What good data looks like: Exploring quality issues in BIM

Building Information Modelling (BIM) software uses advanced 3D modelling technology to create a digital representation of a construction project before it is built. Using this process, designers may simulate the effectiveness of various design solutions and make meaningful comparisons between them. Globally, BIM is commonly regarded as a best practice method for completing large-scale construction projects because of its reputation for increasing efficiency. However, the precision and calibre of the data utilised to construct the design is what ultimately determines the success of the end product.

What Good Data Looks Like: Exploring Quality Issues in BIM explores common data quality issues faced by all architects and designers, and how a leading sanitaryware manufacturer is responding to make digital design and planning easier and more reliable. First, we discuss the role of BIM in modern construction projects and the key challenges related to data quality. We also consider the difficulties in using manufacturer-specific BIM content before finally highlighting the factors that will help you assess the quality of such data.

To support BIM design and planning, Geberit offers manufacturer-specific BIM content in addition to conventional CAD data and intelligent tools. The Geberit BIM content consist of parametric 3D models that contain article-specific meta information. Their comprehensive approach ensures reliable and consistent data, allowing Geberit products to be incorporated easily and efficiently into even large and complex projects.

Download this whitepaper and explore common data quality issues faced by all architects and designers, and how a leading sanitaryware manufacturer is responding to make digital design and planning easier and more reliable.