Gathering the Right Information at the Right Time

Abstract

In order to build accessible and effective means for decision-making, enterprises gather large amounts of data on their distributed information sources and, in some cases, on external repositories. After, the information gathered is analysed, selected, filtered, transformed and integrated in special data storage units, commonly named by data warehouses systems. To do all the previous tasks properly, it is necessary to dispense significant efforts on the enterprise functional and operational analyse processes and on the definition and implementation of mechanisms that ensure effectively the operations involved with the “migration” of data into the data warehouse system. Moreover, it is also necessary to guarantee consistency, permanent data availability, and high quality levels on the information stored on the data warehouses. Thus, through the combination of information systems and data warehousing techniques, and agent-based technology, we designed an intelligent data warehousing system management architecture. The architecture’s model includes all the passive and active components—data resources, end-users, and agents—related to system management, information gathering, and fault tolerance mechanisms, for an intelligent data warehousing system.