Tability is a cheatcode for goal-driven teams. Set perfect OKRs with AI, stay focused on the work that matters.
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.
The best tools for writing perfect Data Governance OKRs
Here are 2 tools that can help you draft your OKRs in no time.
Tability AI: to generate OKRs based on a prompt
Tability AI allows you to describe your goals in a prompt, and generate a fully editable OKR template in seconds.
- 1. Create a Tability account
- 2. Click on the Generate goals using AI
- 3. Describe your goals in a prompt
- 4. Get your fully editable OKR template
- 5. Publish to start tracking progress and get automated OKR dashboards
Watch the video below to see it in action 👇
Tability Feedback: to improve existing OKRs
You can use Tability's AI feedback to improve your OKRs if you already have existing goals.
- 1. Create your Tability account
- 2. Add your existing OKRs (you can import them from a spreadsheet)
- 3. Click on Generate analysis
- 4. Review the suggestions and decide to accept or dismiss them
- 5. Publish to start tracking progress and get automated OKR dashboards
Tability will scan your OKRs and offer different suggestions to improve them. This can range from a small rewrite of a statement to make it clearer to a complete rewrite of the entire OKR.
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!
OKRs to ensure compliance through complete closing of audit findings for data governance
ObjectiveEnsure compliance through complete closing of audit findings for data governance
KRAchieve 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
- KRConduct two training sessions on data governance improvements and achieve 90% staff attendance
- KRImplement 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
OKRs to implement effective Data Governance Framework Agency-wide
- ObjectiveImplement effective Data Governance Framework Agency-wide
- KRTrain 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
- KRAchieve 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
- KRSet 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
OKRs to enhance data governance by building a robust business catalog
- ObjectiveEnhance data governance by building a robust business catalog
- KRIncrease 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
- KRAchieve 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
- KREstablish 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
OKRs to streamline data architecture to enhance overall efficiency and decision-making
- ObjectiveStreamline data architecture to enhance overall efficiency and decision-making
- KRImprove 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
- KREnhance 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
- KRIncrease 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
OKRs to enhance data governance maturity with metadata and quality management
- ObjectiveEnhance data governance maturity with metadata and quality management
- KRImplement 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
- KRDecrease 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
- KRTrain 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
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.
Tip #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.
Tip #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.
Save hours with automated OKR dashboards
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 Tability to save time with automated OKR dashboards, data connectors, and actionable insights.
How to get Tability dashboards:
- 1. Create a Tability account
- 2. Use the importers to add your OKRs (works with any spreadsheet or doc)
- 3. Publish your OKR plan
That's it! Tability will instantly get access to 10+ dashboards to monitor progress, visualise trends, and identify risks early.
More Data Governance OKR templates
We have more templates to help you draft your team goals and OKRs.
- OKRs to implement regulatory changes efficiently and economically
- OKRs to reduce mobilization cost for special project set ups
- OKRs to increase Ad Ranks by Optimizing User Intent Matching
- OKRs to secure 9 million in funding for the annual campaign
- OKRs to boost engagement through strategic social media listening and talking
- OKRs to achieve first-time accuracy for all requirements