Interactive Dashboards for Multi-Modal Data Analysis: Insights from Rail Construction Projects

Abstract. The increasing volume and complexity of multimodal spatio-temporal data requires advanced approach for data exploration, integration and interpretation. This paper presents a flexible and extensible dashboard framework designed to support data-driven decision-making through interactive visualisation, exploration and analysis. The dashboard allows users to interpret structured data such as GNSS, IMU or temperature measurements as well as unstructured data types such as image files and contextual metadata. The dashboard follows the principle of combining data with reference data and display the process from raw to processed data. The concept is developed both for analysts and developers who need to identify suitable methods for analysing data and for subsequent debugging during the project. It supports analytical tasks such as pattern recognition, the integration of data sets and the validation of analysis results. By using InfluxDB for time series data management and Grafana for dynamic visualisation, the architecture ensures high scalability and responsiveness even with complex data sets. A use case from rail infrastructure monitoring shows how the dashboard facilitates data-driven insights and improves interpretability by linking multiple data perspectives. The integration of raw data, processed results and planned information enables users to align analysis results with operational objectives. This paper presents a reusable dashboard approach that improves decision-making and visual understanding of multimodal spatio-temporal data in applied cartographic and monitoring contexts.