Description
The architecture, engineering, and construction (AEC) industry generates a significant amount of data that helps in making informed data-based decisions and speeding up projects delivery. However, information derived from the data is only as good as its quality and may pose high risk to all stakeholders if not validated diligently. In this class, we will explore different methods of data validation, including 1) a reactive approach based on stakeholder feedback and observed poor performance signs, 2) a proactive approach involving the use of various data export and visualization methods to access data quality, and 3) innovative automated real-time validation techniques using custom tools and event-driven programming to ensure data consistency and prevent invalid entries. In this session, you'll learn about quality management and how to maximize the Autodesk Construction Cloud platform, other Autodesk products, and custom solutions developed using available APIs to validate data, ensure compliance with standards, and mitigate risks.
Key Learnings
- Learn about quality management challenges and the growing importance of data in the AEC industry.
- Discover the risks of a reactive data-validation approach, and its negative impact on project delivery and your organization.
- Learn about defining methods of proactive and automated data validation using Autodesk products, business intelligence, and custom tools.
- Learn about validating data in real time using the Revit API, Autodesk Construction Cloud, and events-driven programming to ensure consistency.