The integration of digital technology into all areas of quality management, fundamentally changing how organizations operate.

The graphical representation of information and data, allowing for easier interpretation of complex quality metrics.

Quantitative measures used to assess the performance and quality of processes, products, or services.

Continuous tracking of quality metrics as they occur, enabling immediate response to issues.

Utilizing digital tools and technologies to enhance quality management processes and standards.

Specific metrics used to evaluate the success of an organization in achieving its key business objectives.

The process of creating an interface that displays key metrics and data visualizations for easy access and understanding.

The process of combining different systems and tools to work together seamlessly in monitoring quality.

A method of evaluating a product by testing it with real users to gather feedback on usability and functionality.

A structured document outlining the testing strategy, objectives, resources, and schedule for validating a dashboard.

The ability of a system or product to perform its intended functions effectively.

The degree to which data correctly reflects the real-world conditions it represents, crucial for quality metrics.

Software applications used to create visual representations of data, aiding in the analysis and communication of quality metrics.

Involving relevant parties in the process of identifying and aligning quality metrics with business goals.

Evaluating two or more items to identify similarities and differences, often used in assessing traditional vs. digital practices.

Creating an early model of a dashboard to test concepts and gather user feedback before final development.

The movement of data through a system, essential for real-time monitoring and accurate reporting.

A method of self-assessment and improvement through reflecting on experiences and learning outcomes.

The process of ensuring that a product meets the requirements and standards set forth during development.

A set of protocols for building and interacting with software applications, often used for data integration.

The means by which a user interacts with a digital product, crucial for dashboard usability.

Groups composed of members from different departments working together towards a common goal, enhancing collaboration.

An iterative approach to project management and software development that emphasizes flexibility and customer feedback.

The science of analyzing raw data to make conclusions about that information, vital for informed decision-making.

Fictitious data used in testing and development to simulate real data without compromising actual information.