Abstract
In order to combine data management, method management, and knowledge management an entity relationship model of marketing data is used. Particularities of marketing data and data analysis techniques as well as the requirements of the management of statistical data are taken into consideration. Both outcome of market research experiments and preliminary and final results of data analyses can be described. Data management in the knowledge-based system Wimdas is based upon this model. The implementation using a relational database system is discussed with emphasis laid on problems arising by the use for storage of statistical data and by distributing Wimdas in several components in a network. These problems are tackled by a server process acting as a gateway to the database.
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© 1992 Springer-Verlag Berlin · Heidelberg
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Baier, D., Marx, S. (1992). Data Management in a Knowledge-Based System for Marketing Research. In: Schader, M. (eds) Analyzing and Modeling Data and Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46757-8_20
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DOI: https://doi.org/10.1007/978-3-642-46757-8_20
Publisher Name: Springer, Berlin, Heidelberg
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