Semantic B2B integration: issues in ontology-based approaches
ACM SIGMOD Record
Ontology Management in Enterprises
BT Technology Journal
An Ontology-Based Approach to eCatalogue Management
BT Technology Journal
SPIDA — A Novel Data Analysis Tool
BT Technology Journal
Real Time Business Intelligence for the Adaptive Enterprise
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
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Operational risk is a function of the complexity of the business and the environment that the business operates in. Such complexities increase as the business or the environment become more dynamic, i.e. where change is a permanent feature and a factor to build into the management of the business. The key question that arises is how do businesses respond to such changes today and, if the nature of the business and the environment is becoming more and more dynamic, what actions can businesses take to predict and prepare for change. Viewed in this manner, operational risk becomes very closely related to the operational performance of the enterprise because it can be considered as dealing with changes that have a negative impact on the operational objectives. It is vital for enterprises to understand in real time how they are performing, and where on the spectrum of operational risk they are positioned. To accomplish this, it is essential to have a system for establishing the status of a business at any moment in time in relation to its performance objectives. This is the role of real-time business intelligence (RTBI), without which operational risk management could be out of date, or in some cases out of synchronisation with the business cycle, with serious consequences. This paper discusses the cornerstones of RTBI and demonstrates how these are also essential elements of an effective operational risk management framework.