A metadata system for information modeling and integration
ISCI '90 Proceedings of the first international conference on systems integration on Systems integration '90
Information Resources Management in Heterogeneous, Distributed Environments: A Metadatabase Approach
IEEE Transactions on Software Engineering
The metadatabase project at Rensselaer
ACM SIGMOD Record
Executive information systems: emergence, development, impact
Executive information systems: emergence, development, impact
Executive information systems: a critical perspective
Information and Management
Using the data warehouse
Using EIS to respond to dynamic business conditions
Decision Support Systems - Special issue on executive information systems
Development practices for executive information systems: findings of a field study
Decision Support Systems - Special issue on executive information systems
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Change detection in hierarchically structured information
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
The model-assisted global query system for multiple databases in distributed enterprises
ACM Transactions on Information Systems (TOIS)
Managing the data warehouse
The ins and outs (and everything in between) of data warehousing
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Maintaining data warehouses over changing information sources
Communications of the ACM
Management issues in data warehousing: insights from the housing and development board
Decision Support Systems
The Strobe algorithms for multi-source warehouse consistency
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Enterprise Integration and Modeling: The Metadatabase Approach
Enterprise Integration and Modeling: The Metadatabase Approach
Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge
Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge
Expert versus novice use of the executive support systems: an empirical study
Information and Management
Efficient Snapshot Differential Algorithms for Data Warehousing
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
TSER: A Data Modeling System Using the Two-Stage Entity-Relationship Approach
Proceedings of the Sixth International Conference on Entity-Relationship Approach
The SDCC Framework For Integrating Existing Algorithms for Diverse Data Warehouse Maintenance Tasks
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Journal of Management Information Systems - Special section: Navigation in information-intensive environments
Evaluating probability of default: Intelligent agents in managing a multi-model system
Expert Systems with Applications: An International Journal
ACM Transactions on Management Information Systems (TMIS)
More applicable environmental scanning systems leveraging "modern" information systems
Information Systems and e-Business Management
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Executive information systems (EIS) that are capable of accessing multiple data sources (both online and offline) for on-demand, ad hoc analysis are needed to support the changing needs of corporate executives. A major shortcoming of existing EISs is that their database schema and data content are predetermined, fixed, and hard-coded, which leads to predefined data analysis patterns. In this paper, we propose a new EIS architecture that takes advantage of a knowledge-based mechanism known as the Metadatabase. The architecture enables executives to discover new informational structures, such as critical successful factors and perspectives from which to analyze these factors, that are useful for the analysis of an enterprise's business performance. The novel and on-demand data analysis needs of executives are supported by the online capability of the new EIS architecture, and we argue that the new architecture has better system flexibility and adaptability compared to existing EISs.