What is the impact of Unreliable data on decision-making?

Unreliable data leads to incorrect forecasting, delayed decisions, excess spending, and poor planning. When data is duplicated, siloed, or outdated, business leaders lose confidence and risk making decisions based on flawed insights.

Why do enterprises struggle with data governance?

Most enterprises rely on manual validation and scattered data sources, which make governance slow and reactive. Without AI-driven systems, errors are detected after damage occurs not before.

What are the biggest causes of decision errors in enterprises?

The most common causes include duplicate records, inconsistent attributes, siloed data, manual validation, and outdated information. These directly affect procurement, forecasting, compliance, and financial planning.

How does PiLog support AI-driven data governance?

PiLog provides ISO-certified frameworks, SAP-ready integrations, a massive iContent Foundry (25M+ templates), and its proprietary AI Lens that performs real-time anomaly detection, enrichment, and classification.

Driving 20% Cost Savings in Petrochemical Capital Expansion -

Driving 20% Cost Savings in Petrochemical Capital Expansion

In an era of large-scale industrial growth and complex infrastructure projects, data integrity is the bedrock of operational excellence. By transforming fragmented asset, material, and engineering records into a standardized digital core, PiLog establishes the flawless Master Data foundation necessary to power safe, compliant, and high-margin capital expansions for global petrochemical leaders.

Challenges

500K+ Critical Assets & 1.1M+ Material Records Managed

Asset Performance Gaps

Inconsistent data across massive asset portfolios hindered reliability and maintenance strategies during expansion phases.

Massive Data Fragmentation

Managing over 1.1 million material records and 27k+ vendor records across 250+ locations created significant "Single Source of Truth" challenges.

Complex Project Lifecycles

Supporting Capital and Expansion projects (including SPIR and BOM) required seamless integration of engineering data into operational systems.

Multilingual Complexity

Operations spanning 20+ languages and 10+ departments led to communication silos and data inconsistencies.

Inventory Inefficiencies

Lack of optimized spare parts visibility resulted in inflated carrying costs and procurement delays for critical production spares.

The Solution

Global PiLog MDRM Implementation

Deploying Master Data Record Management for Materials (MM), Assets (AM), Services (SM), and Vendors (VM) across all global operations.

Capital & Expansion Support

Executing specialized data solutions for SPIR (Spare Parts Inventory Resolution) and Bill of Materials (BOM) to ensure project readiness.

APM & Criticality Analysis

Applying Asset Performance Management methodologies and performing rigorous Asset & Material Criticality Analysis to prioritize resources.

Extended Supply Chain Integration

Extending data solutions for Procure-to-Pay (P2P) and Source to Contract (S2C) across all global regions to harmonize procurement.

Standardized Governance

Implementing a unified framework to manage 6K+ service records and massive material volumes across 10+ departments. .

Transform your Petrochemical data from a legacy burden into a strategic Asset.

We help you clean, govern, and optimize your digital foundation to fuel the future of industrial intelligence.

Our Products

Specialized Services

Value Engineering Services

SAP Implementation Services

Knowledge Center