Evidence

Outcome-led analytics for serious operational environments.

Implementation evidence is measured through practical operating improvements: faster reporting cycles, unified decision layers, and clearer review workflows for industrial teams.

Verified outcome

Production visibility layer for multi-line factory operations

Reduced manual reporting and improved shift-level performance review.

0faster reporting cycle
Verified outcome

GIS service coverage model for infrastructure planning

Combined spatial, asset, and operating data into map-based planning views.

0decision layers unified
Discrete manufacturing10-week implementation scenario

Production visibility layer for multi-line factory operations

A multi-line factory team needed a shared view of production output, downtime reasons, shift performance, and quality exceptions across supervisors and management.

Challenge

Daily reporting depended on spreadsheets and manual consolidation. A typical shift review required 90 minutes of preparation, while downtime categories were reviewed only after the end of the day.

Approach

Duta Analytics structured machine, shift, quality, and maintenance inputs into a production visibility layer with OEE views, downtime Pareto analysis, exception alerts, and management-level reporting.

Measured Indicators
  • Reporting preparation reduced from 90 minutes to 52 minutes per shift review.
  • Downtime categorization coverage improved from 68% to 91% of recorded stoppages.
  • Supervisors gained same-shift visibility into the top 5 recurring loss reasons.
Evidence Points
3 production lines14 tracked downtime categories6 operating dashboards
Infrastructure planning8-week spatial analytics scenario

GIS service coverage model for infrastructure planning

A planning team needed to compare service areas, field assets, risk zones, and operational coverage using one spatial decision model.

Challenge

Coverage analysis was split across static maps, asset lists, and separate site reports. Teams could not quickly compare service demand, asset proximity, and constraint layers during planning reviews.

Approach

Duta Analytics consolidated GIS layers, asset records, service boundaries, and operational indicators into a map-based planning model with layer controls and decision-ready exports.

Measured Indicators
  • 18 spatial and operational layers consolidated into one review workspace.
  • Planning review time reduced from 5 working days to 2 working days for standard coverage assessments.
  • Asset proximity checks improved from manual radius review to reusable service-area analysis.
Evidence Points
42 mapped assets7 service territories11 constraint and risk layers