INDUSTRY VALUE DRIVER
Data Quality Foundation:
Specialized MDM
Generic MDM tools were not built for your world. PiLog DQG Suite is the specialist platform that eliminates the $12.9M annual data quality tax through purpose-built governance for asset-intensive environments.
$12.9M
Average annual cost of poor data quality (Gartner 2025)
85%
Big data/AI projects fail partly due to data quality
1 in 3
Leaders who don t trust their data for decisions
200-500%
ROI in 12 24 months
The Data Quality Problem.
Siloed Data & Conflict
Fragmented domains and duplicates drive conflicting KPIs, leading to slow and inaccurate decision-making across the enterprise.
High Remediation Costs
30 50% of digital transformation effort is wasted on reactive data discovery, cleaning, and rework, slowing every initiative.
Compliance & Risk
Inconsistent reference data and gaps in data lineage increase exposure to regulatory audit failures and operational risk.
Lack of Trust
Business users abandon analytics systems when master data is unreliable leading to manual reconciliation and hidden FTE costs
Specialist MDM vs. Generic MDM
Industrial data is fundamentally different from commercial data. Equipment attributes, failure mode semantics, ISO 8000/14224 taxonomies generic MDM tools don t understand your domain.
“Treat data quality as a continuous program, not a one-off project. Domain-focused MDM with strong governance accelerates time-to-value and significantly reduces operationalrisk compared to generic tools.”
Gartner Data Quality Market Guide, 2025
Revenue Leakage from Poor Data Quality
1-5% of annual revenue lost to data quality issues
PiLog's MDM Strategy
From Reactive Cleanup to First-Time-Right.
1
PiLog DQG Suite as Multi-Domain MDM Platform
Multi-domain coverage: Materials, vendors, customers, assets, products. Centralized governance with role-based stewardship workflows. AI-powered cleansing, deduplication, and standardization at scale.
2
Governance Framework Implementation
Stewardship model with clear RACI ownership, policy definition and enforcement engine, data quality KPI dashboards (completeness, accuracy, consistency), and compliance audit trails.
3
Integration & Real-Time Synchronization
220+ certified connectors to SAP. Real-time and batch synchronization methods with master data propagation across the full ecosystem.
PROVEN Outcomes
Eliminate the $12.9M Quality Tax.
$12.9M
Annual quality cost eliminated (Gartner benchmark)
500+ FTE
Hours reclaimed from data rework and reconciliation
95%+
Data accuracy at go-live vs. 40-60% with manual approach
3-5X
Faster analytics and BI reporting with trusted data
What Is Your Data Quality Tax?
Gartner shows $12.9M is the average, but your organization’s number could be higher. Let us quantify it.
