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Designing an Analytical Information Systems Engineering Method

Michalczyk, Sven; Scheu, Sven

Abstract:
With data being the new oil, leveraging analytical information systems has become critical for any organization. However, in order to successfully create value from analytical information systems, it is necessary to systematically support the entire lifecycle, from discovery, through development to operations in an integrated way. A broad spectrum of modern information sys-tems engineering methods and techniques has been suggested to support the entire information system lifecycle. However, existing methods are neither integrated along the entire lifecycle, nor contextualized for the situational context of analytical information systems engineering. In order to close this gap, we present in this research-in-progress paper our ongoing research effort to design an analytical information system engineering method that supports the entire lifecycle. Following the design science research paradigm, we intend to contribute design knowledge for information systems engineering methods with a specific focus on the important class of analyti-cal information systems. By instantiating our scientifically grounded method, we will support practitioners in more successfully executing analytical information systems initiatives.



Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator KITopen-ID: 1000119928
Erschienen in Proceedings of the 28th European Conference on Information Systems (ECIS 2020)
Veranstaltung 28th European Conference on Information Systems (ECIS 2020), Marrakesch, Marokko, 15.06.2020 – 17.06.2020
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt
Schlagwörter Business Intelligence & Analytics, Data Science, Information Systems Engineering, Method, Design Science Research
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