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TECHNOLOGYfocus<br />
reap its benefits. By implementing the<br />
following best practices, teams can<br />
leverage their CDE to reduce errors, waste,<br />
and miscommunication.<br />
1. Make the Right Data Accessible at the<br />
Right Time<br />
With all project data centralised, it's<br />
important to prevent the confusion that can<br />
arise from sharing project data too early or<br />
too late in the process. Ideally, the CDE<br />
allows for project managers to segment<br />
users into groups and control which<br />
information those groups can access,<br />
when, and how they can interact with it.<br />
2. Streamline Workflows with Automation<br />
Using a solution that supports application<br />
programming interfaces (APIs) allows for<br />
connecting the CDE with a wide variety of<br />
systems now and in the future, such as<br />
ERP systems and document management<br />
tools. That connectivity can then be used<br />
to improve accuracy and efficiency. For<br />
example, an automated workflow between<br />
the CDE and ERP could trigger payments<br />
to surveyors when official documentation is<br />
uploaded and shared through the CDE.<br />
3. Ensure Data Integrity with One-to-One<br />
Mapping<br />
With multiple systems from various<br />
technology providers feeding and<br />
extracting data from the CDE, there is a<br />
risk of data integrity loss. The right CDE will<br />
maintain the quality of the data, no matter<br />
which programmes various stakeholders<br />
use. It will offer one-to-one data mapping,<br />
which is the process of matching fields<br />
between systems without stripping or<br />
editing data.<br />
4. Prevent Data Clutter<br />
During the implementation process it is key<br />
that the CDE supports the data being<br />
captured in a way most useful to the teams<br />
involved, by for instance using customised<br />
and standardised fields and attributes to<br />
provide guardrails for the information that<br />
users can enter, ultimately preventing data<br />
overload, reducing errors and visual clutter.<br />
5. Use a CDE that Supports Open<br />
Standards<br />
A CDE that treats all data from various<br />
sources equally facilitates the sharing<br />
and exchange of data. Support for open<br />
standards also eliminates the risks that<br />
come with manual data entry and poor<br />
data integrity and facilitates information<br />
sharing between any tool without losing<br />
or corrupting data.<br />
SELECTING THE RIGHT CDE<br />
Teams working on building construction<br />
projects of all kinds use Trimble Connect<br />
as their BIM-centric CDE, plus much<br />
more. In addition to integrating with a<br />
variety of Trimble products and third<br />
party applications, Connect allows all<br />
users to view project information and<br />
data-rich models in real time.<br />
Stakeholders can also assign and review<br />
tasks, monitor activity, and automate<br />
versioning so users always know they're<br />
viewing the latest documents. These<br />
features set the foundation for the<br />
Constructible Process, an approach that<br />
connects all phases and trades of a<br />
project to reduce risk.<br />
The more complex a construction<br />
project is, the bigger the need for a CDE<br />
that enables teams to send and receive<br />
data bidirectionally, view and interact<br />
with project models, and improve their<br />
data analysis capabilities. A CDE like<br />
Trimble Quadri is specifically geared<br />
towards linear infrastructure projects that<br />
combine BIM and GIS capabilities. It<br />
also enables the bidirectional flow of<br />
data directly between the model and<br />
internal systems. It is object- and<br />
process-based, with all information<br />
being appended to the model, which is<br />
updated continuously throughout the<br />
project - meaning there are no versions<br />
to manage. By using a task-based<br />
approach, the CDE enables teams to<br />
manage their entire BIM execution plan<br />
within the system.<br />
With data flowing openly, Quadri acts<br />
as an automated data aggregator.<br />
Machine control information, surveying<br />
data, and photogrammetry information is<br />
constantly being fed back into the<br />
system, automating the collection of<br />
data used to create a digital as-built. The<br />
as-built data can also be used in the<br />
operational phase of the asset when<br />
maintenance and repairs are needed.<br />
HIGH SPEED RAIL ASSET DATA<br />
CENTRALLY MANAGED<br />
Last December, SNCF Réseau, the French<br />
Railway Authority, announced that it had<br />
selected an integrated solution of Trimble<br />
Connect and Quadri to serve as the central<br />
system within its Enterprise Common Data<br />
Environment for the next three years.<br />
Pierre-Etienne Gautier, director of SNCF<br />
Réseau BIM and Digital Continuity<br />
Programme stated that an open CDE was<br />
instrumental in SNCF Réseau's strategic<br />
roadmap to create a digital twin of its<br />
infrastructure. Enriching the digital twins<br />
consistently through a secure open CDE,<br />
SNCF can maintain its infrastructure to the<br />
highest standards during its entire lifecycle.<br />
SNCF manages the largest high-speed<br />
rail in Europe at over 30,000 kilometers<br />
along with a large portfolio of greenfield<br />
(network extension) and brownfield<br />
(network modernisation) projects. The<br />
enterprise adoption of the CDE ensures<br />
digital continuity across all design,<br />
construction, operation & maintenance<br />
phases. SNCF Réseau is one of the<br />
organisations adopting a combined<br />
solution to address building construction<br />
(Connect) and linear infrastructure projects<br />
(Quadri). These systems federate all<br />
company data into one consolidated and<br />
integrated system, SNCF's CDE. Under the<br />
new three-year contract, SNCF Réseau will<br />
cover the entire project lifecycle - from<br />
design and construction to operations and<br />
maintenance - within its IT environment.<br />
As SNCF is constantly expanding and<br />
updating its infrastructure, having a<br />
common data environment that supports<br />
collaborative model development for all<br />
digital assets is seen as instrumental in<br />
working efficiently and effectively,<br />
according to Judicaël Dehotin, deputy<br />
director of SNCF Réseau BIM Programme.<br />
Using CDEs to review and manage a<br />
project provides great value throughout a<br />
project's lifecycle, the model and data<br />
playing an increasing role in long-term<br />
investment planning.<br />
Focusing on CDEs helps users -<br />
architects, engineers, contractors and<br />
others - implement best practices, and<br />
leverage the data to achieve truly<br />
transformational process improvements.<br />
www.trimble.com<br />
<strong>Jan</strong>uary/<strong>Feb</strong>ruary <strong>2022</strong> 21