Unifying Product Data Across Global Business Systems
OnPoint Insights worked with a global manufacturer of health and safety equipment to unify product master data scattered across multiple enterprise systems. By consolidating data into a centralized, Azure-based platform, we gave business teams consistent, trusted access to product information across the organization.
The engagement created a single source of truth for product data, improving visibility, governance, and decision-making across marketing, sales, and supply chain teams.
Health & Safety Equipment Manufacturing
13 Weeks
- Master Data Management
- Data Lake Integration
- Azure-Based Data Architecture
- Data Modeling & Medallion Architecture
- ETL Pipeline Orchestration
- Role-Based Access Control
- DevOps Deployment Automation
- Data Validation & Quality Assurance
The Challenge
A leading global manufacturer of protective gear needed to unify product master data across multiple enterprise systems to enable better visibility, governance, and decision-making. The client’s product data was spread across multiple platforms, making it difficult for business teams to access consistent, trusted, and accurate information.
Fragmented Data Across Enterprise Systems
Product data was distributed across systems such as EBS, SAP, Salesforce, and PIM, creating silos and limiting visibility across business functions.
Complex Transformation and Quality Validation
The solution needed to support complex data transformation logic while ensuring strong validation and quality checks throughout the data lifecycle.
Secure Role-Based Access
The client required secure, role-based access across business functions to ensure sensitive product data was only available to authorized users.
Smooth Environment Transitions
The project required consistent and reliable movement of components and artifacts from development to testing and production environments.
Our Solution
OnPoint Insights collaborated with the client to design and implement a centralized master data reporting solution using a robust Azure-based stack.
The solution unified product information across systems, improved data quality, and enabled secure, scalable access for business users.
Developed a web-based tool enabling users to query product data using multiple criteria and retrieve results from across systems in one place.
Consolidated data from various systems into Azure Data Lake, enabling streamlined access and processing.
Employed Azure Databricks to structure data into bronze, silver, and gold layers, ensuring clarity, quality, and reliability.
Conducted structured data validation and collaborated closely with stakeholders to ensure high data accuracy and business alignment.
Built and deployed Azure DevOps pipelines for consistent promotion of ADF components and database artifacts across dev, test, and production environments.
Designed centralized orchestration using Azure Data Factory, with scheduled execution and dependency management for full and incremental loads.
Integrated with Active Directory to ensure secure, role-based access control.
Results & Impact
The solution helped the client establish a trusted product data foundation across global business systems, enabling better reporting, stronger governance, and improved operational efficiency.
Unified Product Insights
Delivered a single source of truth for product data across ERP and operational systems.
High Data Accuracy
Achieved strong data confidence through automated validation and QA processes.
Secure, Role-Based Access
Ensured sensitive product data was accessible only to authorized users.
Scalable ETL Framework
Enabled consistent, reliable data movement and transformation across environments.
Operational Efficiency
Empowered teams to access and trust product data, improving business workflows and reporting.
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