Abstract. Building a data warehouse is a very challenging issue because compared to software engineering it is quite a young discipline and does not yet offer well-established strategies and techniques for the development process. Current data warehouse development methods can fall within three basic groups: data-driven, goal-driven and user-driven. All three development approaches have been applied to the Process Warehouse that is used as the foundation of a process-oriented decision support system, which aims to analyse and improve business processes continuously. In this paper we evaluate all three development methodologies by various assessment criteria. The aim is to establish a link between the methodology and the requirement domain.
Corporate performance measurement is focused too strongly on the traditional functional structure of an organisation and business processes are not measured systematically. Basically, business processes are designed to transform organisational strategies into operation and create a result of value to customers. As a business process is performed by a group of organisational units, processes and the organisational structure are interdependent. Consequently, their performance must not be measured in isolation. This paper illustrates how a data warehouse can be used to facilitate a Corporate Performance Measurement System by the integration of business process performance information into a traditional data warehouse that generally represents only the functional organisation. The Corporate Performance Measurement System provides a single source of information on the performance of the company. As a proof of concept in a business environment, a feasibility study has been implemented in the insurance sector. This performance measurement approach fully supports a modern organisational structure: the customer-oriented process perspective coexisting with the traditional functional structure.
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