Data is one of the most valuable resources in any construction project. It controls decisions, enables efficient processes, ensures communication and documents who has to do what. Yet the reality is often very different: Information is stored in different systems, is inconsistent or cannot be found at all.
Recurring data issues in construction projects are not uncommon. They affect the entire industry, leading to misunderstandings, delays, reworks and increased costs.
In this article, we outline the seven key weaknesses in construction data management and provide initial impetus to help you meet these challenges.
1. Isolated solutions and data silos
Construction projects use a wide range of specialised tools today – from BIM software, to ERP solutions, through to mobile construction site apps. Yet these systems are usually not integrated with one another. Information has to be entered twice, formats are incompatible and transfers are carried out manually.
The lack of conformity leads to media discontinuity, inconsistencies and time losses. This is especially problematic in the case of complex projects with large numbers of participants, where everyone is using their own system. Recurring data problems in construction projects can be solved with structured data integration. The Swiss LCDM Hub allows you to effectively break down data silos and integrate BIM data, planning information and commercial processes on one user-friendly platform.
2. Poor data quality
Outdated plans, incomplete information in service specifications or contradictory material data – inadequately maintained information is one of the main causes of construction delays.
The earlier discrepancies are detected, the easier and more cost-effective it is to resolve them. It is especially problematic when information is being used on a construction site that is already outdated at the planning stage, or if procurement decisions are made on the basis of incorrect quantity specifications.
Reliability can be ensured through systematic data management at the construction site, clearly defined maintenance processes and by using digital tools that allow version statuses to be tracked.
Data Management
Your path to data excellence
3. Lack of a data strategy
While many companies collect information, they do so without any clear concept, objective or plan. Data is maintained reactively, without defining responsibilities or using standardised processes. The entire flow of data can be optimised throughout the course of the project by adopting a well-thought-out life cycle approach.
Without a strategy, valuable knowledge remains unused. Projects always start again from scratch, findings and insights cannot be transferred and the advantages of digital tools evaporate. Consistent data management in construction includes collection, use, maintenance and long-term archiving – in a structured and comprehensible way across teams. Are you wondering where your company currently stands? Then find out for certain with our Data Management Assessment Light.
4. Difficulties integrating data
One of the biggest challenges is the task of bundling a vast array of information sources. Data can originate in BIM models, IoT systems, planning platforms, FM applications or document archives. Every source uses its own formats, logic and specifications.
For data integration to succeed in the BIM context, consistent interfaces are needed along with central data environments and an overarching structure in which information can be merged and reused. As an international standard for structured management of construction data, ISO-19650 data management acts as a central lever in this respect, bindingly defining processes, roles and interchange formats.
With bbv at your side, you can develop a BIM2FM strategy that organises all gaps between planning and operation and closes them in compliance with standards.
Thanks to data strategy
More growth and efficiency
5. Compliance and security risks
It is not just technological aspects that are critical. Legal and organisational issues are also becoming increasingly important. Who is authorised to access which data? Which documents have to be retained and which protected? And how is data privacy ensured?
Lack of clear governance gives rise to uncertainty and potential liability risks. It is particularly controversial when documentary evidence is not provided to the authorities or personal data is stored unprotected. Resilient data management for construction projects ensures that requirements are fulfilled, responsibilities are clarified and access rights are clearly defined.
6. Lack of project transparency
It is not uncommon in construction projects for the different participants to each use their own pool of data. The designer has different information than construction management, purchasing is not aware of the current state of progress and controlling doesn’t know if the budget is on track.
As a result, decisions are made too late, are based on incomplete information or are not made at all. Transparency is created when knowledge is available centrally – preferably in real time. Control can be improved significantly with visual dashboards, automatic status reports and consistent data sources.
7. The technology is there – but not the know-how
Many companies use modern digital solutions: BIM, cloud platforms, mobile tools, IoT connections. However, these systems can only be effective if the employees know how they are used and why.
In many cases, the problem is not the technology itself, but the fact that it is not adequately embedded in the company. There is no professional development for staff, change processes are not consistently enforced and digital know-how is unevenly distributed. Effective data management in construction therefore requires more than modern tools. It needs people who can use these tools confidently.
Data strategy
Quick maturity check
Data chaos is not a law of nature – it can be resolved
Incomplete information, outdated plans, fragmented system landscapes – all are side effects that can be overcome. They are avoidable. With the right approach.
Common data problems in construction projects can be specifically addressed – using networked solutions, clean processes and standards such as ISO 19650-compliant data management.
Whether data integration in BIM environments, life cycle management or digital transfer – bbv supports construction companies in systematically developing information flows and ensuring their sustainable use.
The expert
Christof Oberholzer
Christof Oberholzer is Head of Business Area MedTech & Healthcare at bbv. He has more than 25 years of experience in software engineering, leadership, strategy and customer acquisition. Christof Oberholzer advises and supports national and international clients on developing custom software products and services.




