V O R T U N I X

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Unified Data Architecture for Global Manufacturing Company

What We Achieved In 4 Weeks

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Centralized Data Access

Integrated 8 legacy systems into a unified data warehouse

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Optimized Cloud Storage

Reduced cloud storage cost by 35% using tiered architecture

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Scalable Data Flow

Enabled 5x faster data delivery to analytics & reporting layers

Our Solutions

A global manufacturing company operating across India, Europe, and Southeast Asia faced fragmented data silos across ERP, CRM, and supply chain systems. The legacy systems lacked interoperability, leading to inconsistent reports and high infrastructure costs.
Vortunix was brought in to design and implement an enterprise-grade Data Architecture, enabling centralized, real-time data access across departments.

Here’s what we did:

  1. 1.Architecture Assessment & Blueprint Deployed Power BI dashboards that auto-refreshed every 5 minutes using real-time APIs integrated with Snowflake for route, fuel, and trip analytics.
  2. 2.Modern Data Warehouse Implementation Set up Azure Synapse Analytics with layer-wise modeling (raw → cleansed → curated). Automated ingestion via Azure Data Factory.
  3. 3.Metadata & Catalog Management Deployed Azure Purview for automated metadata discovery, governance tagging, and data lineage visualization.
  4. 4.CI/CD for Data Pipelines Integrated Azure DevOps for automated testing and deployment of new ingestion workflows, ensuring zero downtime during deployment cycles.

The Outcomes

  1. Unified View of Business Data across Sales, Procurement, Production, and Logistics
  2. ~5x Acceleration in analytics delivery time
  3. 35% Reduction in cloud costs via smart partitioning and tiered storage strategy
  4. Data Governance Enabled through Purview tagging and access control
  5. Zero Data Duplication with optimized schema-on-read and write policies
Case Study Illustration

What We Achieved In 4 Weeks

  1. 1.Built Modular Data Architecture: Azure Synapse-based with Data Lake Gen2 for raw & curated zones
  2. 2.Automated Metadata Cataloging: Azure Purview + built-in lineage tracking
  3. 3.Secure & Scalable Pipelines: Azure Data Factory + DevOps-driven deployment
  4. 4. Interoperable Data Model: Supporting Power BI, Tableau, and custom API use