INDUSTRY VALUE DRIVER
Data Quality Fuels AI Excellence
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.
70%+
AI projects fail due to poor
data quality (Gartner 2025)
80%
Data scientist time ‘wasted’ on data preparation vs. actual modeling
4x
Data scientist productivity
improvement (80% → 20% prep)
15%
Supply chain cost reduction via AI with quality data (McKinsey)
The "Garbage In, Garbage Out" Trap
AI Pilot Stagnation
60-80% of data science effort is wasted on data preparation and wrangling rather than modeling, creating a permanent pilot-to-production gap.
Model Bias & Drift
Inconsistent identifiers, missing attributes, and lineage gaps lead to unreliable predictions and model degradation over time.
Untrusted Features
Low-quality data inputs undermine confidence in supply chain planning and predictive maintenance AI outputs, killing adoption.
Failed Investments
63% of organizations lack AI-ready data practices, resulting in millions in wasted AI technology, talent, and consulting fees.
The AI-Ready Data Foundation
PiLog DQG Suite creates the governed, enriched, and standardized master data that AI/ML pipelines need to work reliably, reducing data prep time from 80% to 20% and boosting AI project success rates to 90%+.
“High-quality, well-governed data is the critical success factor for scaling AI initiatives beyond pilots. Embedding MDM and DQ controls directly into AI/ML pipelines improves model reliability and auditability.”
AI Project Success Rate
30%
Without Quality Data
90%+
With PiLog DQG Suite
AI Excellence Outcomes
From Failed Pilots to AI Excellence.
90%+
AI project success rate with
PiLog DQG Suite vs. 30%
industry average
4x
Data scientist productivity
gain (prep time 80% → 20%)
15%
Supply chain cost reduction
via AI optimization (McKinsey)
3-6 Months
Faster time-to-value on AI
initiatives vs 12-24 month pilots
Is Your Data AI-Ready?
Let us assess your data readiness for AI and show the acceleration
opportunity, before your next pilot.
