Using neural networks to put customer satisfaction data into action

Customer satisfaction analyses often suffer from the fact that it is difficult to compress the large amount of gathered data material into relevant, concrete action recommendations for decision makers, whereby the practical significance and operative convertibility of the results is particularly disputed.

Using neural networks to put customer satisfaction data into action

Klaus Stadtler and Thomas LiehrInfratest Burke Gmbh Co., Germany

Measuring Customer Satisfaction

Customer orientation is a key business issue. Human beings do business with human beings, not with companies. A company therefore has to manage its relationship with its business partners. Monitoring customer reactions is becoming an increasingly important part of corporate market orientation. It would appear that customer satisfaction research and consulting approaches will be a very important market in coming years.

The basic goalof any customer satisfaction measurement program is to provide a...

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