This article discusses how the use of data marts can help you to implement the traditional enterprise data warehouse.

Business activity monitoring (BAM) provides real-time access to critical business performance indicators to improve the speed and effectiveness of business operations. Ideally, BAM systems should allow enterprises to improve their operational performance by helping them perceive, understand and respond to events that have a significant impact on their business processes. Despite the fact that most enterprises have pressing needs to improve their operational performance in highly competitive and dynamic business environments, BAM systems have been poorly utilised. This is mainly due to the fact that there are no formal standards which enumerate what specific features BAM systems must include or theoretical models which support comparative analyses between BAM systems. Indeed, selecting a suitable BAM system is a challenge. To improve the ability of enterprises to understand and select a BAM system for their particular decision support needs, a BAM definitional model as well as BAM classification criteria are proposed.

Data Marts: Key to Reviving the Enterprise Data Warehouse

Improving the understanding of BAM technology for real-time decision support

Business Activity Monitoring (BAM) the term that Gartner, Inc. introduced to define systems that provide real-time access to critical business performance indicators in order to improve the speed and effectiveness of business operations. Despite the emphasis of BAM on the provision of low-latency views on enterprise performance, the literature on BAM also indicates the technical feasibility of a BAM approach that adds context from historical information stored in a data warehouse to real-time events detected by a BAM system, so as to help enterprises to improve their understanding of current monitoring scenarios. At this point there is a lack of studies that discuss the use of this approach to tackle real-world business problems. To improve our practical understanding of the potential applicability of this BAM approach, the paper will present a synthesis of existing research on BAM and data warehouse (DW) approaches to provide a basis for proposing feasible business scenarios to apply a combination of both technologies (BAM, DW). This study suggests that a contextualized BAM approach allows operational managers to respond better to the occurrence of events by facilitating a better understanding of the nature of the detected event.

background

Combining Business Activity Monitoring with the Data Warehouse for Event-Context Correlation - Examining the Practical Applicability of this BAM Approach.

Data Marts: Key to Reviving the Enterprise Data Warehouse

Citations

Improving the understanding of BAM technology for real-time decision support

Combining Business Activity Monitoring with the Data Warehouse for Event-Context Correlation - Examining the Practical Applicability of this BAM Approach.

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