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Information Management for Architecture and Civil Engineering Projects

THE PROBLEM

Architecture and civil engineering projects generate vast unstructured data from various independent contractors and suppliers. This data includes diverse content types, including 3D CAD documents, technical drawings, electrical, plumbing, air conditioning, photographs, survey reports, quotes, bids, invoices, and more. These documents are managed in local offices in a wide range of systems but often need to be sent to a project management team who have to organize and manage the information. The nature of the disparate systems and reliance on email and even postal submissions can lead to an increase in redundant, obsolete, and trivial (ROT) content. 


Having this data unclassified could be extremely costly, as lost information could delay development for weeks or months.  Understanding the latest documents and efficiently archiving project data without storing unnecessary information is critical for project success and data management. Archiving the project's files and documentation is also a considerable challenge, and reducing the capacity of a project's documentation by removing ROT would be hugely beneficial.


OUR SOLUTION

Zantaz Data Optimization offers a comprehensive solution for managing the extensive and varied data generated in architecture and civil engineering projects. The software includes AI-assisted document classification, ROT analysis, duplicate identification, and secure archiving. These features ensure efficient data organization, eliminate unnecessary data and provide easy access to current project information. Zantaz Data Optimization offers internal deployment, ensuring full data security control and enterprise standards compliance. Unlike cloud-based competitors, Zantaz Data Optimization provides robust AI capabilities for document classification and ROT analysis while maintaining data privacy and security.

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