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Incorporating Business Intelligence in BIM, EDF aims to swiftly provide end-users with simplified, contextualized access to data. This approach involves creating interactive BIM dashboards to transform raw data into valuable information. By collaborating with partners, EDF customizes dashboards, ensuring data accessibility and evolution tracking over time. This approach enhances multi-site management and maintenance compliance, making BIM an efficient decision-making tool for the organization.
Insights from Benjamin Rousseaux, Project Manager at EDF Lab R&D,EDF means “Électricité de France”, you can see more on their website, emphasize EDF’s commitment to leveraging Business Intelligence in BIM. EDF’s R&D department is responsible for analyzing internal business needs to propose a robust and efficient Business Intelligence in BIM design process for EDF’s businesses. This approach includes testing and implementing specialized BIM software tools. The ultimate goal is to fully maximize the advantages of Business Intelligence in BIM, a task not always straightforward within an organization. In response, SeveUp naturally offered its support to EDF’s R&D. Together, they focused on the critical issue of how to quickly, seamlessly, and effectively capitalize on the benefits of a Business Intelligence in BIM approach from the outset.
The result of the BIM process must benefit the end-user.
Main source of value of the building information modeling approach. Some EDF departments and subsidiaries have already launched a BIM workflow and have several digital models built with a BIM charter. This charter defines, in addition to the main rules of good modeling, all the business data to be implemented in the various BIM models. As a reminder, the BIM digital mockup is a component of the BIM collaborating process that has the capacity to store and order all the desired data to be subsequently used and processed. Even if these data are associated with objects, following a technical and spatial graphical logic, it is necessary to implement treatments to have synthetic decisional information. The objective of our mission is to allow EDF to exploit the potential of the data contained in an openBIM model. In this context, we have implemented the various management tools and support necessary to achieve this goal.
In order to transform data into building information, we proposed to EDF R&D to apply the principles of Business Intelligence (BI) on the data of BIM models. Some practical definitions!
In order to transform the raw data contained in the BIM digital models into information to give them value, we have implemented the principles of Business Intelligences (BI) on BIM data by creating dashboards, real decision-making tools, thanks to the BIM model data.
BIM dashboards (built with data from BIM models) are real decision support tools. They have interactive elements to filter and combine different information. They highlight measures and indicators that allow a direct analysis of information. They also integrate a 3D visualization of the digital BIM models concerned. This visual is the result of the selections and filters given by the different interactive elements of the dashboard. A BIM dashboard is defined and built according to one or more specific uses by addressing different profiles (users) according to their needs, scheduling and their business.
To all actors (without training, management software or specific BIM skills). By a smart view through filters following the spatial tree structure, and then filtering again by object typology. The objects and object types are counted following this logic.
By a smart view dedicated to a specific business (in our case, the security business). Indeed, the objective is to display only useful information according to the user (his department, his specific job within the construction project) of the dashboard.
As part of the project, we created a dashboard that addresses different users, in addition to the need for accessibility and analysis of BIM data detailed above. A preliminary and complementary need was raised: to check and trace the evolution of BIM data over time.
We have defined this need as follows:
In relation to their data requirements Are the data requested by EDF (in the BIM charter) present and compliant with the BIM model?
according to the life cycle of the models. Highlight the right metrics to track the progress of a model over the whole life of the building.
We have associated our expertise with our partner IM-PACT in order to conduct meetings to discuss and collect needs in order to create BIM dashboards focused on customer uses and customer businesses.
This phase took place in 5 steps:
This first phase of analysis allows us to focus on the final uses and to clearly define the essential data to be rigorously implemented in the BIM model and, above all, to separate ourselves from the non-essential data, as they are not directly linked to a final need. This selective sorting of data seems trivial, but will greatly facilitate the implementation of data throughout the BIM process.
Once the dashboard templates have been imported via Power BI Desktop during the analysis phase, EDF will have to :
Have a global vision of a group of buildings (multi-site management) via synthetic reports without having to open different models via business specialists.
This global vision allows you to quickly identify and define the different actions to be taken on the building design in the real estate portfolio. And, for example, prioritize the buildings to be renovated.
Ensure the correct evolution and compliance of BIM models in the context of building maintenance contracts.
Indeed, the BIM model of a building must be updated according to the maintenance actions carried out on the building over its lifecycle to be able to claim a correct use.
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Challenges and Solutions provided by SeveUp Projects Managed: Features Used: Control Methods: Overall Satisfaction: 4/5
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Learn MoreHow can we ensure that EDF benefits from its BIM approach quickly, simply and from the start ? Insights from Benjamin
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