DATA QUALITY
PiLog Data Quality
PiLog’s AI‑driven Data Quality solutions deliver measurable business outcomes that translate directly into cost savings, productivity gains, and risk reduction.
- Cost Efficiency
- Operational Agility
- Risk Mitigation
Deduplication
Duplicate‑record reduction of 30‑45% on average, eliminating redundant master‑data entries across ERP, CRM and cloud systems.
Low Effort
Manual data‑cleansing effort lowered by 40‑60%, freeing staff to focus on higher‑value activities such as analysis and innovation.
Shorter Procurement Cycle
Procurement cycle time shortened by 15‑25% after standardizing vendor and material master data, accelerating order fulfilment.
Audit Readiness
Compliance‑related audit findings reduced by 50‑70% through automated validation, ISO 8000 alignment and full audit trails.
The Problem Statement
Reliable Data Begins with Quality
Despite investing in SAP and sophisticated ERP landscapes, many organizations still wrestle with fragmented, inconsistent, and incomplete master data across more than 25 core objects (materials, assets, services, suppliers, etc.). The lack of a unified, AI enhanced data quality layer leads to duplicate golden records, missed alerts, and manual rework that drains the time of data stewards and frontline operators.
Production downtime and safety risk
Erroneous asset master data leads to incorrect maintenance schedules, resulting in unplanned outages and heightened safety exposure.
Regulatory non‑compliance
Incomplete audit trails and
non-standardized data quality checks expose companies to fines and reputational damage.
Cost Leakage
Duplicate and outdated records inflate procurement spend, cause over stocking, and generate unnecessary purchase orders amounting to millions of dollars annually.
Analytics paralysis
Inconsistent master data skews analytics, undermining strategic decision making and delaying digital transformation initiatives
Manual data‑cleansing effort
Data stewards spend up to 60% of their time resolving duplicates, leaving less capacity for value adding activities.
Integration friction
Misaligned taxonomies across your SAP touchpoints can cause synchronization errors and equire costly custom interfaces.
User frustration
Inconsistent master data leads to repeated error messages in downstream applications, reducing employee productivity and morale.
Scalability bottleneck
As the volume of records grows, legacy rule-based validation struggles to keep pace, slowing onboarding of new assets.
Core Capabilities That Address the Challenges
What Makes PiLog Data Quality Different.
Despite investing in SAP and sophisticated ERP landscapes, many organizations still wrestle with fragmented, inconsistent, and incomplete master data across more than 25 core objects (materials, assets, services, suppliers, etc.). The lack of a unified, AI enhanced data quality layer leads to duplicate golden records, missed alerts, and manual rework that drains the time of data stewards and frontline operators.
Industry Focused
Governance Engine
Domain driven, ISO aligned rules validate every master data object at the moment of entry, stopping errors before they propagate downstream.
iMirAI Assisted Stewardship
& Golden Record Creation
Governance Engine
Domain driven, ISO aligned rules validate every master data object at the moment of entry, stopping errors before they propagate downstream.
iContent Foundry
Domain driven, ISO aligned rules validate every master data object at the moment of entry, stopping errors before they propagate downstream.
Deep SAP Integration & Certified Connectivity
220+ SAP certified connectors provide bi‑directional sync with S/4HANA, SAP MDG, SAP EAM and SAP Business Network Asset Collaboration, keeping data audit ready and ISO compliant.
Real‑Time Governance & Auditable Controls
Role‑based access, immutable audit trails and continuous quality scoring give instant visibility and proactive alerts.
Ready to See PiLog Data Quality In Action?
Schedule a personalized demo tailored to your industry and data challenges.
