From big data to smart data in your BIM projects !

SeveUp and smart data: a needs-based approach

Big data has always been regarded as the Holy Grail of digital technology. More data meant more value. Not at SeveUp! Say goodbye to big data and hello to smart data!

No more BIM requirements that do more harm than good.
No more unnecessary data storage so we can help save our planet!
No more unnecessary data updates.
No more slow returns on investment.

SeveUp expertise in advanced data analysis

At SeveUp, we understand that not all data is the same and that each specific use case requires different datasets. That is why we take a targeted approach to delivering data to our customers. Instead of overwhelming them with an excessive amount of data, we focus on providing relevant and useful datasets to meet their specific needs.

Customer Story EDF

The difference between big data and smart data

Smart data, a clever evolution of big data, focuses on the intelligent use of data. What sets it apart is the ability to collect, analyze, and use information strategically in order to make informed decisions. Unlike traditional big data, which focuses on collecting massive amounts of data indiscriminately, smart data takes a more modern, considered approach. It recognizes that the real value lies in the quality and relevance of the data, rather than its raw quantity.

The fundamental principles of smart data in SeveUp projects

The fundamental principles of smart data in SeveUp projects combine modernity, professionalism, and originality to leverage the full potential of your data.

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Here are a few key points to remember:

Selective collection : Rather than being overwhelmed by a mass of information, we focus on the essential data to meet the specific objectives of the project.
Intelligent structuring : Smart structuring involves classifying, organizing, and associating data in a way that facilitates access and subsequent use. This optimizes work processes and encourages collaboration between project stakeholders.
Proactive analysis : Rather than simply accumulating it, data needs to be analyzed proactively to identify trends, anomalies, or opportunities.
Interoperability : The seamless exchange of data between different systems facilitates collaboration and enables better integration of information, contributing to more effective project management.
Intuitive visualization : Complex data can be transformed into clear, understandable visual representations, facilitating decision-making and communication between stakeholders.

Big data or smart data for your SeveUp projects?

In the showdown between smart data and big data, it is essential to understand the fundamental differences that make smart data the best option for SeveUp projects:

Relevance and accuracy : Smart data focuses on the targeted collection and analysis of the most relevant data for a specific BIM project. Unlike big data, which accumulates a huge amount of information, often indiscriminately, smart data carefully selects the data needed to make informed decisions. ⇒ It guarantees the accuracy and relevance of the information used in the construction process.
Time and resources : Unlike big data, which can involve massive data collection and analysis, smart data focuses on the data needed to meet the specific objectives of a SeveUp project. ⇒ It enables a more efficient use of resources, focusing on what is essential for the success of the project.
Proactive analysis : Whereas big data can require significant effort to extract meaningful information, smart data encourages proactive analysis of relevant data. By focusing on key data, smart data makes it possible to identify trends, anomalies, or opportunities more quickly. ⇒ Proactive analysis facilitates rapid and accurate decision-making, maximizing the benefits for the BIM project.
Optimized collaboration : Smart data offers greater interoperability between the various players involved in a SeveUp project. By focusing on specific data and using compatible tools, it facilitates the fluid exchange of information between architects, engineers, contractors, and other stakeholders. ⇒ This promotes smooth collaboration, effective communication and increased coordination, all of which are essential to the successful completion of a complex SeveUp project.

Our recommendations for effectively integrating smart data into your SeveUp projects

In order to effectively integrate smart data into your SeveUp projects, here are a few key recommendations:

Define clear objectives : Before you start, identify the specific objectives you want to achieve by using smart data in your SeveUp project. Whether it’s improving planning, optimizing energy performance, or facilitating collaboration, clear objectives will help you focus your efforts on the most relevant data.
Identify relevant data sources : Analyze the different data sources available for your SeveUp project. These could be IoT sensors, existing databases, field surveys, etc. Draw up a plan for collecting, integrating, and analyzing them in a coherent way.
Use the right analysis tools : To take full advantage of smart data, use analysis tools that are tailored to your needs. Explore technologies such as machine learning, artificial intelligence, and data processing algorithms to extract valuable information.
Encourage collaboration between stakeholders : Smart data facilitates collaboration between the various stakeholders in a SeveUp project. Encourage communication and the exchange of information between architects, engineers, contractors, and other project stakeholders. Ensure that everyone understands the importance of relevant data and its strategic use to achieve common goals.
Set up data governance : This is essential to guarantee the quality, security, and confidentiality of the data used in your SeveUp project. Establish clear policies and procedures for collecting, storing, managing, and safeguarding data.

SeveUp : a pioneer in Smart Data

SeveUp is a smart data pioneer. Our expertise in advanced data analysis and our customer-focused approach allow us to deliver high-quality, tailor-made solutions. We pride ourselves on our ability to extract relevant insights from data that helps our customers to make informed decisions and optimize their performance.

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The future of data processing: a responsible and efficient approach with SeveUp

The future of data processing lies in a responsible and efficient approach, and this is precisely what SeveUp offers with smart data. We understand that the value of data lies not in its quantity, but in its quality, relevance, and usefulness. By focusing on the specific needs of our customers, we avoid unnecessary data, which helps protect the environment and optimize resources.

SeveUp App Users Testimonials

SeveUp helped us to capitalize on the data contained in the BIM models by allowing us to transcribe BIM data in the form of KPIs. In accordance with the methods and business processes of our teams and our partners, we could deploy a BIM approach focused on value creation.
Anne Sophie Duroy Vermare
BIM Manager, Icade
I’m a BIM manager, and SeveUp lets me create dashboards tailored to my needs and those of my clients. They now have instant access to the information they need, knowing that their schedule and BIM requirements are being followed. It frees up more time to advise my clients and attracting more key Acoustic.
Maxime Sagnier
Head of operations, Im-Pact
We conducted proof of concept with SeveUp. Our goal was to regularly monitor and update our digital assets in response to the key needs of our asset managers and operators. Thanks to the SeveUp team’s support and expertise, we were able to quickly set up dashboards that let us visualize relevant indicators from our BIM data.
Benjamin Rousseaux
Project Manager, EDF R&D