6.6 Analysis Configuration

Analysis configuration serves as a foundational framework for conducting stress tests or scenario analysis within a project. It specifies the results or insights that the analysis aims to produce. These may include quantitative metrics, qualitative assessments, risk evaluations, or strategic recommendations. Defining clear outcomes helps align the analysis with the project's goals and stakeholders' needs. An analysis configuration is reusable across multiple projects, particularly when the same analytical approach or scenario framework is applicable. By linking a single configuration to multiple projects, organizations can streamline their analytical efforts, ensure consistency, and leverage past learnings and best practices. It provides a road map for researchers, analysts, and stakeholder, outlining the steps to be followed and the parameters to be considered. This ensures rigor and consistency in the analysis methodology. An analysis configuration consists of a scope, metrics, models, variables and an auto-created composite pipeline.

Scope -The scope outlines the boundaries and objectives of the analysis. It defines what aspects of the project or system is examined and what specific outcomes are sought. This ensures clarity and focus throughout the analysis process.

Metrics - Metrics are the outcomes that the user would like to assess as part of a scenario analysis. The user would like to assess the impact of a particular scenario on the metric or also compare the metrics across different scenarios to understand how their portfolio fares under different scenarios.

Models and Processes - This section describes the analytical models, methodologies, and computational processes utilized in the analysis. It may involve mathematical models, statistical techniques, simulation methods, or scenario-building frameworks. Providing transparency about the models and processes enhances the credibility and reproducibility of the analysis.

Variables - These are the factors or parameters that can be changed or observed during the analysis. They are inputs to the scenarios, or conditions under which the analysis is conducted.

Composite Pipelines - Are generated based on selected metrics within the configuration and they are auto-created when creating an analysis configuration. These pipelines facilitate execution of analytical processes, enhancing efficiency and automation.