133 Next steps moving from manual operations to analytics-based solutions
10 June 2025
135 Information storage files or data
10 June 2025

134 Data atoms the foundation of effective information management

Everything in the Universe consists of the smallest building blocks – atoms and molecules, and over time all living and non-living things inevitably return to this initial state. In nature, this process occurs with astonishing speed, which we are trying to transfer to the processes controlled by man.

In the forest, any living organisms are eventually transformed into a nutritious substance that serves as the basis for new plants. These plants, in turn, become food for new living things made up of the same atoms that created the universe millions of years ago.

In the business world, it is also important to break down complex, multi-layered structures into their most fundamental, minimally processed units – much like atoms and molecules in nature. This allows atoms of data to be efficiently stored and managed, turning them into a rich, fertile foundation that becomes a key resource for the growth of analytics and decision quality.

Рисунок 1
Fig. 8.1-1 Analysis and decision making is based on reused data that was once processed and stored.

Musical compositions are made up of notes that combine to create complex pieces of music, while words are created from a primitive unit, the letter-sound. Whether it is nature, science, economics, art or technology, the world exhibits remarkable unity and harmony in its pursuit of destruction, structure, cyclicality and creation. Similarly, processes in costing systems are broken down into tiny structured units – resource items – at the level of costing and schedules. These units, like notes, are then used to form more complex calculations and schedules. The same principle is used by computer-aided design systems, in which complex architectural and engineering projects are built from basic elements – individual elements and library components, from which a complete 3D -model of the project of a complex building or structure is created.

The concept of cyclicality and structure inherent in nature and science is also reflected in the modern world of data. Just as in nature all living things revert to atoms and molecules, so in the world of modern data processing tools, information tends to revert to its most primitive form.

The smallest elements with their finite indivisibility are the basic building blocks of business processes. It is important to carefully consider from the very beginning how to collect, structure (break down into atoms) and store these tiny building blocks from various sources. At the same time, organizing and storing data is not just a matter of breaking it down into its constituent parts. It is equally important to ensure that they are integrated and stored in a structured way so that data can be easily retrieved, analyzed and used for decision-making whenever it is needed.

To process information efficiently, the format and methods of data storage must be carefully chosen – just as the soil must be prepared for the growth of trees. Data warehouses should be organized to ensure high quality and relevance of information, eliminating redundant or irrelevant data. The better this “information soil” is structured, the faster and more accurately users can find the data they need and solve analytical problems.

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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

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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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134 Data atoms the foundation of effective information management
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