Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Enterprise systems play a central role in the business processes and management of data
within an organization. However it is not uncommon for organizations to posses a multitude
of autonomous systems. This thesis examines the way organizations can integrate financial
data from different autonomous source systems and examines different factors that can have
an impact on data integration processes. The empirical findings were gathered through a case
study at Sandvik, a large Swedish industrial firm, making use of qualitative research
techniques. The findings contribute to create an in-depth understanding of financial data
integration processes. The empirical findings show how an organization can accomplish
financial data integration without tight coupling of autonomous systems. Moreover the
research contributes by describing various organization and technological factors that impact
data integration. The findings indicate that a decentralized organizational structure and
singular system architecture play an important role in financial data integration processes.
Hereby the research helps to further explore the topic integration within enterprise system
research and provides context behind the organizational and technological factors that
influence financial data integration processes.
2016. , 53 p.
financial data integration, system integration, enterprise system, autonomous systems, financial reporting