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).
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