Data Lineage Tracker

Tracks data provenance and lineage by tracing sources, logging transformations, and auditing anchors to ensure data auditability and compliance.

Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.

Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.

Create, schedule, and monitor ETL pipelines extracting from APIs, databases, files, and streams, with transform and load support to warehouses and APIs.

Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies

Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.