Auditing and Improving Performance Information Systems

Effective performance management not only relies on the clarity of performance goals and measures, but also on the quality of the supporting information. When developing effective performance measures, a system must be in place to assess the validity and reliability of our performance information. Acquire the skills necessary to create a streamlined performance information system that supplies all managers with credible information to help drive the right decisions.

Key Methodologies Covered

This training will focus on the 11 key aspects of quality performance information, and ensure that a performance management framework, such as the Logic Model, is developed to communicate all key aspects. This framework will aid government managers in not only creating performance goals, but establishing criteria to determine the quality and credibility of performance information for government programs.

Creating Reliable, Timely & Useful Performance Measurement Systems in Government
• Develop a performance measurement system that accounts for goals, measures and key outputs
• Communicate the essential steps necessary to ensure quality data

Designing and Reporting Performance Measures that Management and Managers Can Actually Use
• Update on new data quality standards guidelines issued from OMB
• Evaluate performance measurements based on relevancy, data collection costs, timeliness of information, and data source quality

Validity, Verification and Data Quality Standards for Government Performance Information Systems
• Lessons-learned on how data reflects programmatic outcomes
• Benefits of the development of data methodologies and auditing techniques to improve performance systems

Data Standardization Across Program Managers: Establishing Common Measures, Definitions and Reporting Standards
• Collect, categorize and report performance information
• Audit and detect inconsistencies in performance information
• Adhere to reliability and relevancy standards of information

2:45

Examining the Quality of Data Sources and Evaluating Costs and Benefits of Individual Measurements
• Define the measures used in management decisions
• Assess data collection, reporting and evaluation costs
• Examine the quality of data sources

3:45

Partnerships Session: Forging Manager - Auditor and Stakeholder Relationships to Improve Performance Measurement Quality and Use
• Establish beneficial auditor-manager relationships
• Define strategies for improving the quality of program partners to report meaningful and accurate performance information

4:45

Adjourn

Creating a Comprehensive Maturity Model for Performance
• Set a quality threshold for performance information
• Streamline the number of performance measures
• Use measures to drive change in government

Best Practices for Implementing OMB Data Quality Guidelines
• Use model approaches and address complaints about data quality
• Improve data quality systems consistent with OMB guidelines

Technology Linkages: Using the Web, GIS, and other Technologies to Improve Performance Reporting Systems
• Integrate performance information systems with Geographic Information Systems
• Create online and electronic methods for tracking and reporting

1:00

CASE STUDY: A Measurement System that Drives Decision-Making
• Create reporting systems that aid in decision-making needs
• Integrate performance measurement and information technology strategies to drive data reporting and accountability

2:00

Application Workshop: Devising Performance Measures Consistent with Data Quality and Audit Standards
• Align performance goals and measures with agency data systems
• Address validity in the strategic design of your system
• Incorporate data standards into the strategic architecture of your performance measurement system

Adjourn