Description: The added value in data visualization refers to the ability to combine and transform multiple data points into more meaningful and useful information for the user. Data visualization platforms, such as Grafana, allow users to create interactive dashboards that integrate data from various sources, such as databases, APIs, and cloud services. This added value manifests in how data can be analyzed and presented, facilitating the identification of patterns, trends, and anomalies. By aggregating data, users can gain a more comprehensive and contextualized view of their information, enabling them to make more informed decisions. The main features of added value in data visualization include the ability to customize visualizations, apply filters, and perform real-time calculations. This not only enhances the user experience but also optimizes the interpretation of complex data, turning them into valuable insights for strategic decision-making.
