In 2021, the Proving Ground has featured fewer blog entries – but with good reason: This year, I put an emphasis on delivering live webinar presentations on a number of important topics that are the center of Proving Ground’s current business: Business Intelligence, Digital Twins, and Data Centralization.
These topics are greatly informing our own approach to managing data and how we are developing our product line consisting of Conveyor, Semantic, and Tracer. This blog entry includes links to three presentations that are thematically directing our focus.
In April, I published this blog post outlining the drivers for adopting business intelligence in the architecture and construction industry. My virtual presentation in May built on these topics and highlighted a number of examples of how business intelligence can be applied as a way to gain insight into data-rich 3D models:
A digital twin is a fanciful term referring to ‘real time’ digital representations of physical objects, processes, or environments. While there has been much media hype around the idea of the ‘digital twin’, it is often difficult to gauge this hype from reality. This presentation investigates practical applications of digital twins within the building design and construction industry. A simple proof-of-concept is also demonstrated using a business intelligence interface combining multiple sources of data.
Centralized data platforms are an important technology concept for delivering important data to business stakeholders. Centralized data infrastructure is often used in coordination with business intelligence technologies to support data reporting strategies. In this presentation, I discuss the need for centralizing BIM data and demonstrate our Tracer Server product platform as a way to achieve centralized data for Revit models.
If these topics interest you, I’d love to hear from you! Our PG Apps products are developed to support the workflow topics discussed in these presentations. Additionally, our consulting services can help you define strategies for implementing new technologies and data-driven workflows.