Extending and formalizing the framework for information systems architecture
IBM Systems Journal
Quality dimensions of a conceptual view
Information Processing and Management: an International Journal
Improving data warehouse and business information quality: methods for reducing costs and increasing profits
Enterprise Master Data Management: An SOA Approach to Managing Core Information
Enterprise Master Data Management: An SOA Approach to Managing Core Information
Master Data Management
The DAMA Guide to the Data Management Body of Knowledge - DAMA-DMBOK
The DAMA Guide to the Data Management Body of Knowledge - DAMA-DMBOK
Communications of the ACM - Amir Pnueli: Ahead of His Time
The nature of theory in information systems
MIS Quarterly
Hi-index | 0.00 |
Collaboration and coordination within multinational enterprises need unambiguous semantics of data across business units, legal contexts, cultures etc. Therefore data management has to provide enterprise-wide data ownership, an unambiguous distinction between "global" and "local" data, business-driven data quality specifications, and data consistency across multiple applications. Data architecture design aims at addressing these challenges. Particularly multinational enterprises, however, encounter difficulties in identifying, describing and designing the complex set of data architectural dimensions. The paper responds to the research question of what concepts need to be involved to support comprehensive data architecture design in multinational enterprises. It develops a conceptual model, which covers all requirements for defining, governing, using, and storing data. The conceptual model is applied in a case study conducted at a multinational corporation. Well-grounded in the existing body of knowledge, the paper contributes by identifying, describing, and aggregating a set of concepts enabling multinational enterprises to meet business requirements.