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Title:
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A MULTI-DRIVEN APPROACH TO REQUIREMENTS ANALYSIS OF DATA WAREHOUSE SCHEMA: A CASE STUDY |
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Author(s):
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Jorge Oliveira e Sá, João Álvaro Carvalho, Claus Kaldeich |
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ISBN:
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978-989-8533-14-2 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Requirement Analysis, Data Warehouse Design, Case Study. |
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Type:
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Full Paper |
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First Page:
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42 |
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Last Page:
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50 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 |
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