OKR template to enhance data governance maturity with metadata and quality management
The presented OKR aims to improve data governance maturity through metadata management and quality management. It sets out to establish a metadata management strategy in 75% of departments across the enterprise. This objective will involve training department leads in the new metadata strategy, developing custom metadata strategies to suit each department's needs, and determining which departments require a metadata management strategy in the first place.
The second objective focuses on enhancing data quality to reduce data-related issues by 30%. Achieving this will consist of incorporating advanced data quality check software, implementing a rigorous data validation process, and providing regular training on best practices in data management.
The third objective tasks to train 80% of the team on data governance and quality management concepts. This will require identifying the team members who need data governance training, conducting quality management training sessions, and scheduling training on data governance concepts.
Overall, the OKR centers around the improved use and management of data within the organization, with training and the adoption of stricter data management strategies acting as the primary means of achieving these objectives.
The second objective focuses on enhancing data quality to reduce data-related issues by 30%. Achieving this will consist of incorporating advanced data quality check software, implementing a rigorous data validation process, and providing regular training on best practices in data management.
The third objective tasks to train 80% of the team on data governance and quality management concepts. This will require identifying the team members who need data governance training, conducting quality management training sessions, and scheduling training on data governance concepts.
Overall, the OKR centers around the improved use and management of data within the organization, with training and the adoption of stricter data management strategies acting as the primary means of achieving these objectives.
- 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