Explaining Data Warehouse Data to Business Users - A Model-Based Approach to Business Metadata

V. Stefanov, B. List:
"Explaining Data Warehouse Data to Business Users - A Model-Based Approach to Business Metadata";
Vortrag: 15th European Conference on Information Systems (ECIS 2007), St. Gallen, Schweiz; 07.06.2007 - 09.06.2007; in:"Proceedings of the 15th European Conference on Information Systems (ECIS 2007)", Institute of Information Management, University of St. Gallen, (2007), 12 S.

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Abstract:


Data Warehouse systems today represent a single source of information for analyzing the development and results of an enterprise organization in a changing environment. The data in the data warehouse
describes events and statuses of business processes, products and services, goals and organizational units, and generally mirrors every aspect of the structure and behavior of the organization.
Business users are accustomed to their own vocabularies and concepts, and data interpretation is greatly improved by knowledge about context.
Surprisingly, information about the relationship between the data warehouse data and the organization is not made available to the data warehouse users or even recorded in a suitable way. In this paper, we present an approach that uses enterprise models and modeling techniques to record the at present mainly implicit knowledge about this relationship. We use models to derive Business Metadata, which forms an additional level of abstraction on top of the data-oriented data warehouse structure. Business metadata makes context knowledge easily accessible and improves the data interpretation for the business users.