Full range of data cleansing, coding, enrichment, migration, and governance services for your ERP master data including Material Master, Service Master, Vendor Master, and Asset/Equipment Master. Ensuring clean, consistent, accurate, and effectively searchable data for your business processes.
PNV is a global company specializing in enterprise data management solutions and services, headquartered and operating in India. We help organizations improve and manage their master data through project-based outsourcing solutions to ensure it is clean, consistent, accurate and effectively searchable.
We cover the full range of data cleansing, coding, enrichment as well as support in migration, governance and management services for ERP master data such as Material Master, Service Master, Vendor Master, and Asset/Equipment Master within the functional areas of Material Management and Plant Maintenance.
We focus on master data fundamentals and develop effective strategies and processes, train our employees in their implementation, and build effective interactions with our customers to drive master data transformation projects with global delivery capabilities.
We provide end-to-end support, from data health validation and analysis to comprehensive master data solutions. This enhances operational performance, enables informed decision-making, and strengthens enterprise data processes. Our team works closely with clients to ensure their data delivers measurable business value and drives sustainable growth.
We utilize Artificial Intelligence through a hybrid data processing approach. Our experts identify opportunities and apply AI within industrial best practice data processes to enhance enterprise data management.
AI technology is offered as one of our specialized services, enabling faster processing, improved accuracy, and cost-effective solutions for data transformation projects.
We follow an outside-in perspective to understand and deliver real customer value. Every solution is designed with your business outcomes in mind.
Thinking creatively, adapting to change quickly, acting responsibly, valuing interactions over processes and tools, and maintaining integrity in all we do.
Staying committed to Health, Safety and Environment while never compromising on quality. Excellence and responsibility go hand in hand.
ISO 8000 and ISO 14224 serve as guidelines for our approach to master data standardization and quality strategies, ensuring alignment with industry best practices for data cleansing, coding, and quality conformance.
Our end-to-end enterprise data management solutions are designed to eliminate data-related redundancy, refine data relevance at the user level, enhance quality management, and support insightful decision-making and reporting for your business processes through industry standard practices and AI-driven data cleansing, coding, and standardization processes.
"Empowering easy search with structured data"
Data health assessment or data profiling applies to all master data domains such as Material, Service, Vendor/Supplier and Asset/Equipment master. Our strategies are aligned with ISO recommended data quality framework.
Eliminate duplicate materials, mark obsolete ones, and structure your data with specifications to be easily searchable, enabling streamlined material management for seamless business processes.
Creation of a common service master within the plant provides insights and benefits for both contractual and procurement processes.
Accurate and well-structured equipment information within the CMMS plays a vital role in Plant Maintenance. It helps engineers identify, plan and schedule maintenance activities efficiently.
Creation of vendor master enables easy vendor selection, reduces lead-time, and ensures the purchase of the right materials.
Establishing customer-specific data guidelines/rules for data standardization including customization of taxonomy using UNSPSC and MESC-compliant classification systems.
We adhere to ISO standards to define quality strategies with comprehensive checkpoints used in data quality verification for all master data projects. (Reference: ISO 14224, Section 7)
Quality and consistency are critical when migrating data to another system. We ensure smooth transitions with proper validation and governance processes.
Using AI technology as a hybrid data processing approach. Our experts identify opportunities and apply AI within industrial best practice data processes.
Proven track record of delivering exceptional results with measurable business impact
Machine learning algorithms accelerate data cleansing, deduplication, and enrichment processes by 300%.
20+ years of specialized experience in oil & gas, wind energy, and process industries worldwide.
Average 40% cost reduction, 99% accuracy rates, and ROI delivered within months, not years.
A systematic approach combining industry best practices with cutting-edge technology to deliver reliable and scalable results.
Comprehensive analysis of your current data landscape, identifying gaps, redundancies, and opportunities for optimization.
Develop customized taxonomy, naming conventions, and governance frameworks aligned with ISO standards and your business objectives.
AI-powered deduplication, standardization, and enrichment to achieve 99%+ data accuracy and completeness.
Zero-downtime data migration with seamless ERP integration and cross-system synchronization.
Rigorous testing and validation against ISO 8000 and ISO 14224 standards with comprehensive audit trails.
Ongoing data quality monitoring, governance support, and continuous improvement programs to sustain excellence.
Structured operational framework built on industry best practices ensuring consistent delivery excellence and sustainable outcomes across all engagements
Master Data Cleansing is the process of structuring and standardizing how the data will be managed
Cleansing also provides a method of standardization for abbreviations, a short description and purchase order description generation.
Assigns taxonomy codes for logical grouping and classification of materials and services.
This includes the use of a technical dictionary to provide rules-based classification templates and data requirements.
Duplicate or inaccurate data causes over-purchasing, missed savings, and delays in procurement cycles.
Clean, well-organized data supports faster decision-making and drives operational efficiency across the organization.
Poor data quality leads to increased maintenance costs, compliance risks, and operational inefficiencies that directly impact your bottom line.
Standardized master data enables seamless ERP integration, reduces inventory holding costs, and improves supplier relationship management.
Strategic collaboration with industry-leading AI technology providers
Let's discuss how we can help you achieve data excellence and operational efficiency
Get in TouchGet in touch with our team
D. No. 81/1, Chinniya Reddy Street
Karumalai Koodal, Mettur
PN Patti, Salem district
Tamil Nadu, India – 636402
Officially registered in India
GSTIN: 33CVUPV5487K1ZE