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The seventh part is dedicated to data analytics and process auto-mation in the construction industry. It discusses how data becomes the basis for decision-making and explains the principles of visualiz-ing information for effective analysis. Key performance indicators (KPI), methods for evaluating return on investment (ROI) and creat-ing dashboards for project monitoring are described in detail. Spe-cial attention is given to ETL processes (Extract, Transform, Load) and their automation using pipelines (Pipeline) to turn disparate data into structured information for analysis. Workflow orchestra-tion tools such as Apache Airflow, Apache NiFi and n8n, which al-low building automated data pipelines without deep programming knowledge, are discussed. Large Language Models (LLMs) and their use to simplify data analysis and automate routine tasks are playing a significant role.