Person Holding Roof Over BIM Text

What Does It Mean to Introduce BIM Standards Into a Company?

Team La SIA

The use of new methodologies for the design and management of a work brings with it a series of advantages for the company that decides to use them, but undoubtedly alongside these advantages there are also initial doubts on how best to use them. One of these revolutionary new techniques is definitely BIM, which is bringing great benefits to companies, which can be amplified through the use of standards and guidelines. Below you can read an interesting study on the topic written by Ernesto Pellegrino, Marika Prete and Eleonora Palladino who are part of the BIM team of La SIA.

The Importance of Bim Standards

The construction sector is experiencing strong changes in terms of methods and processes that regulate complex sector activities. The greater diffusion of these digitalization methodologies, which are identified with the acronym BIM, accelerate these changes more and more. BIM, like any self-respecting “method”, requires, or at least acquires greater value in terms of quality, when it is regulated or based on guidelines and standards. In this regard, there are many publications, available online, of this documentation prepared by various institutional organizations.

Standards are like “foundations of a building” for the production and management of data and are intended to ensure uniformity and consistency of information. In a sense, without them the collaboration between the work teams will be problematic at best and at worst, will lead to the complete failure of the activities. The definition of the guidelines will bring a series of advantages, some of which: • Increase in information quality with consequent increase in process quality and vice versa • Reduction of time for individual operating activities • Better interdisciplinary coordination • Greater security and awareness on how to carry out the various tasks

As mentioned above, to date there are already defined standards from which each company could take advantage of, using them as starting points for the definition of its own guidelines, “tailored” to the needs and business objectives. Certainly, the difficulties in drafting these guidelines are not few since the construction sector is very complex and is characterized by a large number of variables and figures involved. However, before starting to introduce BIM standards within your organization, it may be useful to keep these 3 concepts in mind: 1. There is no universal method 2. The identification of objectives is important for defining methods and processes 3. Software is only a tool, people determine the process

The application of these guidelines will provide, over time, a series of feedback that will allow you to optimize your workflows, always hitting your targets and meeting the needs of the company.

Data-driven decision making in engineering

BIM: Improving decision making through data analysis

Team La SIA

Does data analysis reduce business risk?

In the world of design, and more generally, in the construction sector, these two statements can always be considered true:

  • If a project is perfectly completed, it delivers a profit ranging between 0 and 20 %;
  • If a project goes wrong, losses can potentially be very high;

So perhaps we should spend more time reading and understanding data, to better identify risk factors and improvement opportunities regarding profit margins.

We must abandon the idea that BIM is only just a better way of producing tables and drawings, with a pinch of data related to objects, clash detection and the possibility of delivering 4D, 5D, 6D or 7D projects.

The next goal to hit, and the real advantage offered by adopting this data-driven method when completing a project, will be minimizing as much as possible all risk factors. This is made possible through data mining and analysis applied on data generated by models, operations, resources and tools. All this data, if well interpreted, can lead to great margin and profit opportunities.

For several years now, here at La SIA, we have been working on “BIM oriented” projects and orders, that are evolving on digital management and coordination processes. For this reason, we produce and analyse on a daily basis a considerable amount of data, thanks the high number of resources employed and located in 9 different corporate office locations.

BIM data analysis dashboard for engineering project
La SIA engineering data analysis dashboard

Interpreting data to improve decision-making phases

If we could find a way to effectively link all data related to all the models we produce, in a single macro-database, instead of querying files individually and separately, maybe we could start noticing interesting patterns.

In fact, by querying this macro-database, we could be able to predict how much a project is going to cost and what tools and resources will be necessary to complete it.

Today, this analysis is performed by professionals on the basis of their past experience. However, it is evident that performing this type of analysis with a data-driven approach can deliver conclusions that are much more objective and measurable. Therefore, by combining experience on one hand and substantial data mining on the other, undoubtedly allows us to improve quality of the choices we are called to make during the development of every project.

BIM data analysis dashboard for engineering project
La SIA engineering data analysis dashboard

The implementation test

In the last few years, in La SIA, we started experimenting this data-driven approach allowing us to generate results that are increasibly precise and reliable. One of our most important projects, in terms of duration and resources employed, is the digitization of the entire infrastructure of one of the most important telecommunications companies.

Since the initial development phases of this job, we started collecting a lot of data, like for example start and completion dates of models, resources employed, tools used and tool use frequency as well as other data.

Subsequently we began to analyze this data, trying to identify the patterns mentioned above. Over the weeks, the quantity of data mined has grown considerably and has led us to an improved understanding of operations, to the addition of an extra check-point for model validation and control and to improved management and planning of future activities.

These first results, in addition to improving our team’s workflow, have brought many advantages to our client that can now plan any activity on the basis of reliable and verified data.


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