RIB CostX

The addition of Custom Functional Templates, allowing users to create their own metrics to effectively analyse the function of a wider variety of project types. With Version 1.7, it’s a simple process to create and store functional templates that are directly applicable to each organisation’s unique project analysis requirements.

System Administrators can create Custom Functional Templates by defining the Key Project Information and Functional Details required to be entered for each project, and the metrics derived from them that then appear in the Functional Information Summary. The ability to define the information entered, and the calculations applied to that information, means all manner of project metrics can be included in the Functional Information Summary. This data can be arranged in user-defined groupings to provide a clear insight into the functional costs and design aspects of each project.

What’s more, this customisable, user-defined template is utilised as the basis of Functional Benchmarking between projects, to provide relevant and actionable information for project managers. Notable project metrics can be easily displayed in pie chart format in a Functional Analysis Report by simply dragging and dropping the data selections as shown below.

This new functionality supports enterprises that deal in benchmarking and conceptual estimating for a wide scope of major project functions. Managers now have the option to select one of our 25 in-built System Templates such as Residential or Shopping Centre, or else build a custom template that suits the specific function of the development at hand.

The ability to import code libraries in Excel format to iTWO costX^®. Prior to Version 1.7, only CSV format was supported for importing code libraries to iTWO benchmark. With this release, users will be able to select their preferred Excel file type for a smoother workflow.

Once the user has selected their chosen code library in the File Upload area, a preview of the data to be imported will display as shown below. From here, multi-level code libraries can be expanded or collapsed to verify data before the file is uploaded.