In this part, we explored the challenges of information silos and looked at the impact of excessive system complexity on business performance, analyzing the transition from the fourth industrial revolution to the fifth, where data rather than applications are central. We saw how siloed information systems are creating barriers to knowledge sharing, and the continuing complexity of the IT landscape is reducing productivity and inhibiting innovation in the construction industry.

To summarize this part, it is worth highlighting the main practical steps that will help you apply the discussed approaches in your daily tasks:

• Visualize your information landscape
  • Create a visual map of the data sources (Miro, Figma, Canva) you work with on a regular basis
  • Add the systems and applications you use in your work to this map
  • Identify potentially duplicate functionality and redundant solutions
  • Identify critical points where data loss or corruption can occur during transmission between systems
• Implement personalized data management practices
  • Shift focus from applications to data as a key asset in processes
  • Document data sources and processing methodology to ensure transparency
  • Develop mechanisms to assess and improve data quality
  • Strive to ensure that data is entered once and used repeatedly – this is the basis of efficient process organization
• Promote a data-centric (data-driven) approach in your team
  • Suggest the use of standardized and uniform formats for peer-to-peer data exchange
  • Regularly raise issues related to data quality and availability in team meetings
  • Get to know Open Source alternatives to the tools you use to solve your issues

Start small – pick one specific process or data set that is critical to your work and apply a data-centric approach to it, shifting the focus from tools to data. By succeeding in a single pilot, you’ll gain not only hands-on experience, but also a clear demonstration of the benefits of the new methodology to your team. In completing most of these steps, if you have questions, you can seek clarification and assistance from any up-to-date LLM.

In the following parts of the book, we will move on to a more detailed look at data structuring and unification techniques and explore practical approaches to integrating heterogeneous information. Particular attention will be paid to the transition from disparate silos to unified data ecosystems, which play a key role in the digital transformation of the construction industry.

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