Metrics used to measure risk levels and alert management to potential issues; essential for effective risk monitoring.

The graphical representation of information and data to communicate insights clearly and efficiently.

Software applications that enable data analysis to derive insights, trends, and patterns from data sets.

Structured processes for collecting, analyzing, and presenting data to inform decision-making.

Senior leaders responsible for guiding an organization, making strategic decisions based on risk insights.

The process of creating an interface that visually displays key metrics and data for quick understanding.

The use of technology to generate reports automatically, ensuring timely and accurate information delivery.

Combining data from different sources to provide a unified view for analysis and reporting.

An approach that prioritizes the needs and experiences of users in the design of dashboards and tools.

Creating preliminary models of a dashboard to test design concepts and gather feedback before finalization.

Involving all parties affected by a project to gather insights and validate the relevance of KRIs.

Using charts, graphs, and other visuals to depict data, making complex information easier to understand.

The degree to which data correctly reflects the real-world situation it represents, crucial for decision-making.

The process of making sense of data by analyzing and explaining its significance to stakeholders.

An organizational mindset that emphasizes using data analysis to guide business decisions.

A continuous process of refining and enhancing a system or product based on feedback and performance.

Concise reports that summarize key insights and recommendations for executives to facilitate quick decision-making.

Evaluating different analytics tools or methods to determine the most effective approach for a specific need.

Origins of data that can be used for analysis, including internal databases and external datasets.

The process of sharing information about risks and their implications to stakeholders clearly and effectively.

A system where outputs of a process are used as inputs for further improvement, enhancing decision-making.

Methods used to create visual representations of data, such as charts, graphs, and infographics.

The process of inspecting, cleansing, and modeling data to discover useful information and support decision-making.

Formal presentations designed to convey critical insights and recommendations to senior management.

Representative collections of data used for testing and training analytics tools and models.