Data Management
By Andrew Foy, O3 Solutions VP of AWP & Construction
Most people are familiar with the term “garbage in, garbage out”, especially as it applies to database technology. It implies that even the best software in the world can’t fill in the gaps that come from poor or incomplete inputs. Think of a grainy photo – it doesn’t matter how much you zoom in, the picture will never get clearer.
Data architecture is a foundational step in managing data, providing a blueprint for documenting data assets and mapping data flows.
AWP Software & Data Management Systems
Advanced Work Packaging and the software to digitize it rely heavily on inputs from other systems. On any given project, your AWP tool should be integrated with an array of other systems including 3D model, document management, material management, timesheets, fabrication, and completions. This can involve a huge amount of data transfer back and forth.
The good news is that, if done well, this data integration can provide massive benefits to your project and your AWP plans. It means a Workface Planner doesn’t have to chase document registers, expediting reports, fabrication status reports, emails, stacks of drawings, and so on. By bringing all this data together in one system as part of a robust data management process, your Workface Planner can instantly see all the relevant information and build viable packages very efficiently.
But what about the “garbage in” part? What happens if your data is not perfect?
Bad or Incomplete Data Quality Management for 3D Models with AWP Software
The good news is that you are not alone. O3 has executed more than 550 projects, and I doubt that a single one of them had perfect data. Information is always missing, incorrect, or in the wrong place, which highlights the importance of data quality. A lot of this comes down to AWP being a relatively new process for some companies and some elements of the data requirements being new to Engineering contractors or data providers.
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The Solution for Data Management Strategy Using AWP Software
But all is not lost. Just because the data is missing, doesn’t mean it can’t be fixed. We have several ways we can help:
Firstly, O3 can provide a comprehensive data specification so your project stakeholders know what has to be delivered for all disciplines.
In addition, our data management solutions are designed to handle large volumes of data and ensure data-driven decision-making.
Then, even if the data is not perfect (which it never is), we can use our vast experience and unmatched technology to make it work. We can link the data from a wide variety of sources and combine it all into the virtual construction model.
Using O3 Data Analysis Tools Can Solve Your Data Management Issues
These are just a few examples. So if your data isn’t perfect, don’t sweat it. As good or as bad as it is, you can be certain that we have seen it all before.
Data governance plays a crucial role in ensuring high data quality levels and compliance with data policies.
And if you aren’t sure, send us the data and we can use it to perform a Proof Of Concept, to show how easily O3 can fill in the gaps. Trust, but verify.
To learn more, contact us at [email protected] or visit our website at www.o3.solutions
Site Manager/Resident Construction Manager
7 个月It's a very useful system, however, it requires complete planning, involvement of an expertise team with adequate logistics like software and associated systems from inception itself in all departments starting from design/engineering, procurement and then at construction sites. If it is implemented in toto, it would be much more useful and supportive for construction management teams.
CEO @ Eurasian Advanced Work Packaging Community of Practice | Construction Management Expert | Accredited AWP Consultant | Speaker & Author
7 个月Insightful reading! Effective data management is crucial for the success of AWP systems. Despite the challenges of incomplete or imperfect data, robust integration and strategic data quality management can significantly enhance project efficiency and decision-making.