ops415 | undergraduate

Systems Thinking And Performance Measurement

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This course provides an overview of systems thinking and information to measure and optimize an organization's performance. Topics include introduction of systems thinking; tools for measuring organizational performance; organizational performance and measurement systems; data management and analysis; results implementation: decisions, improvement, and growth; and continuous measurement and monitoring for organizational improvement.

This undergraduate-level course is 5 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

topic title goes here

    Gaining Commitment and Accountability

    • Measure organizational performance using selected tools.
    • Define the principles of accountability and commitment.
    • Assess the benefits and challenges of effective scenario planning.

    Aligning Actions with Outcomes

    • Examine how strategic planning influences operational performance.
    • Interpret functional value maps and their impact on collaboration.
    • Explain the benefits of applying the right metrics to performance analysis.
    • Propose continuous measurement and monitoring processes that can be used to improve organizations.

    Enterprise Performance Management: Total Alignment

    • Evaluate elements of the Enterprise Performance Management process.
    • Describe how an Enterprise Performance Management plan can evolve over time.
    • Recommend changes to an Enterprise Performance Management plan that can help to optimize performance.

    Performance Management Needs

    • Explain the principles of systems thinking.
    • Discuss the gap between strategy and execution.
    • Evaluate differences between running a business and managing a business.
    • Analyze the impact to a company that does not have an Enterprise Performance Management process in place.

    Performance Information

    • Evaluate data analysis, management, and implementation processes.
    • Analyze data to make decisions that can lead to improvement and growth.
    • Explain the concept of managing by exceptions.
    • Evaluate different qualities of information, reporting types, and methods used to derive value from performance information.
    • Examine patterns, big data, predictive analytics, and data visualization principles used to improve decision-making.
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