Data & Analytics

Generate Gantt charts for construction scheduling. Create visual project timelines with dependencies and progress tracking.

Calculate carbon footprint of construction projects. Estimate CO2 emissions from materials, transportation, and construction processes using emission factors databases.

Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.

Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.

Automatically generate estimates from QTO data. Apply pricing rules to BIM quantities for cost estimates.

Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.

Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.

Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thresholds, and reporting.

Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.

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

Extract structured data from construction PDFs. Convert specifications, BOMs, schedules, and reports from PDF to Excel/CSV/JSON. Use OCR for scanned documents and pdfplumber for native PDFs.

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files

Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.

Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.

Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.

Integrate open construction datasets. Combine open data sources for enhanced analysis

Map construction data to standard ontologies. Create semantic mappings between different data schemas

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

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.

Detect and map data silos in construction organizations. Identify disconnected data sources and integration opportunities

Calculate embodied carbon in construction materials. Track CO2 emissions, compare alternatives, and generate sustainability reports.