Operational Performance
Understand losses, constraints and performance relationships.
Data & AI · Operational Performance · Value Optimisation
From operational data
to measurable value.
I design data, analytics and AI systems that connect operational performance to the drivers that create or destroy value—helping organisations identify constraints, understand losses and make better decisions.
Turning operational data into measurable operational and business value. Asset Intelligence is one important application of this approach.
Value Driver Modelling
Connect operational drivers to measurable outcomes.
Data Engineering
Reliable, governed operational and enterprise data.
Analytics & AI
Diagnostics, statistics and appropriate AI.
Asset Intelligence
Condition, reliability and asset-performance evidence.
Decision Systems
Prioritisation, scenarios, alerts and visualisation.
Operational context
Mining first. Transferable discipline.
Experience grounded in mining and complex operations, supported by enterprise data and industrial systems.
$5MEstimated mining cost saving identified through operational analytics
75% → 1%Data release failures reduced through engineering and controls
4h → 30mEnterprise data release cycle reduced
$400k p.a.Expected saving from replacement enterprise data pipeline
Core capability
From operation to value—with evidence at every step.
The work starts with the operation and the decision, not the technology. Data, analytics and AI are applied where they strengthen the chain from performance driver to measurable outcome.
01 / OPERATIONS
Operational Context
Understand the operation, objectives, constraints and performance measures.
02 / DRIVERS
Value Drivers
Identify the operational drivers that influence throughput, utilisation, productivity, cost and value.
03 / DATA
Data Foundation
Connect operational, asset, spatial and enterprise data with reliable engineering, quality and provenance.
04 / ANALYTICS
Performance Intelligence
Use diagnostic analytics, statistics and appropriate AI to identify losses, relationships, constraints and opportunities.
05 / DECISION
Decision Support
Turn analysis into prioritisation, scenarios, alerts, visualisation and actionable operational insight.
06 / VALUE
Value Realisation
Connect changes in operational drivers to measurable operational and financial outcomes.
Operation↓Performance Driver↓Data & Evidence↓Analytics / AI↓Decision↓Operational & Business Value
Value driver thinking
Performance metrics tell you what happened. Value drivers help explain why it matters.
This is an illustrative framework—not a universal mining equation. Definitions, causal relationships and value-driver structures differ between operations and must be validated against local context and evidence.
Outcome
Business Value
Measurable operational and financial outcomes.
Level 05
Production / Cost / Productivity
Level 04
Throughput / Rate / Yield
Level 03
Operating Time / Availability / Utilisation
Level 02
Delays / Constraints / Asset Performance
Evidence
Operational Conditions & Root Causes
Asset Intelligence
Asset performance is a value driver.
Reliability, condition monitoring, failure modes and inspection evidence help explain how asset condition contributes to production losses, operational risk and performance. This is a substantial application of the broader operational-performance approach—not a separate professional identity.
01 / ASSET
Asset & failure context
Operating regime, failure modes, consequences and criticality.
02 / EVIDENCE
Condition & operational data
Thermal, vibration, inspection, sensors and operating context.
03 / ANALYSIS
Diagnostics & predictive analytics
Rules and statistics first; machine learning where it adds reliable evidence.
04 / IMPACT
Operational consequence
Connect condition and failure risk to constraints, lost production and decisions.
Applied evidence
Projects across the operational-value chain.
Each project demonstrates a different part of the capability—from operational decision intelligence to data assurance and practical condition-data experimentation.
Operational performance & decision intelligence
Mining Decision Support
Enterprise mining analytics, compliance-to-plan and operational insight grounded in real operational decisions, constraints and enterprise data.
Operational contextFrame the measures around the operation, decision and source of performance loss.
Integrated evidenceConnect operational and enterprise data to make performance relationships visible.
Decision outcomeTurn analysis into clear priorities and measurable improvement opportunities.
Asset intelligence · Practical exploration
Asset Health Lab
Practical exploration of rotating equipment, failure modes, thermal and vibration evidence, data engineering and analytics—building industrial depth that supports broader operational intelligence.
Automated data quality & spatial assurance
VoxelData
Automated spatial QA/QC demonstrating measurable specifications, reliable data engineering, provenance, repeatable validation and cloud automation.
Experience
Enterprise data leadership. Operational outcomes.
Experience leading data products, platforms, analytics and automation across mining and other complex enterprises—with technology used as the foundation for better operational decisions.
PythonSQLSnowflakeAWSPower BICloud ArchitectureGenAI
BHP — Global Operational Performance
Lead Product Delivery across operational performance insight, data engineering, analytics, visualisation and GenAI; previously Principal Data & Platform Engineer.
CoreLogic — Data Operations & Commercial Research
Executive leadership across enterprise property data, data operations, commercial research, spatial analytics and cloud migration.
Fallon Solutions — Cloud Data Architecture
AWS data platforms, governance, analytics, predictive modelling and operational decision support.
Earlier enterprise consulting
Database, data administration and technical consulting across Oracle, SQL Server and enterprise systems.
Working notes
Operational performance, data and industrial intelligence.
Writing and practical work across performance drivers, enterprise data, analytics, AI, asset intelligence, architecture and evaluation.
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Read note →Current direction
Turning operational data into measurable value.
I work across operational context, enterprise data, analytics, automation and AI to identify performance drivers and build decision systems that improve operational outcomes.
Let’s connect →