Data Processing KRA/KPI

Key Responsibility Areas (KRAs) & Key Performance Indicators (KPIs) for Data Processor

1. Data Quality Management

KRA: Ensuring accuracy and integrity of data processed.

Short Description: Maintain high data quality standards.

• Percentage of data accuracy maintained
• Number of data errors detected and rectified
• Data completeness percentage
• Data duplication rate

2. Data Security Compliance

KRA: Ensuring compliance with data protection regulations.

Short Description: Safeguard sensitive data.

• Percentage compliance with data security standards
• Number of data breaches/incidents
• Completion of data security training
• Audit rating on data security measures

3. Data Processing Efficiency

KRA: Optimizing data processing workflows for efficiency.

Short Description: Streamline data processing operations.

• Time taken to process a set amount of data
• Data processing error rate
• Utilization of automation tools in processing
• Percentage reduction in processing time

4. Data Analysis and Reporting

KRA: Analyzing processed data to derive insights and create reports.

Short Description: Transform data into actionable insights.

• Number of actionable insights generated
• Accuracy of data analysis reports
• Adherence to report delivery timelines
• Feedback received on report usefulness

5. Database Management

KRA: Managing and maintaining databases efficiently.

Short Description: Ensure optimal database performance.

• Database uptime percentage
• Database backup frequency and success rate
• Database query response time
• Number of database optimization initiatives implemented

6. Data Governance Implementation

KRA: Implementing and enforcing data governance policies.

Short Description: Ensure data governance compliance.

• Completion rate of data governance training
• Adherence to data classification guidelines
• Number of data governance policy violations detected
• Feedback on data governance awareness initiatives

7. Continuous Process Improvement

KRA: Identifying and implementing process improvements in data processing.

Short Description: Drive continuous improvement in data processes.

• Number of process improvement initiatives implemented
• Reduction in data processing errors over time
• Feedback from team on process efficiency enhancements
• Time saved due to process optimizations

8. Stakeholder Communication

KRA: Communicating data-related insights effectively to stakeholders.

Short Description: Ensure clear and concise data communication.

• Feedback on the clarity of data presentations
• Stakeholder satisfaction with data communication
• Number of stakeholders reached with data insights
• Response time to stakeholder queries

9. Team Collaboration

KRA: Collaborating with team members for efficient data processing.

Short Description: Foster teamwork for data processing success.

• Team cohesion and collaboration rating
• Number of successful team data projects completed
• Feedback on team communication effectiveness
• Team satisfaction with collaborative tools used

10. Professional Development

KRA: Continuous learning and development in data processing field.

Short Description: Stay updated with industry trends and technologies.

• Completion of relevant training courses/certifications
• Participation in data processing conferences/events
• Feedback on knowledge sharing within the team
• Application of new skills in data processing tasks