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Detecting anomalies in migrated data for enterprise resource planning implementation
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URL
Journal Title
Journal ISSN
Volume Title
School of Business |
Master's thesis
Electronic archive copy is available via Aalto Thesis Database.
Authors
Date
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
89+3
Series
Description
Thesis advisor
Malo, PekkaKuosmanen, Timo