“From Paper to Cloud”: How Digital Tools are Revolutionizing Dam Project Data Management-PPT Presentation

PPT Presentation

Pdf Summary

The presentation describes how business intelligence (BI) tools improved data management on the Gross Reservoir Expansion project. By automating the extract, transform, and load (ETL) process, the team streamlined data collection, analysis, reporting, and sharing while reducing errors and data loss.<br /><br />Field inspectors used custom applications, including offline-capable checklists and daily reports suited to the remote site. Contractor submissions—covering material tests, instrumentation readings, weather, and quantities—were automatically stored and processed. Pre-assembled analyses supported timely compliance, specification, and quality checks.<br /><br />Power BI dashboards let teams filter and review results, track status, and notify stakeholders. PDF and CSV reports were generated automatically and uploaded to Procore for project-wide access.<br /><br />A grouting example illustrates the workflow: inspectors entered checklist data directly into the QA/QC database, while emailed contractor files were automatically routed and processed. Dashboards presented grouting and inspection information in real time, with filters for factors such as location, hole type, grout take, and shift date. Paginated reports for regulators and project stakeholders were then generated and uploaded to Procore.<br /><br />The reported benefits include greater efficiency, optimized data collection, easier access to and sharing of information, and stronger quality checks.

Keywords

business intelligence

data management

ETL automation

Power BI dashboards

quality assurance

quality control

Procore

field inspections

grouting workflow

reporting automation