Mining & Metals · PiLog DQG Suite
When A Mine’s Production Line Stalls,The Hidden Culprit is Often Bad Data.
Unplanned downtime costs mining operations up to 50% of their margins, often driven by fragmented data, inconsistent BOMs, and poor maintenance records. The PiLog DQG Suite eliminates these risks by cleansing and consolidating your data. Gain reliable asset masters, unified BOMs, and accurate history to maximize uptime, enhance safety, and protect your bottom line.
Annual Global Losses From Unplanned Downtime
KEY CHALLENGES
Where Master Data Failures Cost Mining & Metals Operators the Most
Every one of these challenges has a data root cause. PiLog DQG Suite addresses each systematically – not as a one-off project, but as a sustained governance program.
Excess MRO Inventory Carrying Cost
Poor material master data creates duplicate spare parts records across multi-site operations. BCG research shows 5-15% of MRO inventory. Clean MDM delivers 15% spare parts improvement.
$4,500 - 7,500
tied up in redundant or obsolete stock, costing per redundant part annually
OEE Below World-Class Levels
Mining average Overall Equipment Effectiveness (OEE) sits below 70% vs. The 85% + world- class benchmark. Clean equipment hierarchies, accurate BOMs, and standardized failure codes are prerequisites for data-driven OEE Optimization.
1%
OEE improvement represents millions in additional throughput
Unplanned Equipment Downtime
Inaccurate asset hierarchies and missing BOMS prevent root-cause analysis and predictive maintenance. Maintenance costs by 18-25% – but only when built on clean, enriched asset master
data.
50%
McKinsey shows predictive maintenance reduces unplanned downtime
Logistics & Transportation Cost Leakage
Fragmented vendor master data leads to duplicated freight contracts, emergency procurement. MDM- driven vendor rationalisation and spend visibility consistently delivers 8-15% logistics savings across multi-site operations.
10 - 15%
freight premium on rush orders
AI Readiness Insight
Data Quality = AI Success in Mining & Metals Industry
Al initiatives in mining – covering equipment health, ore grade prediction, and autonomous haulage analytics etc. – require clean equipment masters, accurate sensor-to-asset linkages, and enriched maintenance histories.
Gartner (2024) research warns that 60% of Al projects lacking Al-ready data eventually FAIL, and 63% of organisations currently lack Al-ready data practices. Without a trusted MDM foundation, predictive models generate false alarms that maintenance teams ignore – destroying both Al Rol and stakeholder trust.
60%
Mining AI programs fall short
of expected ROI due to poor data quality (Gartner 2024)
4x
Data scientist productivity gain
when data prep time drops from 80% to 20%
90%+
AI project success rate
achieved by PiLog clients vs. 30% industry average
How PiLog Delivers Value
Four Ways PiLog DQG Suite Solves
Mining & Metals MDM Challenges.
Every capability in PiLog DQG Suite is domain-specific, built for the complexity of offshore platforms,
remote terminals, and multi-facility EAM environments.
Inventory Management
Data Driven Inventory Management
PiLog’s Al-powered deduplication and ISO 14224 taxonomy standardisation identify hidden duplicate MRO stock across all mine sites, release trapped working capital and reduce emergency purchases by 20-40%. For a $100M inventory portfolio, that’s $3M-$10M+ released.
25M+ Gold Records
30K+ ISO-Standard Taxonomies
Deduplication
SAP MM
Vendor Master
3 - 10%
Reduction in Unplanned
Downtime
$3-10M
Inventory Portfolio
85%+
OEE: world-class target from <70% industry average
20 - 40%
Reduce Emergency Purchases
Asset Management
OEE and Asset Performance
PiLog builds ISO & other industry standard compliant equipment hierarchies, normalises failure codes, links BOMs to asset masters, and enables full lifecycle cost roll-up. This data foundation unlocks OEE dashboards, MTBF/MTTR analytics, and predictive maintenance targeting the 85%+ world-class benchmark.
ISO 14224
Asset Hierarchy
SAP APM / EAM
Lifecycle Costing
BOM <-> Spares Linkage
30 - 50%
Reduction in Unplanned
Downtime
$5 - 20M
Annual savings for typical Mining & Metals operator
85%+
OEE: world-class target from <70% industry average
18 - 25%
Maintenance cost reduction via predictive approach
SAP Transformation
RISE & GROW with SAP : De-Risked
Companies moving from SAP ECC to S/4HANA risk multi-million-dollar project overruns without clean master data. PiLog’s expertise ensures 95%+ data accuracy at cutover, Clean Core compliance, and on-time delivery protecting your SAP investment from underperforming due to poor data
S/4HANA Migration
Clean Core Compliance
BOM <-> Spares Linkage
SAP Endorsed App
Post-Go-Live Governance
95%+
Data accuracy at
go-live cutover
$5-15M
Project overruns and
remediation costs avoided
On Time
Go-live achieved with PiLog DQG
Suite vs. 30% timeline slips
5-10x
Return on MDM investment for
RISE/GROW program
AI Readiness
Data Quality Fuels AI Excellence
PiLog creates Al-ready data: enriched equipment masters, standardized schemas, governed change histories. Clients achieve 4x data-scientist productivity gains, 90%+ Al project success rates, and capture McKinsey’s benchmark of 15% supply chain cost reduction through Al optimisation.
ISO 14224
Asset Hierarchy
SAP APM / EAM
Lifecycle Costing
BOM <-> Spares Linkage
90%+
AI project success rate with PiLog DQG Suite vs. 30% industry average
4x
Data scientist productivity (data prep time reduced 80% → 20%)
15%
Supply chain cost reduction via AI (McKinsey benchmark)
3-6 Months
Faster AI time-to-value vs. 12-24 month AI pilots
All Four Solutions. One Platform. PiLog DQG Suite.
The only MDM platform built specifically for asset-intensive industries – with 25M+ golden records, ISO 8000 and ISO 14224 adherence, and 220+ enterprise integrations. Every Mining capability described above runs on PiLog DQG Suite.
Asset Master
Material Master
iContent Foundry
AI Ready Operations
Proven Business Outcomes
Quantified Value.
Delivered for Mining & Metals.
These are not projected estimates: they are benchmark outcomes
achieved across PiLog’s Mining client base
15%
MRO Inventory Reduction
20%
Maintenance Productivity Gain
50%
Unplanned Downtime Reduction
4-6 Months
Investment Payback Period
Mining Customer Case Studies
Reclaiming 23% by Slashing Inventory Waste with Zero Reliability Risk
Despite massive working capital tied up in inventory, a major mining operator struggled with material records that lacked reliability and significant data fragmentation.
How Much is Poor Data
Costing Your Operations?
Let us quantify the downtime, maintenance leakage, and inventory waste in your specific Mining environment and build a business case for fixing it.
Explore More Industries
PiLog DQG Suite for Asset-Intensive Industries.
The same data lifecycle management expertise applied to the specific challenges of your industry.
Oil & Gas
Utilities & Power
Manufacturing
Transportation
Defence
Pharma & Life Sciences
Retail
Chemicals
