data quality standards and measurement metrics
- Enhance data infrastructure scalability to support future growth and evolving needs
- Implement scalable data management solutions
- Monitor and adjust scalability strategies regularly
- Evaluate current data infrastructure strengths and limitations
- Increase data integration automation to reduce manual efforts by 30%
- Implement automation software to streamline data integration
- Monitor and assess efficiency improvements post-implementation
- Evaluate existing data integration processes and identify manual efforts
5. OKRs to enhance data governance maturity with metadata and quality management
- Enhance data governance maturity with metadata and quality management
- Implement an enterprise-wide metadata management strategy in 75% of departments
- Train department leads on the new metadata strategy implementation
- Develop custom metadata strategy tailored to departmental needs
- Identify key departments requiring metadata management strategy
- Decrease data-related issues by 30% through improved data quality measures
- Incorporate advanced data quality check software
- Implement a rigorous data validation process
- Offer periodic training on data management best practices
- Train 80% of the team on data governance and quality management concepts
- Identify team members requiring data governance training
- Conduct quality management training sessions
- Schedule training on data governance concepts
Data Governance OKR best practices to boost success
Generally speaking, your objectives should be ambitious yet achievable, and your key results should be measurable and time-bound (using the SMART framework can be helpful). It is also recommended to list strategic initiatives under your key results, as it'll help you avoid the common mistake of listing projects in your KRs.
Here are a couple of best practices extracted from our OKR implementation guide 👇
Tip #1: Limit the number of key results
The #1 role of OKRs is to help you and your team focus on what really matters. Business-as-usual activities will still be happening, but you do not need to track your entire roadmap in the OKRs.
We recommend having 3-4 objectives, and 3-4 key results per objective. A platform like Tability can run audits on your data to help you identify the plans that have too many goals.
Tability's audit dashboard will highlight opportunities to improve OKRsTip #2: Commit to weekly OKR check-ins
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to get the full value of your OKRs and make your strategy agile – otherwise this is nothing more than a reporting exercise.
Being able to see trends for your key results will also keep yourself honest.
Tability's check-ins will save you hours and increase transparencyTip #3: No more than 2 yellow statuses in a row
Yes, this is another tip for goal-tracking instead of goal-setting (but you'll get plenty of OKR examples above). But, once you have your goals defined, it will be your ability to keep the right sense of urgency that will make the difference.
As a rule of thumb, it's best to avoid having more than 2 yellow/at risk statuses in a row.
Make a call on the 3rd update. You should be either back on track, or off track. This sounds harsh but it's the best way to signal risks early enough to fix things.
How to turn your Data Governance OKRs in a strategy map
OKRs without regular progress updates are just KPIs. You'll need to update progress on your OKRs every week to get the full benefits from the framework. Reviewing progress periodically has several advantages:
- It brings the goals back to the top of the mind
- It will highlight poorly set OKRs
- It will surface execution risks
- It improves transparency and accountability
Spreadsheets are enough to get started. Then, once you need to scale you can use a proper OKR platform to make things easier.
Tability's Strategy Map makes it easy to see all your org's OKRsIf you're not yet set on a tool, you can check out the 5 best OKR tracking templates guide to find the best way to monitor progress during the quarter.
More Data Governance OKR templates
We have more templates to help you draft your team goals and OKRs.
- OKRs to ensure compliance through complete closing of audit findings for data governance
- OKRs to complete Mid-Office documentation in Confluence
- OKRs to establish our simple AI startup using open-source tools
- OKRs to streamline the volunteer onboarding process for efficiency
- OKRs to enhance confidence and development through targeted training
- OKRs to improve test coverage and automation for proactive debt remediation
OKRs resources
Here are a list of resources to help you adopt the Objectives and Key Results framework.
- To learn: What is the meaning of OKRs
- Blog posts: ODT Blog
- Success metrics: KPIs examples
What's next? Try Tability's goal-setting AI
You can create an iterate on your OKRs using Tability's unique goal-setting AI.
Watch the demo below, then hop on the platform for a free trial.