New ETL concepts – AIA, BEP, IDS, LOD, COBie
26 February 2024
MODERN DATA TECHNOLOGIES IN THE CONSTRUCTION INDUSTRY
26 February 2024

Validation of human requirements in life

As in work in our daily lives, we are constantly faced with questions of data validation and data-driven decision making.

We are faced daily with the need to make data-driven decisions. It is a process where every choice, whether strategic long-term or short-term operational, is based on statistics, information analysis and trends.

In our personal lives, just like in a company in any industry, data is used to make important decisions: when choosing a life partner or determining where to live, we unwittingly create in our minds a kind of two-dimensional table filled with various attributes. These attributes, be it the personal qualities of the partner or the characteristics of the location, play a key role in decision-making.

Using structured data and a structured view of requirements in both work and personal life, helps us make faster informed and satisfying decisions later.

A data-driven approach to decision making is common not only in the professional realm, but also in our personal lives:

 

  • Data as the foundation (Extract): in business or in personal life, in both cases we are constantly in the process of collecting and analyzing information. At work, this can be reports and metrics, while in our personal lives it can be personal experience, parental advice, feedback and subjective research.
  • Evaluation criteria (Transform): in professional environment or personal life we establish similar criteria by which we evaluate different choices. In business it could be KPIs and profitability metrics, and in personal life attributes such as cost, infrastructure for housing choice or satisfaction, charisma and many other criteria for choosing a partner for friendship or living together.
  • Risk forecasting and analysis (Load): In both cases, we make a decision based on the data collected, which we pass through a filter of criteria and requirements, being subjected to an assessment of potential risks and possible consequences, just as decision-making takes place in the company's business processes.

The decisions we make - from trivial preferences like what to eat for breakfast to significant life events like choosing a career or life partner - are inherently data-driven.

Everything in our lives is interconnected, and just as living organisms, including humans, follow the laws of nature as they evolve and adapt to changing conditions, so human processes, including our methods of collecting and analysing data, reflect these natural principles. The deep connection between nature and human activity emphasises not only our dependence on the world around us, but also our desire to use the laws of nature to our own advantage.

New technologies, especially in construction, are a prime example of how humankind is inspired by nature every time to create better, more sustainable and more efficient solutions.

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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)
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    • 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)
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    • DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING (5)
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    • 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)
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    • 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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