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Introducing PiLog Data Governance: The Ultimate Subscription-Based Platform for Empowering Businesses

The Data Governance Concept Promotes Three Significant Pillars.

PiLog’s data governance applies the principles of lean management to the governance of data within organizations. It focuses on ensuring that data-related processes are efficient, effective, and aligned with the organization’s goals, while minimizing time and effort.

Simple
  • ✦ Preconfigured & Augmented Business & Data Content
  • ✦ Shift Left User Engagement Models
  • ✦ Scalable Solutions & Architecture
  • ✦ Enables Multi Domain, Tenant & Language
Agile
  • ✦ Adaptable for various systems & businesses
  • ✦ Scalable, Cloud-First & API-First Architecture
  • ✦ Modular, Easy to deploy/li>
  • ✦ Sustainable, Flexible & Continuous Improvement
Swift
  • ✦ Unified User experience
  • ✦ Conversational AI
  • ✦ Multi-domain, Multi-Lingual business features
  • ✦ Quick validations & data quality insights

Here are some key aspects of Data Governance:

Value & Vision (KPIs & KRAs)

Reusable Content, Repository & Dictionary

Value & Vision (KPIs & KRAs)

Reusable Content, Repository & Dictionary

Value & Vision (KPIs & KRAs)

Reusable Content, Repository & Dictionary

Impactful Business Value Management with Data Governance

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Improved Inventory Visibility

Improved Inventory Visibility enhances real time tracking and management of inventory levels.


Standardized short & long descriptions

to improve searching and easy identification.


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Support Maintenance & Operations

35% of Retail Sectors implementing AI to improve customer experience, optimize inventory, and forecast demand and trends.

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Time & Cost Reduction & Potential Saving

35% of Retail Sectors implementing AI to improve customer experience, optimize inventory, and forecast demand and trends.


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Zero Down Time During Maintenance

as spares availability would be HIGH.


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Supplier to Material & Product Category Linkage:

Easy approach to suppliers in case the materials found but the owner of the spare refuse to release.

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Extended Partnership

Build the foundation & strengthen the relationship among companies


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Domestic Vs. Import

Provide accurate information for local content & decision making.

Data Governance Powered by PiLog iDXP (Data Exchange Platform)

Data Science involves extracting insights and knowledge from data using techniques from statistics, computer science, and domain expertise. It encompasses data collection, processing, analysis, and visualization to support decision making and predictive modeling.

Generative AI creates new content or data using machine learning models, such as text, images, or music. Augmented AI enhances human capabilities by combining AI s strengths with human intelligence for improved decision making and productivity.

Data Science involves extracting insights and knowledge from data using techniques from statistics, computer science, and domain expertise. It encompasses data collection, processing, analysis, and visualization to support decision making and predictive modeling.

Data Science involves extracting insights and knowledge from data using techniques from statistics, computer science, and domain expertise. It encompasses data collection, processing, analysis, and visualization to support decision making and predictive modeling.

Data Science involves extracting insights and knowledge from data using techniques from statistics, computer science, and domain expertise. It encompasses data collection, processing, analysis, and visualization to support decision making and predictive modeling.

The contemporary trend is to be AI Ready, but are we Data Ready and AI Ready?

Lean Data Governance is the bedrock for eliminating waste from business processes and supporting decision making at its best, whether supported by humans, Artificial Intelligence or both.

Simplify Your Data. Amplify Your Impact.

Want to discover how our lean principles of data governance eliminate complexity, reduce waste, and boost agility?