Not all Data are Numbers by Keith Peterson
November 8th, 2011 Posted in Business Process Improvement, Lean, Six Sigma | Comments OffSix Sigma and Lean both have roots in manufacturing. That doesn’t limit their usefulness in making breakthrough improvements in service and transactional processes; you just have to be aware of biases that may be embedded. One that is often seen occurs during the Analyze Phase of a project. More precisely, it occurs before a project is even initiated but is in anticipation of the upcoming analysis.
“We won’t be able to do this as a project because we don’t really have any data and it will take too long to generate it”. When statements like that are made, they inevitably include the built-in assumption that “data” equals numbers and data analysis has to include statistics. Although statistical analysis of a process can yield significant insights when properly applied, as much information and even more can be found using tools and techniques that do not rely on statistics. Value Analysis and Process Analysis techniques provide a suite of powerful tools for improving results. The data they leverage is found in the structure of the process itself; they do not require the collection of measurements across a process to yield powerful gains.
Rath & Strong pioneered Value Analysis Techniques (through consulting & training) with efforts by Edward Hay. Ed developed a simple but effective way to identify waste in any process—manufacturing, transactional, or service. By applying the rules Ed developed to a process, teams can highlight and target opportunities for substantial reductions in the time required to complete any task. When properly applied, the new perspective they provide will often leave teams smiling meekly and shaking their heads. “…and that’s the way we’ve always done it”. Importantly, it also leaves teams with a clear understanding of what to change to cut process times by half and more.
Process Analysis also provides a powerful, non-numeric look into causes of delays and defects. Techniques such as “spaghetti diagrams” will highlight inefficiencies in the layout of a process. This is equally effective whether analyzing the layout of a manufacturing floor or a processing center. In every case where this technique is used, the results exceed initial benefit estimates. Three days of wasted movement in an application form in a financial processing center were identified using this and similar tools. When the highlighted changes were made, the gains in the average processing time exceeded two weeks. The inefficiencies in the movement of the “thing” going through the process were telling indicators of even more damaging bottlenecks of the enabling information necessary to move it through.
So don’t let a “lack of data” prevent you from making breakthrough improvements in your results. Once you free yourself from the incorrect assumption that the only analysis of value is a p-value, you open up an entire suite of new opportunities. When properly applied, the techniques provided in Value Analysis and Process Analysis tools will provide helpful insights and meaningful benefits to any process, even yours, in achieving Business Process Improvement.