Goal-directed requirements acquisition
6IWSSD Selected Papers of the Sixth International Workshop on Software Specification and Design
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
Reconciling requirement-driven data warehouses with data sources via multidimensional normal forms
Data & Knowledge Engineering
An MDA approach for the development of data warehouses
Decision Support Systems
Key performance indicators: developing, implementing, and using winning kpis
Key performance indicators: developing, implementing, and using winning kpis
Extending OCL for OLAP querying on conceptual multidimensional models of data warehouses
Information Sciences: an International Journal
From UML/OCL to SBVR specifications: A challenging transformation
Information Systems
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Strategic models for business intelligence
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Composite indicators for business intelligence
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Incorporating traceability in conceptual models for data warehouses by using MDA
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Monitoring strategic goals in data warehouses with awareness requirements
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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Key Performance Indicators (KPI) measure the performance of an organization relative to its objectives. To monitor organizational performance, such KPIs need to be manually implemented in the form of data warehouse queries, to be used in dashboards or scorecards. However, dashboards include little if any information about business strategy and offer a scattered view of KPIs and what do they mean relative to business concerns. In this paper, we propose an integrated view of strategic business models and conceptual data warehouse models. The main benefit of our proposal is that it links strategic business models to the data through which objectives can be monitored and assessed. In our proposal, KPIs are defined in Structured English and are implemented in a semi-automatic way, allowing for quick modifications. This enables real-time monitoring and what-if analysis, thereby helping analysts compare expectations with reported results.