Organizing iTwin data

Managing large datasets in iTwins, particularly for complex assets like roadways or buildings, can be challenging. Grouping and Mapping addresses this by organizing data into logical groups, making it easier to access and work with key subsets. This boosts efficiency across large projects, enabling teams to quickly reference relevant data and simplify design reviews and updates.

In collaborative design environments, consistency is key. Library Components help teams maintain this consistency by offering a catalog of reusable components that can be easily incorporated into designs. As the catalog grows with new contributions, it serves as a valuable resource for the project or organization. This promotes collaboration, ensures standardized elements are accessible, and enhances the overall quality and coherence of the design.

IoT sensors provide valuable real-time data for asset management, but organizing and centralizing this data can be a challenge. The Sensor Data API simplifies this by allowing teams to aggregate and manage sensor data from multiple sources in a single place. Once the data is integrated, it can be visualized using iTwin IoT, providing clear insights into asset health and performance. Teams can track key metrics like temperature, pressure, and vibration, and set custom alerts to proactively address potential issues before they escalate.

Enterprise systems like SAP, Microsoft SharePoint, and IBM often contain valuable data that enhances iTwin insights. The Enterprise Data Federation Service (EDFS) simplifies the integration of this external data through custom integration packages. This service standardizes data integration across projects while ensuring that access to sensitive information is controlled. By defining roles and permissions, teams can restrict access, ensuring only authorized users can view integrated enterprise data within the iTwin environment.