Mining & Metals
BI Dashboards & Analytics for Mining & Metals
BI Dashboards & Analytics for mining & metals, built around the constraint that defines the sector: the environment is hostile to hardware and safety compliance is non-negotiable.
- Regulations in scope
- 3
- Systems we integrate
- 4
- Typical first release
- 6 weeks
What changes when it is mining & metals
We track dashboard usage and retire what nobody opens. An unused dashboard still costs maintenance and still contributes to the noise.
In mining & metals, the environment is hostile to hardware and safety compliance is non-negotiable. That single fact reshapes how bi dashboards & analytics has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is PPE and safety compliance monitoring, usually integrated against ERP. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.
Built by engineers who ship production systems, not by a practice that subcontracts the build. Six weeks to something running in production, not six quarters to a strategy document.
The sector constraints we design around
- Defining constraint
- the environment is hostile to hardware and safety compliance is non-negotiable
- Regulations in scope
- DGMS safety regulations · environmental clearances · mineral concession rules
- Systems of record
- fleet management · SCADA · ERP · geological modelling software
- Where we usually start
- PPE and safety compliance monitoring
BI Dashboards & Analytics workloads in mining & metals
- PPE and safety compliance monitoring
- haul fleet optimisation
- equipment failure prediction
- ore grade estimation
- environmental compliance reporting
What is included
- Metric definitions agreed and documented once
- A semantic layer so numbers cannot diverge by report
- Dashboards designed for decisions, not for decoration
- Scheduled distribution to the people who need it
- Natural-language follow-up questions over the same data
- Usage tracking so unused dashboards get retired
Questions from this sector
Will cameras survive site conditions?
With appropriate industrial housings, yes. Hardware selection matters more than model selection in mining deployments.
Can it improve safety compliance?
PPE and exclusion-zone monitoring provide consistent, documented observation that manual supervision cannot match across a full shift.
Which BI tool do you use?
Power BI, Metabase, Superset or a custom build, chosen on your licensing, team skills and how much customisation you need. We are not tied to one vendor.
Why do our reports disagree?
Almost always because the same metric is defined differently in different places. A semantic layer with one agreed definition fixes it structurally rather than report by report.
Can non-technical staff ask their own questions?
Yes, natural-language querying over the governed semantic layer, so answers stay consistent with the dashboards.
Other capabilities for mining & metals
- AI Agent Development for Mining & Metals
- Agentic Workflow Automation for Mining & Metals
- LLM Application Development for Mining & Metals
- RAG & Knowledge Retrieval for Mining & Metals
- Chatbot Development for Mining & Metals
- Computer Vision for Mining & Metals
- AI Copilot Development for Mining & Metals
- Data Engineering for Mining & Metals
- Enterprise AI Platform for Mining & Metals
- Workflow & Integration Automation for Mining & Metals
BI Dashboards & Analytics for mining & metals, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878