Authors:
Gabriel Cavalheiro
1
;
Ajantha Dahanayake
1
and
Richard Welke
2
Affiliations:
1
Faculty of Technology, Policy and Management, Delft University of Technology, Netherlands
;
2
Center for Process Innovation, Georgia State University, United States
Keyword(s):
Business Activity Monitoring, Data Warehouse, Real-Time Event, Historical Data, Push-Based, Performance-Indicators.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Organisational Issues on Systems Integration
Abstract:
Business Activity Monitoring (BAM) is a term introduced by Gartner, Inc to define systems that serve to provide
real-time access to critical business performance indicators to improve speed and effectiveness of business operations. Despite the emphasis of BAM on the provision of low latency views on enterprise performance, literature on BAM also indicates the technical feasibility of a BAM approach, which adds context from historical information stored in a data warehouse to real-time events detected by a BAM system so as to help enterprises improving understanding of current monitoring scenarios. However, at this point, there is a lack of studies that discuss the use of this approach to tackle real-world business problems. To improve practical understanding of the potential applicability of this BAM approach, this paper will present a synthesis of existing research on BAM and data warehouse to provide an objective basis for proposing feasible business scenarios for applying the co
mbination of both technologies. This study reveals that the noted BAM approach empowers operational managers to respond in a more precise manner to the occurrence of events by enabling a better understanding of the nature of the detected event.
(More)