Business Process Oriented Development of Data Warehouse Structures

Michael Böhnlein · Achim Ulbrich-vom Ende

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Big Data and Business Intelligence Advanced Database Systems and Queries Business Process Modeling and Analysis

Abstract

In recent years data warehouse projects have become popular to most companies. Unfortunately many of these projects come to grief due to missing engineering strategies and modeling standards. The common method for developing multidimensional data structures is deriving relevant datasets from underlying operational data sources. But in fact developing large data schemata for decision support applications requires more knowledge about the underlying business domain. It is obvious that for efficient decision making an approach is required which additionally focuses on goals and strategies of the company. This information can not be extracted by analyzing the operational data sources. We realized that commonly applied business process models can be used to handle this problem. In this paper we present a completely new approach to warehouse development — the derivation of data warehouse structures from business process models.

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References

1996The data warehouse toolkit: practical techniques for building dimensional data warehouses 1993Providing OLAP (On-line Analytical Processing) to User-Analysts : An IT Mandate 1998The Data Warehouse Lifecycle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses 2002Conceptual design of data warehouses from E/R schemes 1998The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom 1995Building a Data Warehouse for Decision Support 1999Deriving initial data warehouse structures from the conceptual data models of the underlying operational information systems 1999Designing the Data Warehouse: Key Steps and Crucial Issues

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2004Information requirements engineering for data warehouse systems 2010From User Requirements to Conceptual Design in Warehouse Design 2006Triple-driven data modeling methodology in data warehousing 2004Informational Scenarios for Data Warehouse Requirements Elicitation 2002Vorgehensmodell für die Informationsbedarfsanalyse im Data Warehousing

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