Business Impact Analysis Engine for Process Failure Prediction
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Solution Overview
Problem
Existing business operations monitoring and management (BOMM) tools are unable to identify and report the impacts of resource malfunctions on business operations and goals, limiting their ability to provide proactive management and optimization.
Innovation Solution
A system incorporating a Business Impact Analysis Engine (BIAE) that utilizes data mining techniques, real-time monitoring, and predictive modeling to estimate the impact of IT resource failures and degradations on business processes, allowing for proactive intervention and optimization by simulating alternative configurations to minimize disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing performance reporting tools are used to monitor business operations, then visibility into business processes is provided, but the ability to identify and report impacts from resource malfunctions is lost
Solution Approach 1:
The system segments the monitoring function into two distinct components: a performance reporting tool for general business process visibility and a business impact analysis engine specifically for resource malfunction impact analysis. This segmentation allows each component to specialize in its function, with the BIAE capturing detailed resource-state-to-business-impact mappings that the general performance tool misses.
Solution Approach 2:
The business impact analysis engine acts as an intermediary between resource monitoring data and business performance reporting. It receives resource state information, analyzes it through learned models, and produces impact assessments that are then integrated into the performance reporting system, bridging the gap between technical resource data and business impact information.
2Productivity
If traditional monitoring tools are used, then operational visibility is achieved, but proactive management capability is limited
Solution Approach 1:
The system performs preliminary action by using the business impact analysis engine to predict and identify potential business impacts before they fully manifest. The engine continuously learns resource-state-to-business-impact mappings and can proactively alert managers to potential issues, enabling them to take corrective action before resource failures significantly disrupt business operations.
Solution Approach 2:
The system implements feedback loops where the business impact analysis engine continuously monitors resource states, compares them against learned models, and provides feedback about potential business impacts. This feedback mechanism enables proactive management by alerting operators to conditions that may lead to failures, allowing them to respond before actual business disruption occurs.
Data Source
AI summary
Embodiments of the present invention relate to a system and method for analyzing processes. Specifically, embodiments of the present invention relate to identifying a node of a process that is potentially affected by an affected resource using information relating to a link between the node and the affected resource, the process having a related process instance that has an execution stage, and applying an interval prediction model corresponding to the execution stage of the process instance and the node, the interval prediction model determining a probability that the process instance will reach the node before a designated occurrence.