starER: a conceptual model for data warehouse design
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Multidimensional normal forms for data warehouse design
Information Systems
An OPM-based Method for Transformation of Operational System Model to Data Warehouse Model
SWSTE '05 Proceedings of the IEEE International Conference on Software - Science, Technology & Engineering
MDX Solutions: with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
MDX Solutions: with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
The Composite OLAP-Object Data Model: Removing an Unnecessary Barrier
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Model driven development for business performance management
IBM Systems Journal - Model-driven software development
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
Automatic construction of multidimensional schema from OLAP requirements
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Extending visual OLAP for handling irregular dimensional hierarchies
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
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The goal of this paper is to demonstrate how interfaces of Data Warehouses and OLAP may be used in holistic Model-driven development process of applications of enterprise. Traditionally, the main responsibilities of Data Warehouses and OLAP are concerned with relation to data analyzing and reporting activities. However, the real power of data analysis lies in possibility to support dynamic formulation of queries and analyzable data structures to respond to emerging needs of users and other applications of enterprise and the Web. From the business goals and processes viewpoint, there is no difference between operational systems and Data Warehouses/OLAP. The proposed Model-driven methodology brings possibility to automate development of enterprise applications extended with analytical capabilities, incorporating feedback from OLAP tools into computerized business processes, and tendering analysis results for business improvement. Proposed metamodels and transformations are extension of our previous work, which was focused on generating normalized multidimensional data models on demand. In this paper, wider possibilities to obtaining well-formed warehouse schemas, ensuring completeness of warehouse data, and using them in Model-driven development process are considered. The work is supported by Lithuanian State Science and Studies Foundation according to Eureka programme project “IT-Europe” (Reg. No 3473).