INDUSTRY VALUE DRIVER
Data Quality Fuels AI Excellence
70% of AI projects fail and the #1 reason is poor data quality. You can hire the
best data scientists and license cutting-edge AI platforms, but garbage in still
means garbage out. PiLog DQG Suite builds the AI-ready data foundation that
turns stalled pilots into production ROI.
INDUSTRY VALUE DRIVER
Data Quality Fuels AI
Excellence
70% of AI projects fail and the #1 reason is poor data quality. You can hire the best data scientists and license cutting-edge AI platforms, but garbage in still means garbage out. PiLog DQG Suite builds the AI-ready data foundation that turns stalled pilots into production ROI.
INDUSTRY VALUE DRIVER
Data Quality Fuels AI Excellence
70% of AI projects fail and the #1 reason is poor data quality. You can hire the best data scientists and license cutting-edge AI platforms, but garbage in still means garbage out. PiLog DQG Suite builds the AI-ready data foundation that turns stalled pilots into production ROI.
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).
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
The
"Garbage In, Garbage Out"
Trap
AI Pilot Stagnation
60-80% of data science effort is wasted on data preparation and wrangling project startup, increasing rather than modeling, creating a permanent pilot-to-production gap.
Model Bias & Drif
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 successfactor for scaling AI initiatives beyond pilots. EmbeddingMDM and DQ controls directly into AI/ML pipelinesimproves model reliability and auditability.”
Gartner AI Hype Cycle, 2025
AI Project Success Rate
30%
Without Quality Data
90%+
With PiLog DQG Suite
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.
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.
