Dual approach to organizational data planning

Abstract

Two major approaches to data modeling, view modeling and integration, and global data modeling, are compared and their consequences to organizational data planning are presented. The view modeling and integration approach is based on the analysis of application requirements, i.e. it is 'needs-driven', while global data modeling is based on the synthesis of primary data elements (data that supports the basic business operations) into entities and relationships, i.e. it is primary data-driven. On one hand, if the environment changes, the views approach may not produce a stable data model. On the other hand, the global data model may not provide a complete support for strategic information systems. The dual approach to organizational data planning combines the two approaches by minimizing their disadvantages and emphasizing their positive features. >