From Data Ingestion to Insight

See how Datamapan transforms raw asset data into actionable geospatial intelligence through our complete analytical pipeline

The Complete Data Journey

Five interconnected stages that transform your raw data into actionable intelligence

1. Data Ingestion

Multiple input channels for seamless data collection

  • • PDF/Excel uploads
  • • API integrations
  • • ETL pipelines
  • • Real-time feeds

2. Data Processing

Intelligent data preparation and enrichment

  • • OCR extraction
  • • Data cleansing
  • • Geocoding
  • • Standardization

3. Geospatial Analysis

Advanced spatial intelligence and risk modeling

  • • Hazard overlays
  • • Risk scoring
  • • Spatial correlation
  • • Zone analysis

4. Simulation & Monitoring

Predictive modeling and real-time tracking

  • • What-if scenarios
  • • ML forecasting
  • • Real-time alerts
  • • Impact modeling

5. Reporting

Comprehensive insights delivery

  • • Inline exports
  • • Report library
  • • Dashboards
  • • API access

Step-by-Step Visualization

Explore each stage of the data transformation process

1

Data Ingestion Hub

Multiple data sources flow into Datamapan's unified ingestion layer, supporting various formats and connection methods for seamless integration.

File Upload

PDF, Excel, CSV

API Integration

REST, GraphQL

ETL Pipelines

Scheduled imports

Real-time Feeds

Live data streams

2

Intelligent Processing

Advanced AI-powered processing transforms raw data into structured, geocoded information ready for spatial analysis.

OCR Extraction

Extract text from PDFs and images

Data Cleansing

Standardize and validate data quality

Geocoding

Convert addresses to coordinates

3

Geospatial Intelligence

Layer hazard maps, risk models, and regulatory data to create comprehensive spatial intelligence for informed decision-making.

Flood Risk

Water hazard overlays

Seismic Risk

Earthquake zones

Fire Risk

Wildfire probability

RDTR Zones

Regulatory overlays

4

Predictive Modeling

Run sophisticated simulations and monitor real-time events to predict impacts and optimize decision-making processes.

What-if Scenarios

Model different risk scenarios and their potential impacts

ML Forecasting

Predict future trends using machine learning algorithms

Real-time Monitoring

Continuous tracking with instant alerts

5

Comprehensive Reporting

Generate actionable insights through flexible reporting options, from instant exports to comprehensive report libraries.

Risk Assessment Report

Comprehensive risk analysis

Impact Analysis

Event impact assessment

Regulatory Compliance

Compliance documentation

Industry-Specific Workflows

See how the core flow adapts to different industry requirements

Insurance Flow

Policy data → underwriting → geospatial validation → reporting

  • Location risk
  • Claims correlation
  • Exposure view

Telecom Flow

Asset ingest → hazard overlay → downtime simulation

  • Tower map
  • Backbone risk
  • Impact cost

Government Flow

RDTR → zoning → hazard → reporting

  • Population impact
  • Evacuation
  • Resource allocation