Interview on Inspection Data in Construction

This document is an interview with Marcel Poser, CEO of Screening Eagle, discussing the significance of inspection data in the construction industry. It outlines various types of data, including Big Data, Bad Data, and Deep Data, and their implications for structural health and asset management. The interview emphasizes that quality inspection data is crucial for enhancing safety, reducing costs, and improving decision-making processes. Poser explains that while Big Data can provide valuable insights, the presence of Bad Data can lead to significant financial losses, as evidenced by a report indicating that bad data cost the global construction industry approximately 1.84 trillion dollars in 2020. The concept of Deep Data is introduced as a superior alternative, characterized by its quality and actionable nature, which can be collected and analyzed efficiently using modern technologies. The document also touches on the importance of adopting digital strategies to minimize the risks associated with poor data collection practices.