DATA MATURITY NAVIGATOR

Rapid Assessment Tool for Mining Operations

What is this tool?

This is a quick reconnaissance tool designed to provide a 15-minute snapshot of your data maturity position. It is NOT a comprehensive strategic assessment (which typically requires several weeks of consultant work), but rather a practical conversation starter that helps identify where you are, where you want to go, and roughly how long it might take to get there.

Why it works

Based on real-world mining assessments - the focus areas come from actual consulting engagements in mining operations

Built from collective experience - the structure reflects insights from multiple consultants and assessment projects

Practical scope - delivers quick orientation (15 minutes) versus a full assessment (several weeks)

Decision support - helps identify whether a deeper analysis is warranted and which areas to prioritize

Who is it for?

For Decision Makers
CEO, CTO, CFO, Operations Directors - this assessment provides the strategic overview and business case foundation needed for data transformation decisions
Typically conducted with support from:
IT/Technology Leaders
Know current systems and data infrastructure
External Consultants
Facilitate assessment and provide industry context
Operations Managers
Understand day-to-day data challenges and needs

IMPORTANT

This tool provides directional insights and preliminary priorities. For strategic decision-making, business case development, or detailed implementation planning, a comprehensive assessment by experienced consultants is recommended.

Welcome to Data Maturity Navigator

Assess your data & analytics readiness in 15-30 minutes

Foundation
Development
Growth
Maturity
Excellence
0-6m
Manual & Reactive
Excel reports, delayed data, reactive decisions
6-12m
Structured & Organized
Basic systems, standardized workflows
12-18m
Analytical & Insightful
Integrated platforms, data-driven decisions
18-24m
Strategic & Predictive
Predictive analytics, real-time dashboards
24m+
Intelligent & Autonomous
AI/ML models, autonomous decisions
Your Data Maturity Journey

Why This Assessment Matters

Mining operations generate massive amounts of data, but many struggle to turn it into actionable insights. This diagnostic tool helps you understand where you are today and creates a personalized roadmap to unlock the full value of your data assets.

Quick Wins
Identify critical gaps and immediate opportunities
Smart Recommendations
Get personalized, data-driven guidance
Transformation Plan
Build a phased roadmap with clear milestones

Current State Assessment

Select the maturity level that best describes your organization today

This is a High-Level Self-Assessment

Select the level that generally best fits your organization. This quick assessment provides directional guidance for planning. A detailed, comprehensive assessment (4-8 weeks) will be conducted before transformation begins to accurately position your organization and identify specific gaps across all areas.

Selected Level
Not selected
1
Manual & Reactive
No integration, decisions made after the fact
Excel reports via email
Delayed data (3+ days)
No failure history
Excel-based reports sent via email
Delayed data (e.g., production reports after 3 days)
No equipment failure history or trend analysis
We fix problems when they happen (reactive maintenance)
2
Structured & Organized
Systems exist, but operate in silos
SAP/SCADA in silos
Data duplication
No single source of truth
SAP / SCADA systems operate independently
Data duplication between departments
Department-level KPIs only (no unified view)
No single source of truth for operational data
3
Analytical & Insightful
Decisions based on evidence, not instinct
BI dashboards
Trend analysis
Data-driven decisions
BI dashboards for production and downtime
Trend analysis for recovery, output, safety
Awareness of data quality and governance
Data informs operational and management decisions
4
Strategic & Predictive
Managing the future, not just reporting the past
Predictive maintenance
Route optimization
Forecasting & alerts
Predictive maintenance using IoT + CMMS data
Haul-truck route optimization via GPS data
Energy and water consumption forecasting
Pre-incident safety and environmental alerts
5
Intelligent & Autonomous
Self-learning, continuously optimized operations
AI-driven dispatching
Automated plant control
Real-time ESG monitoring
AI-driven dispatching of trucks and drills
Automated plant control and process adjustments
Real-time ESG reporting and compliance monitoring
Continuous optimization of cost, safety, and emissions

Priority Areas Assessment

Rate the priority for improvement in each area

1 = Low priority (working well, no urgent need) | 3 = Medium priority (needs attention soon) | 5 = Critical (must address immediately - major blocker)

Critical Areas
0
Important Areas
0
Areas Rated
0/18

Operational Efficiency

Predictive Maintenance Requires Level 4-5

Forecasting equipment failures (conveyors, haul trucks, crushers) based on IoT and maintenance history data

NOT RATED
Fleet Optimization Requires Level 3-4

Monitoring vehicle utilization, cycle times, fuel use, and haul route efficiency

NOT RATED
Process Plant Optimization Requires Level 3-4

Analyzing throughput, recovery rates, and ore grade to improve processing performance

NOT RATED
Inventory & Supply Chain Management Requires Level 3

Managing stock levels, spare parts, and logistics flows

NOT RATED
Energy & Water Efficiency Requires Level 3-4

Tracking and optimizing energy and water consumption across sites

NOT RATED
Automation & Digital Control Tower Requires Level 4-5

Real-time visibility across operations with integrated dashboards and alerts

NOT RATED

Environmental & Sustainability

ESG & Sustainability Reporting Requires Level 3

Automating environmental and social reporting across sites

NOT RATED
Environmental Compliance Requires Level 3-4

Monitoring permit limits and regulatory thresholds

NOT RATED
Dust Cloud & Air Quality Prediction Requires Level 4-5

Forecasting dust and air pollution using sensor and weather data

NOT RATED
Water Quality & Tailings Management Requires Level 3-4

Analyzing tailings dam conditions and water quality

NOT RATED
Safety & Incident Analytics Requires Level 3-4

Analyzing HSE data to identify risk patterns

NOT RATED
Community & Social Impact Tracking Requires Level 2-3

Monitoring local employment, procurement, and social investment

NOT RATED

Data Management & Decision Intelligence

Data Integration & Quality Requires Level 2-3

Connecting disparate sources (ERP, SCADA, LIMS, CMMS)

NOT RATED
IoT Data Utilization Requires Level 3-4

Collecting and using sensor streams from equipment

NOT RATED
Advanced Analytics & AI Models Requires Level 4-5

Developing ML models for grade forecasting, recovery optimization

NOT RATED
Intelligent Assistant for Query (ChatBI) Requires Level 4-5

Natural-language query assistant for KPIs and performance

NOT RATED
Anomaly & Pattern Detection Requires Level 4

Automatically detecting abnormal behavior in process data

NOT RATED
Data Governance & Access Control Requires Level 2-3

Managing permissions, roles, metadata, and data catalog

NOT RATED

Target State Definition

Define where you want to be in 12-36 months

Current Level
-
Target Level
-
Gap to Close
-

Implementation Timeline

How much time do you have for this transformation?

12 months
Fast track
High urgency, focused scope
24 months
Balanced approach
Recommended for most organizations
36 months
Comprehensive transformation
Large-scale, multi-site deployments

Target Maturity Level

Where do you want to be at the end of this period?

2
Fragmented & Siloed
Department-level dashboards, some integration
3
Analytical & Insightful
Enterprise-wide reporting, data-driven decisions
4
Predictive & Optimized
AI/ML models, predictive maintenance, optimization
5
Autonomous & Self-Learning
Fully automated decisions, continuous learning

Data Maturity Roadmap

Your personalized assessment results and recommendations

Current State
-
Target State
-
Critical Areas
-
Timeline
-

Priority Matrix

Your 18 areas plotted by importance and required maturity level

Importance
Quick Wins
High importance, lower maturity needed
Strategic Priorities
High importance, high maturity needed
Low Priority
Low importance, lower maturity needed
Consider Later
Low importance, high maturity needed
Required Maturity Level

Top 5 Recommendations

1
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Implementation Phases

Phase 1
Months 1-6
Foundation & Quick Wins
  • Data integration setup
  • Quick win implementations
Phase 2
Months 7-12
Core Capabilities
  • Advanced analytics deployment
  • Process optimization
Phase 3
Months 13+
Advanced & Scale
  • AI/ML model deployment
  • Enterprise-wide rollout

Assessment Complete!

Your Mining Data Maturity Roadmap is ready

Current Level
-
Target Level
-
Critical Areas
-
Timeline
-

Your Report Includes:

  • Executive summary of your current data maturity
  • Priority matrix with all rated areas
  • Top 5 personalized recommendations
  • 3-phase implementation roadmap
  • Gap analysis and timeline feasibility

Need help implementing your roadmap?

Schedule a workshop with our team to turn this assessment into action.