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Bachelor's Thesis - Planning, implementing, and testing of...

Last modified Nov 13, 2014


Still today data migration is often underestimated in both its complexity and scope [1] while yet being a high-risk-high-return undertaking [2]. In total 84% of the migration projects are either over budget, over time, or even both ([3], p.2). However, it is estimated that data migration is continuing to gain importance as the budget for data migration will raise from $ 5.1bn to a fore-casted $ 8.1bn in 2012 ([3], p.8). However, both technical and organizational difficulties have to be faced.

This thesis considers different approaches both from academia and industrial practice to the entire data migration process, consolidates methodologies, and provides a systemization of the concepts. It puts emphasis on highlighting success criteria and on the illustration of fallacies and pitfalls.

Subsequently, we try to put data migration in the context of related processes and examine the question of quo-vadis.

As an integral part of the thesis the data migration scenario of Mergers & Acquisitions (M&A) will be discussed for the sake of its relevancy.
So did in 2007 the world-wide M&A transaction volume sum up to as much as $ 4.7 trillion [4]. A single company like IBM or Microsoft has acquired 94 companies in the previous decade [5], and 137 firms since its foundation [6], respectively. This perfectly demonstrates that integration and thereby data migration is a frequent endeavor.
The paper aims at providing an explanation why data migration is crucial to merger success and explores the data integration constellations among merger partners.

As market consolidation effects and strategic advantages drive the M&A sector this thesis will analyze its contextual factors for data migration (e.g. immense time pressure) and describe typical requirements of its approaches (e.g. business continuity).

Additionally, the paper outlines several research questions that may be dealt with when doing future research on issues of data migration approaches with special regard to the integration of currently separate divisions or firms.


[1]Ipsita Chatterjee, Migrating Data Successfully ,, accessed: 28/08/2010

[2]John A. Koepke, Data Migration Done Right: Lessons from the Factory Floor, Financial Services – Insurance for Accenture, 2010,, accessed:01/09/2010

[3]Howard, P. , Potter C.,Data Migration in the Global 2000 - Research, forecasts and survey results , Bloor Research 2007

[4] A Holiday Toast to Biggest Year in M&A History,, Stephen Grocer, 2007, accessed #14/07/2010

[5] , last accessed 28/08/2010

[6], last accessed 28/08/2010

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