Abstract
Data migration projects might sound exotic. They are not. Instead, they are common in all medium and large enterprises, e.g., when replacing applications with new (standard) software or when consolidating the IT landscape in the aftermath of mergers and acquisitions activities. General-purpose methodologies such as Scrum focus on managing projects. However, they do not discuss (data-migration) domain-specific tasks. These tasks are the focus and contribution of this paper. It elaborates and compiles them into a process-model. The model defines the logical and temporal dependencies between the tasks and clarifies roles and responsibilities in a migration project. Thereby, the variety of used know-how-sources sets this paper apart from any previous work in this area. We synthesize not only existing literature and own project experience in the German automotive and the Swiss banking sector. We also incorporate the results of twenty-five qualitative interviews from various industry sectors guaranteeing a high validity and applicability of our findings.
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Haller, K., Matthes, F., Schulz, C. (2012). A Detailed Process Model for Large Scale Data Migration Projects. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds) Business Information Systems. BIS 2012. Lecture Notes in Business Information Processing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30359-3_15
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DOI: https://doi.org/10.1007/978-3-642-30359-3_15
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