When I was lecturing at SIMM (Singapore Institute of Materials Management) I was asked to develop and deliver a course on Supply Chain Intelligence to students studying a Logistics Degree. The objective of the course was to illustrate the value of using business metrics to monitor the achievements of an organisation through the use of Business Intelligent tools.
This proved to be quite a challenge as many students were not familiar with key management ratios. Also they had no previous work experience and could not conceive of the value of business performance measures to an organisation. Whilst researching course material to explain the value of Business Intelligence, I came across an excellent document called “The Business Performance Handbook” produced by the Performance-Based Management Special Interest Group (PBM SIG) a U.S. Department of Energy (DOE) organisation.
In the document they define a performance-based management programme as a systematic approach to performance improvement through an ongoing process of establishing strategic performance objectives; measuring performance; collecting, analyzing, reviewing, and reporting performance data; and using that data to drive performance improvement.
This fit well with my understanding of Performance Management and seemed to provide a good framework for the lecture:
· Step 1: Define organizational mission and strategic performance objectives.
· Step 2: Establish an integrated performance measurement system.
· Step 3: Establish accountability for performance.
· Step 4: Establish a process/system for collecting performance data.
· Step 5: Establish a process/system for analyzing, reviewing, and reporting performance data.
· Step 6: Establish a process/system for using performance information to drive improvement.
One of the more interesting points, raised in Step 3, was the importance of accountability to the success of performance management. This also reinforced my belief that key Performance Indicators should be derived through a decomposition of processes and their key ratios. Through the decomposition KPI’s can then be assigned to individuals who are then accountable for ensure operation performance is met. Also by decomposing the KPIs we can analyse the impact of non-performance, and improvements made through tactical adjustment to the plan.
Using a conceptual framework stimulates thought about what should be measured. Frameworks are useful to organise ideas, identify common vocabulary, and ensure sufficient coverage of the performance measurement system. Some frameworks fit particular organisations better than others. But rather than take a considerable time, and investment, to decide, which is the best approach I would suggest it really does not matter as any framework will help get an organisation started. Later when updating performance measures, it is useful to review other frameworks to identify new ideas and approaches that might improve your system. There are several Frameworks available and below are some of the better known ones:
The Balanced Scorecard - In 1992, Robert Kaplan and David Norton introduced the Balanced Scorecard concept as a way of motivating and measuring an organisation’s performance.
SCOR Scorecard - Has over 200 key performance metrics to monitor overall supply chain performance (level 1 metrics), as well as, many focused metrics to help a specific process to improve level 2 and 3 metrics. This metrics are used to build performance trends for areas under improvement, or to compare against industry best practice performance.
The ”Critical Few” Performance Measures - Having too many measures—therefore generating a large amount of routine data—could distract senior management’s focus from those measures that are the most critical to organisational success.
Performance Dashboards - A performance dashboard is an executive information system that captures financial and non-financial measures as indicators of successful strategy deployment.
The Malcolm Baldrige National Quality Award Criteria - In 1988, the Malcolm Baldrige National Quality Award (MBNQA) was instituted to promote total quality management (TQM).
Six Sigma and its derivatives - is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to service.
Back to the lecture: Using a Business Intelligence tool with a predefined demonstration made it easier for me to help the students understand the value of Performance Management and how it fit in to the rest of their course work. As they were Logistics students I used SCOR.
This led me to believe that before embarking on a Performance Management Project it would be useful to demonstrate the power of BI to management and the stakeholders. Also to stress that acceptance of accountability is, key to the future success of the project.