Program Overview
Actual values of each KPI should be measured according to the measurement frequency agreed. The quality of performance reports and dashboards and following review discussions depends to a great extent on the quality of data collected to measure the actual values of KPIs. One of the key challenges for the majority of performance management systems is the difficulty to measure high quality performance data on time. This module provide the needed knowledge and skills about the different data collection tools and how it be used effectively and efficiently to collect accurate, timely and reliable.
Program Objectives
Upon the successful completion of the module, participants should be able to:
- The importance and challenges of collected high-quality timely data of actual performance measures
- Identify the key attribute of data quality
- Understands the difference between primary and secondary resources of data
- Realize situations where sampling is needed to measure KPIs values
- Identify the different sampling techniques
- Identify the different data collection techniques and how to use them effectively
- Understand how satisfaction can be measured
- Conduct data quality audit
Program Key Content
Data Sources
- Primary Sources
- Secondary Sources
Scope of data collection
Sampling Techniques
Sampling Unit
Analyzing Unit
Sampling Errors
Data Collection Techniques
Measuring Satisfaction
Case Study: Measuring medicine availability
Performance Data Management Systems
Sample Slides
