Unifying Product Data Across Global Business Systems
OnPoint Insights worked with a Global Personal Protective Equipment (PPE) Manufacturer optimize their product information data management and reporting functions. By deploying interactive Web application and streamlining data ingestion processes, we improved the client’s ability to compare and rationalize their product attributes across different business applications.
The engagement resulted in improved business process with reporting efficiency and greater alignment between marketing, sales, and supply chain teams using different business applications.
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. Key challenges included:Â
- Fragmented data across systems like EBS, SAP, Salesforce, and Ecommerce application
- Complex transformation and quality validation requirements
- Secure, role-based access across business functions
- Smooth environment transitions from development to production
OnPoint's Solution
OnPoint Insights collaborated with the client to design and implement a centralized master data reporting solution using a robust Azure-based stack. Key solution components included:Â
- Centralized Product Data Access: Developed a web-based tool enabling users to query product data using multiple criteria and retrieve results from across systems in one place.
- Data Lake Integration: Consolidated data from various systems into Azure Data Lake, enabling streamlined access and processing.
- Data Modeling & Medallion Architecture: Employed Azure Databricks to structure data into bronze, silver, and gold layers — ensuring clarity, quality, and reliability.
- Authentication & Authorization: Integrated with Active Directory to ensure secure, role-based access control.
- Pipeline Orchestration & Scheduling: Designed centralized orchestration using Azure Data Factory, with scheduled execution and dependency management for full and incremental loads.
- DevOps for Deployment: Built and deployed Azure Repo & DevOps pipelines for consistent promotion of ADF components, database artifacts & application across dev, test, and production environments.
- Rigorous Validation: Conducted structured data validation and collaborated closely with stakeholders to ensure high data accuracy and business alignment.
The Results:
- Single Source of Truth: The unified data platform eliminated data silos and provided complete visibility across all enterprise systems, enabling faster decision-making and improved data governance.
- Operational Excellence: Automated data pipelines reduced manual effort while achieving reliability, significantly improving team productivity and data confidence.
- Scalable Infrastructure: The Azure-based solution successfully handles current data volumes while providing a robust foundation for future growth and additional data sources.
- Enhanced Collaboration: Shared data visibility improved alignment between marketing, sales, and supply chain teams, resulting in better coordinated business strategies and execution.
Technologies
- WordPress
- HTML
- CSS
- PHP
- Python
- Javascript
WordPress
Php
HTML
CSS
Javascript
Python
Technologies used
- WordPress
- HTML
- CSS
- PHP
- Python
- Javascript
WordPress
Php
HTML
CSS
Javascript
Python
Value Delivered To The Customer
Technologies
Databricks
Delta lake
Azure devops
Azure synapse Analytics
Azure SQL
Microsoft SQL Server
Azure data factory
Java
