OKR template to establish robust Master Data needs for TM
The OKR relates to establishing a comprehensive understanding of Master Data needs specifically for TM. The prime objective is to identify and finalize the 10 most crucial components of TM's Master Data by the fourth week. Initiatives include researching key elements, compiling, categorizing by relevance, and finalizing a list.
The second outcome focuses on training 80% of the relevant team on handling that Master Data by the twelfth week. The progress of this objective would be monitored weekly with scheduled training sessions for identified team members starting by the sixth week.
The final outcome is to implement a system to uphold high-quality Master Data by the eighth week. This system would encompass designing a method for robust Master Data management, deploying and testing the system, and establishing quality standards to ensure data integrity.
This OKR emphasizes efficient data management and ensuring capable team members who know how to handle the data. Hence, it should improve the overall productivity and quality of data management for the TM team.
The second outcome focuses on training 80% of the relevant team on handling that Master Data by the twelfth week. The progress of this objective would be monitored weekly with scheduled training sessions for identified team members starting by the sixth week.
The final outcome is to implement a system to uphold high-quality Master Data by the eighth week. This system would encompass designing a method for robust Master Data management, deploying and testing the system, and establishing quality standards to ensure data integrity.
This OKR emphasizes efficient data management and ensuring capable team members who know how to handle the data. Hence, it should improve the overall productivity and quality of data management for the TM team.
- Establish robust Master Data needs for TM
- Identify 10 critical elements for TM's Master Data by Week 4
- Research crucial components of TM's Master Data
- Compile and categorize data elements by relevance
- Finalize list of 10 critical elements by Week 4
- Train 80% of the relevant team on handling the Master Data by Week 12
- Identify the team members who need Master Data training
- Monitor and record training progress each week
- Schedule Master Data training sessions by Week 6
- Implement a system to maintain high-quality Master Data by Week 8
- Design system for Master Data management by Week 5
- Deploy and test the system by Week 7
- Establish Master Data quality standards by Week 2