A multi-driven approach to requirements analysis of data warehouse schema: a case study

• Autor(a) principal: Sá, Jorge Vaz de Oliveira e
• Data de Publicação: 2012
• Outros Autores: Carvalho, João Álvaro, Kaldeich, Claus
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/1822/22145
• topic: Requirement analysis; Data warehouse design; Case study

In this paper, we present a multi-driven approach to data modeling in data warehousing which integrates three existing approaches normally used separately: goal-driven, user-driven and data-driven; and two approaches usually not used in data warehousing field: process-driven and technology-driven. Goal-driven approach produces subjects and KPIs (Key Performance Indicators) of main business fields. User-driven approach produces analytical requirements represented by measures and dimensions of each subject. Process-driven approach propose improvements in business processes (by using and creating subject oriented enterprise data schema) to satisfy the KPIs, measures and dimensions identified in the previous approaches. Technology-driven approach is an enabler or an obstacle to be considered when we model a data warehouse data model. Data-driven approach is a combination of the results of previous approaches and results in a data model of a data warehouse. By using a multi driven approach with five stages, we can get a layered data warehouse model more aligned with organizational and individual needs. This will be illustrated by using examples of our case study.