Assessing the value of information
ICIS '89 Proceedings of the tenth international conference on Information Systems
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A Method for Demand-Driven Information Requirements Analysis in Data Warehousing Projects
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
SMEs, co-opetition and knowledge sharing: the role of information systems
European Journal of Information Systems
Building the Data Warehouse
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Privacy-Preserving Data Mining: Models and Algorithms
Privacy-Preserving Data Mining: Models and Algorithms
Methodologies for data quality assessment and improvement
ACM Computing Surveys (CSUR)
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
Why not one big database? Principles for data ownership
Decision Support Systems
Securely outsourcing linear algebra computations
ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
Design science in information systems research
MIS Quarterly
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In this paper we discuss the experience of the development of a real system for integrating data about turnover, price and selling volume of AOP UnoLombardia, the biggest association of fruit and vegetable growers in the Lombardia region (Italy), that includes primary Italian and European brands such as Bonduelle and Dimmidisi. The system represents an adaptation and transformation of traditional data warehouse repository oriented development to comply the requirements of a coopetitive environment, where multiple organizations are willing to cooperate over some topics but, at the same time, they compete in the market. Readers may found useful insights and lessons learned from the following contributions of the present work: (i) a methodology to design data warehouse applications in a coopetitive environment and (ii) an architecture based on the combination of virtual data integration and traditional ETL enforcing protection of sensible data.