Manufacturing SaaS
Solutions
Decision systems for industrial and built-world operations.
Duta Analytics designs practical analytics solutions for organizations that need trusted operational visibility, spatial context, and AI-assisted decision support across physical assets, factories, and infrastructure networks.
- Primary users
- Operations, engineering, management, planning
- Data domains
- Production, assets, quality, spatial, maintenance
- Delivery model
- Custom dashboards, analytics workflows, platform modules
GIS Services
Spatial Analysis
Map assets, service areas, site risks, and operational coverage using GIS-ready data layers.AI-Assisted Analytics
Decision Intelligence
Turn live operational signals into prioritized alerts, performance narratives, and recommended actions.Digital Twin
Industrial Digital Twin
Model sites, assets, process flows, and performance signals for planning and operational review.Operating Problems
Built for teams managing complex physical operations.
Operational data is fragmented across spreadsheets, machines, ERP exports, site reports, and ad hoc dashboards.
Leadership needs trusted visibility across plants, assets, projects, or service territories without adding reporting overhead.
Engineering, operations, and management teams need a common language for performance, risk, and intervention priority.
Spatial context is missing from industrial decisions that depend on location, coverage, infrastructure, and field conditions.
Solution Areas
Each solution expands from visibility into action.
Focused analytics programs for turning factory signals, spatial data, asset models, and operational context into clearer decisions across the organization.
Manufacturing SaaS
Factory Visibility
A unified operational layer for production, quality, downtime, maintenance, and leadership reporting.- Line performance and OEE
- Downtime and maintenance signals
- Quality variance and rework
- Shift, asset, and plant-level reporting
GIS Services
Spatial Analysis
Location intelligence for assets, service coverage, site risk, infrastructure planning, and built-world decision support.- Asset and site mapping
- Service-area and catchment analysis
- Risk and constraint layers
- Field-ready spatial data workflows
AI-Assisted Analytics
Decision Intelligence
Analytical workflows that convert live signals, historical patterns, and domain rules into prioritized action.- Exception monitoring
- Performance narratives
- Root-cause indicators
- Recommended next actions
Digital Twin
Industrial Digital Twin
A structured operating model of sites, assets, process flows, and performance signals for planning and review.- Asset and process models
- Signal relationships
- Scenario comparison
- Operational simulation readiness
Engagement Structure
From operational question to deployed decision workflow.
Define the operating question
Clarify the decisions, stakeholders, data sources, and reporting cadence that the solution must support.
Connect and structure data
Prepare production, spatial, asset, maintenance, quality, and business datasets into a reliable analytics model.
Deploy decision workflows
Deliver dashboards, alerts, review views, and analytical narratives that fit daily operational routines.
Improve with evidence
Iterate using adoption, data quality, operational feedback, and measurable improvement indicators.
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