“There is no substitute for knowledge.” (W. Edwards Deming)
After the publication of his book “Out of the Crisis”, W. Edwards Deming worked at a theoretical instrument, With which you are able to judge the status quo and to understand the necessary changes. The result is the System of Profound Knowledge. It consists of four elements:
- Apprehension for a system: A system consists of two or more elements and fulfils a purpose which the elements on their own are not able to do. One example is a orchestra consistig of different musicians. To perform well depends less on the individual talents but on how they are playing together. When this is not possible – because every musician just wants to look good – it goes to the disadvantage of the orchestra. A company also forms with its suppliers, customers, employees, shareholders etc. a system, where you can call the cooperation some sort of economy. Like in an orchestra the attemps to optimise individual parts without regard for the system may result in its destruction. Because of this Deming proposed as a goal of a system that everybody should win on the long term. In this context he described the conventional proceedings of a company as the attempt to get a bigger piece of the cake. Instead they should attempt to make a bigger caken.
- Knowledge about variation: In the statistical sense variation is the term for the diffusion of values. This diffusion can be noticed among persons, products, results, services etc.. Knowledge about variation is important for the following reasons:
- For production it is important that the results remain consistent. The more you deviate from a optimal value, the worse is that. A train is f.i. expected to arrive at the same time.
- The results of a process are having in themselves variation. When the variation is supposed to be reduced, the process has to be chaged. The aforementioned train can be expected to normally have the same amount of driving times. It is therefore not advisable to treat each drive as a special event.
- An unusual result is indicating an unusual event. When a train which usually is 5 minutes late arrives 50 minutes past its schedule, which usually does not happen, then there must be a special cause which ca be detected.
- When a desired goal lies outside the capability of a process, then it cannot be reached. When a train basically arrives 15 minutes late, you cannot expect it to be on time.
- To know what a process is able to achieve, it has to be stable, which means that it has to be free from special events. The more the delays of the train are within a certain frame, the easier you can examine ad improve the train .
- Theory of knowledge: To explain the world and the consequences of a deed, you need a theory. Management too has to know what’s gonna happen when implementing a measure. Thus management also is the Art of Prediction. A theory is also important to assess examples and experiences, because examples cannot prove a theory but at most disprove them. On a plane the angles of a triangle add up to 180 degrees. On a sphere this theory would not work. Finally the nature of theory makes clear that everything which is being observed and measured, doesn’t possess a “true” value, because the value depends on the method of the observation or the measurement.
- Psychologie: Because humans are involved in work, you have to realise that cooperation is a deciding factor in a gathering. As well you have to take into account the fact that there are differences between people. This shows f.i. in the manner of learning (some learn by reading, some by pictures etc.). Especially important is the difference between intrinsic and extrinsic motivation. Intrinsic motivation is motivation out of respect for oneself and for others. Extrinsic motivation is the attempt to motivate by reward and punishment. The problem with extrinsic motivation is that it goes at the expense of intrinsic motivation, because reward and punishment just motivate to get the reward and to avoid punishment, with all consequences. The American educationist Alfie Kohn points in his articles out that this way grades and even praise can be considered harmful.
The System of Profound Knowledge is the result of the interaction of these four elements.
To grasp and to implement the System of Profound Knowledge, you don’t need to be a system analyst or a statistician or a philosopher or a psychologist. The System shows how you can judge an organisation and how it ideally looks like. From this the necessary steps and tools for transformation are coming forth. When the System of Profound Knowledge is learned on a voluntary base, the knowledge necessary for the transformation is readily learned.
At the same time the System of Profound Knowledge helps to establish or to comprehend the methods of quality management such as the ”7 basic quality tools (Q7)” to Six Sigma. Just with “fads” it is important to comprehend the requirements for their successful implementation as well as their strengths and weaknesses. Deming mentioned in this context that in an attempt to learn the “Japanese secret”, excursions has been made. During these they learned for instance that quality circles are common over there. The lack of a theory lead to quality circles being implemented at home without grasping the requirements or their meaning. When they didn’t deliver the expected results or lead into problems, the eyes were set on the current “Method of the Day”.
In a conventional company the principles of the four elements are followed more or less, even without knowledge of their interaction. This knowledge may be missing for an effective implementation in quality management, the base is there so far. In the IT world things are the same except for one thing: In the common IT company variation is not being regarded. As it turned out in a discussion, Deming has attributed a special importance to variation and confirmed the impression of the writer that 70 to 80 % of his lectures are based on it.
To make this clear: In the IT sector they do apply statistical methods. Internet usage statistics are just an example of many. The problem with this examples is that they are applied in external departments like marketing or that – when they are used internally – the existence of some common variation is ignored. An example is performance appraisal where the employees are ranked and the position or the performance are only ascribed to the individual. But Deming has found out that performance depends to 94 % to the system and to only 6 % to the individual. Statistical methods with the objective to optimise the IT company in a context of quality management seem to be applied sparsely.
I just can make assumptions about the reasons. One reason can be that the IT world regards itself with its programming work as a logically acting system where each departure has a special cause (a view which according to Deming leads to uncalculatable damage). A connected reason might be that the IT sector regards itself as a pioneer who has to invent everything which it needs themself. From other sectors the Not-Invented-Here syndrome is known, where group think lead to not looking at developments in other groups.
But there is hope. On the one hand in the IT sector too there are people who are grasping the importance of the knowledge of variation for programming. One is David J. Anderson, who applies the Theory of Constraints for the improvement of project management in software developement and who for this purpose is taking variation into account. In his blog he delivers examples for common ad special causes in the IT sector. These you can analyse with statictical methods.
On the other hand a small company doesn’t need an elaborate system such as Six Sigma, whose implementation comes along with big efforts and may thus lead to more damage than benefits. When you start to solve existing problems with simple methods like the seven basic quality tools while taking into account the System of Profound Knowledge, you can communicate the effectiveness of quality management and later implement more advanced methods like the new seven quality tools. This way you can work your way from the solution of local problem to the improvement of the whole system (where local problems should be regarded in the context of the system).
When somebody knows about examples of the potential or actual application of statistical methods in an IT company, I would gladly hear about it.
- ZDNet.be: “In our own small IT world we remain after all the years still in an US mentality from the fifties, regarding quality.” – The Belgian consultant Peter Hinssen is waiting for a W. Edwards Deming for the IT sector. (in Dutch)