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Development of a reporting subsystem for accounting of construction waste removal
development of BI systems
construction
95%
50
the accuracy of flight success forecasting has increased
to
to analyze the correctness of flights
management reports
Customer
Construction company, Moscow region
CHALLENGES/FEATURES
lack of role-based access to data across different departments
lack of a unified automated reporting subsystem
high labor costs for preparing reports
Ensuring control and transparency in construction waste management processes
Task
solution
Technical solution
- We developed a comprehensive reporting subsystem for accounting for construction waste removal:
management reports based on data from various sources in Qlik Sense (a platform for business analytics and data visualization);
Personal account with a user interface for various roles in the system.
2. We developed a real-time monitoring subsystem for 150 users, using open-source technologies based on Grafana and Prometheus.
Result
Business values
Reports and adaptive interface
prompt monitoring of each stage of waste removal
allows you to instantly respond to changes and problems
Minimizing manual work
the system is used by more than 9,000 people
Reliability and long-term operation
successful operation of the system for 5 years
the accuracy of predicting the probability of successful completion of a flight is 95%
50 management reports: soil removal by carrier, number of correct and incorrect trips by carrier, landfill, and educational facility, total number of trips, etc.
Отзывы
Отзывы от клиентов и партнеров
Evgeny Chelnokov
Working with the DUC Technologies team has been a true pleasure and privilege. Our project to track the accuracy of waste collection trips to landfills in the Moscow region was incredibly successful thanks to the unique abilities and dedication of the team who delivered the turnkey project.
Over the course of four months, we faced enormous challenges...
Over the course of four months, we faced enormous challenges...
Project Manager
Working with the «DUC Technologies» team is a genuine pleasure and a privilege. Our project for auditing the correctness of waste transportation trips to landfills in the Moscow region was incredibly successful thanks to the unique abilities and dedication of the team that delivered it as a turnkey solution.
Over four months, we faced enormous challenges, including the need to verify 22 criteria for each trip and process three years' worth of data exceeding 5 TB. Our partners from «DUC Technologies» demonstrated the highest level of professionalism and technical competence, developing a scalable solution based on Apache NiFi, Airflow, Greenplum, and Apache Superset in a tight timeframe. This allowed us not only to effectively solve current tasks but also to create a platform ready for future import-independent development and the integration of new technologies.
I would especially like to highlight the flexibility and adaptability of the «DUC Technologies» team's approaches. We were able to easily configure daily and ad-hoc processes for calculating trip correctness without making changes to the core code. This proves their deep understanding of the project's technical and business needs.
Thanks to their work, we have significantly improved the transparency of trip accounting and integrated four data sources ready for reuse. The «DUC Technologies» team didn't just complete the tasks set before them; they exceeded all our expectations, creating a foundation for future innovations in data management and the development of our Data Office.
I can confidently state that working with the «DUC Technologies» team is not just cooperation; it is a strategic partnership that enables us to reach new heights in our projects
Evgeny Chelnokov
Project Manager
Over four months, we faced enormous challenges, including the need to verify 22 criteria for each trip and process three years' worth of data exceeding 5 TB. Our partners from «DUC Technologies» demonstrated the highest level of professionalism and technical competence, developing a scalable solution based on Apache NiFi, Airflow, Greenplum, and Apache Superset in a tight timeframe. This allowed us not only to effectively solve current tasks but also to create a platform ready for future import-independent development and the integration of new technologies.
I would especially like to highlight the flexibility and adaptability of the «DUC Technologies» team's approaches. We were able to easily configure daily and ad-hoc processes for calculating trip correctness without making changes to the core code. This proves their deep understanding of the project's technical and business needs.
Thanks to their work, we have significantly improved the transparency of trip accounting and integrated four data sources ready for reuse. The «DUC Technologies» team didn't just complete the tasks set before them; they exceeded all our expectations, creating a foundation for future innovations in data management and the development of our Data Office.
I can confidently state that working with the «DUC Technologies» team is not just cooperation; it is a strategic partnership that enables us to reach new heights in our projects
Evgeny Chelnokov
Project Manager
By clicking the "Submit" button, you expressly consent to the processing of your personal data to the extent and for the purposes defined in the Personal Data Processing Policy.
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