Paper Info
Title
Real-time Performance Monitoring for an Enterprise Information Management System.
Abstract
Enterprise information management systems deal with management of business information within organizations in order to support decision-making processes or day-to-day operations that require the availability of knowledge. The business information from such systems is typically analyzed using monitoring systems that are designed with traditional data-warehouse and batch ETL (extract, transform and load) technologies. Often, the batch nature of such technologies imposes undesirable delays in the visibilities and evaluation of the performance, opportunity, and threats for the rapidly changing business environment. In this paper, we present the architecture and implementation of a business performance monitoring system with real-time monitoring capability for an enterprise information management system that handles electronic contracts. A novel capture, transform, and update process based on database triggers that is capable of incrementally updating the performance data warehouse in real time will be given in detail. To simplify and support real-time data, an effective data model based on database views to combine historical and real time data is introduced in the data store of the monitoring system. An actual implementation of a performance monitoring dashboard will be given to demonstrate the effectiveness and practicability of our architecture.
Year
DOI
Venue
2008
10.1109/ICEBE.2008.93
ICEBE
Keywords
Field
DocType
real-time performance monitoring,performance data warehouse,business information,monitoring system,performance monitoring dashboard,data store,business performance monitoring system,real time data,real-time data,effective data model,enterprise information management system,databases,key performance indicator,data models,real time systems,management information systems,information management system,decision making process,business,real time,organizations,data warehouses,data model,data warehouse
Data warehouse,Data mining,Enterprise architecture,System of record,Computer science,Digital firm,Enterprise information management,Enterprise information system,Enterprise information integration,Enterprise data management,Database
Conference
ISBN
Citations 
PageRank 
978-0-7695-3395-7
5
0.60
References 
Authors
4
2
Name
Order
Citations
PageRank
Trieu C. Chieu117417.87
Liangzhao Zeng21609111.23