090 PMIS Intermediate between ERP and the construction site
10 June 2025
093 Next steps efficient use of project data
10 June 2025

092 The end of the era of closed ERP PMIS the construction industry needs new approaches

The use of bulky modular ERP/PMIS -systems consisting of tens of millions of lines of code makes any changes in them extremely difficult. At the same time, the transition to a new platform with modules already customized for the company, tens of thousands of articles in resource databases (Fig. 5.1-3) and thousands of ready-made calculations (Fig. 5.1-6) turns into a costly and time-consuming process. The more code and legacy architecture – the higher the level of internal inefficiencies, and each new project will only make things worse. In many companies, data migration and integration of new solutions become multi-year epics accompanied by constant rework and endless search for compromises. The result is often a return to old, familiar platforms, despite their limitations.

As highlighted in the German Black Book report (Bund der Steuerzahler Deutschland e.V., “Das Schwarzbuch,” 10 Oct. 2024) on systemic failures in construction data management, fragmentation of information and lack of a centralized approach to its management is a key cause of inefficiency. Without standardization and integration, data loses its value, becoming an archive rather than a management tool.

A major cause of data quality loss is inadequate planning and control of construction projects, which often leads to significant cost increases. The Black Book’s “Focus: The Cost Explosion” section analyzes the key factors contributing to these unintended consequences. These include inadequate needs analysis, lack of feasibility studies and uncoordinated planning leading to additional costs that could have been avoided.

In a mature IT ecosystem of a company, replacing an outdated system is comparable to replacing a load-bearing column in an already constructed building. It is not enough to simply remove the old one and install a new one – it is important to do it in such a way that the building remains stable, the ceilings do not collapse, and all communications continue to work. This is where the difficulty lies: any mistake can have serious consequences for the entire company’s system.

Nevertheless, developers of large ERP products for the construction industry continue to use the amount of written code as an argument in favor of their platform. At specialized conferences one can still hear phrases like: It will take 150 man-years to recreate such a system, despite the fact that most of the functionality of such systems hides databases and quite simple functions for working with tables, packed in a special fixed, user interface. In practice, the code volume of “150 man-years” turns into a burden rather than a competitive advantage. The more code – the higher the cost of support, the more difficult the adaptation to new conditions and the higher the entry threshold for new developers and clients.

Many modular building systems today resemble cumbersome and outdated “Frankenstein constructs” where any careless change can lead to failures. Each new module adds complexity to an already overloaded system, turning it into a labyrinth that only a few specialists can understand, making it even more difficult to maintain and modernize.

The complexity is also realized by the developers themselves, who periodically pause for refactoring – revising the architecture to take into account the emergence of new technologies. However, even if refactoring is done regularly, complexity inevitably grows. Architects of such systems get used to the growing complexity, but for new users and specialists it becomes an insurmountable barrier. As a result, all expertise is concentrated in the hands of a few developers, and the system ceases to be scalable. In the short term, such experts are useful, but in the long term, they become part of the problem.

Organizations will continue to integrate “small” data with their big data counterparts, and it is foolish for anyone to believe that one application – no matter how expensive or robust – can handle everything (SAS, “Data lake and data warehouse – know the difference”).

– Phil Simon, host of the Conversations About Collaboration podcast

A legitimate question arises: do we really need such cumbersome and closed systems for calculating the cost and timing of work in the form of tables, if other industries have long been able to handle similar tasks with analytical tools with open data and transparent logic?

Currently, closed modular platforms are still in demand in the construction industry, primarily due to the specifics of cost accounting (Fig. 5.1-7). Such systems are often used to run “gray” or opaque schemes, allowing real costs to be hidden from the customer. However, as the industry matures digitally, primarily customers, and moves into the so-called Uberized Era, intermediaries, namely construction companies with their ERPs, will lose their importance in time and cost calculations. This will change the face of the construction industry forever. Read more in the last part of the book and in the chapter “Construction 5.0: How to make money when you can’t hide anymore”.

Thousands of legacy solutions accumulated over the last 30 years with thousands of man-years invested in development will start to disappear rapidly. The transition to open, transparent and flexible data management is inevitable. The only question is which companies will be able to adapt to these changes and which will remain hostage to the old model.

A similar situation is observed in the field of CAD (BIM -) tools, whose data today fill the volumetric parameters of design entities in ERP/PMIS -systems. Initially the idea of BIM (developed back in 2002 (ADSK, “Building Information Modeling,” 2002) was based on the concept of a single integrated database, but in practice today work with BIM requires a whole set of specialized programs and formats. What was supposed to simplify design and construction management has turned into another layer of proprietary solutions that complicate integration and reduce business flexibility.

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Focus Areas

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  • ALL THE CHAPTERS IN THIS PART
  • A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH (8)
  • CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA (8)
  • DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL (8)
  • DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES (8)
  • DATA UNIFICATION AND STRUCTURING (7)
  • SYSTEMATIZATION OF REQUIREMENTS AND VALIDATION OF INFORMATION (7)
  • COST CALCULATIONS AND ESTIMATES FOR CONSTRUCTION PROJECTS (6)
  • EMERGENCE OF BIM-CONCEPTS IN THE CONSTRUCTION INDUSTRY (6)
  • MACHINE LEARNING AND PREDICTIONS (6)
  • BIG DATA AND ITS ANALYSIS (5)
  • DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING (5)
  • DATA CONVERSION INTO A STRUCTURED FORM (5)
  • DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION (5)
  • GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS (5)
  • LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES (5)
  • ORCHESTRATION OF ETL AND WORKFLOWS: PRACTICAL SOLUTIONS (5)
  • SURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE (5)
  • 4D-6D and Calculation of Carbon Dioxide Emissions (4)
  • CONSTRUCTION ERP AND PMIS SYSTEMS (4)
  • COST AND SCHEDULE FORECASTING USING MACHINE LEARNING (4)
  • DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION (4)
  • EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY (4)
  • IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES (4)
  • QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES (4)
  • THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA (4)
  • Uncategorized (4)
  • CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES (3)
  • MANAGEMENT SYSTEMS IN CONSTRUCTION (3)
  • AUTOMATIC ETL CONVEYOR (PIPELINE) (2)

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057 Speed of decision making depends on data quality

Today’s design data architecture is undergoing fundamental changes. The industry is moving away from bulky, isolated models and closed formats towards more flexible, machine-readable structures focused on analytics, integration and process automation. However, the transition...

060 A common language of construction the role of classifiers in digital transformation

In the context of digitalization and automation of inspection and processing processes, a special role is played by classification systems elements – a kind of “digital dictionaries” that ensure uniformity in the description and parameterization...

061 Masterformat, OmniClass, Uniclass and CoClass the evolution of classification systems

Historically, construction element and work classifiers have evolved in three generations, each reflecting the level of available technology and the current needs of the industry in a particular time period (Fig. 4.2-8): First generation (early...

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092 The end of the era of closed ERP PMIS the construction industry needs new approaches
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