Requirements Engineering for Data Warehouses (RE4DW): From Strategic Goals to Multidimensional Model

Azadeh Nasiri; Waqas Ahmed; Robert Wrembel; Esteban Zimanyi

doi:10.1007/978-3-319-70625-2_13

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Title

Requirements Engineering for Data Warehouses (RE4DW): From Strategic Goals to Multidimensional Model

Authors

Azadeh Nasiri (WI) ^{[ 1 ][ P ]}
Waqas Ahmed
Robert Wrembel (WI) ^{[ 1 ][ 2.3 ][ P ]}
Esteban Zimanyi

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

data warehouse
requirements engineering
key performance indicators
multidimensional model

Abstract

EN Business Intelligence (BI) systems help organisations to monitor the fulfillment of business goals by means of tracking various Key Performance Indicators (KPIs). Data Warehouses (DWs) supply data to compute KPIs and therefore, are an important component of any BI system. While designing a DW to monitor KPIs, the following two important questions arise: (1) What data should be stored in a DW to measure a KPI, and (2) how the data should be modelled in a DW? We present a model-based Requirement Engineering (RE) framework to answer these questions. Our proposal consists of two major modelling components, namely, the context modelling component which is used to represent why and which data is required, and data modelling component which is used to model data as a multidimensional model.

Date of online publication

10.11.2017

Pages (from - to)

133 - 143

DOI

10.1007/978-3-319-70625-2_13

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-70625-2_13

Book

Advances in Conceptual Modeling : ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, Valencia, Spain, November 6–9, 2017 : Proceedings

Presented on

ER 2017: International Conference on Conceptual Modeling : Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, 6-9.11.2017, Valencia, Spain