Anforderungsmanagement bei der Entwicklung von Data Warehouse-Systemen — Ein sichtenspezifischer Ansatz

Goeken, Matthias

doi:10.1007/3-7908-1612-4_9

Cited by 10 publications

(8 citation statements)

References 26 publications

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“…In the process models of the concepts by Goeken (2004Goeken ( , 2005Goeken ( , 2006, Holten et al (2003Holten et al ( , 1999, or Shanks and Darke (1999) the issue of validation is indeed Due to specific characteristics of analytical information systems, their development varies significantly from transaction-oriented systems. Specific method support is particularly needed for requirements engineering and its information-related component, information requirements analysis.…”

Section: Consolidation and Analysis Of Enhancement Potentialsmentioning

confidence: 98%

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Method Support of Information Requirements Analysis for Analytical Information Systems

2011

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The development of analytical information systems differs from the development of transaction-oriented systems. Specific method support is particularly needed for requirements engineering. The paper at hand evaluates the state of the art in information requirements analysis and identifies areas for further research. From a practice perspective, a need for further research on information requirements elicitation, validation, and management can be identified. Furthermore, in order to ensure the ongoing elicitation, documentation, and management of information requirements, more effort has to be invested into the development of a continuous requirements process perspective.

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Section: Consolidation and Analysis Of Enhancement Potentialsmentioning

confidence: 98%

“…Informational requirements particularly focus on content, quality, and visualization of information, while non-informational requirements refer to, e.g., information system security, performance, data protection, and maintainability (Goeken 2005).…”

Section: Introductionmentioning

confidence: 99%

Method Support of Information Requirements Analysis for Analytical Information Systems

2011

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“…In den Vorgehensmodellen der Ansätze von Goeken (2004Goeken ( , 2005Goeken ( , 2006, Holten et al (2003Holten et al ( , 1999 oder Shanks und Darke (1999) …”

Section: Konsolidierung Und Analyse Der Ausbaupotenzialeunclassified

“…B. auf Informationssystemsicherheit, -performance, -datenschutz und -wartbarkeit beziehen (Goeken 2005 Fettke (2006, S. 260) vorgestellte Prozess zur Reviewforschung angewandt, der sich aus den fünf Phasen "Problemformulierung", "Literatursuche", "Literaturauswertung", "Analyse und Interpretation" und "Präsentation" zusammensetzt. Informatorische Anforderungen fokussieren insbesondere auf Informationsinhalte, -qualität und -visualisierung, während sich nicht-informatorische Anforderungen z.…”

Section: Introductionunclassified

Methodenunterstützung der Informationsbedarfsanalyse analytischer Informationssysteme

Stroh

Winter

Wortmann

2011

WIRTSCHAFTSINFORMATIK

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“…In the data warehousing field we can speak about information requirements (Winter & Strauch, 2003), (Goeken, 2005), as opposed to the functional requirements that are usually used.…”

Section: Existing Methods For the Development Of Conceptual Models Fomentioning

confidence: 99%

Development of Data Warehouse Conceptual Models

Niedrite

Solodovnikova

Grundmane

Progressive Methods in Data Warehousing and Business Intelligence

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There are many methods in the area of data warehousing to define requirements for the development of the most appropriate conceptual model of a data warehouse. There is no universal consensus about the best method, nor are there accepted standards for the conceptual modeling of data warehouses. Only few conceptual models have formally described methods how to get these models. Therefore, problems arise when in a particular data warehousing project, an appropriate development approach, and a corresponding method for the requirements elicitation, should be chosen and applied. Sometimes it is also necessary not only to use the existing methods, but also to provide new methods that are usable in particular development situations. It is necessary to represent these new methods formally, to ensure the appropriate usage of these methods in similar situations in the future. It is also necessary to define the contingency factors, which describe the situation where the method is usable.This chapter represents the usage of method engineering approach for the development of conceptual models of data warehouses. A set of contingency factors that determine the choice between the usage of an existing method and the necessity to develop a new one is defined. Three case studies are presented. Three new methods: userdriven, data-driven, and goal-driven are developed according to the situation in the particular projects and using the method engineering approach.

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Anforderungsmanagement bei der Entwicklung von Data Warehouse-Systemen — Ein sichtenspezifischer Ansatz

Cited by 10 publications

References 26 publications

Method Support of Information Requirements Analysis for Analytical Information Systems

Method Support of Information Requirements Analysis for Analytical Information Systems

Methodenunterstützung der Informationsbedarfsanalyse analytischer Informationssysteme

Development of Data Warehouse Conceptual Models

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