Modernizing Manufacturing: Data Platforms Built for Precision

We teamed up with a global labeling leader to give their legacy data platform a modern makeover—making onboarding smoother, cutting down on manual effort, and boosting data quality across core business functions.

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Global Reach, Sustainable Innovation: A Leader in Next-Gen Labeling Solutions
A global manufacturer and trailblazer in sustainable labeling, this client specializes in pressure-sensitive labels, shrink sleeves, and packaging. Operating across continents, they support industries like FMCG, healthcare, and personal care with innovative, high-performance solutions.
Data-Driven Results: Modernization that Delivers
Our platform overhaul led to measurable wins across the board:
30%
Better data consistency and reliability.
25%
Drop in data errors, making reconciliation and reporting easier.
50%
Faster and more accurate data loads, speeding up reports and onboarding.
Legacy Bottlenecks: Manual Processes Hampered Data Accuracy and Onboarding
Their old on-premises data warehouse was holding them back. Here’s what they were up against:
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1
Manual data management
Slowed things down and led to delayed updates.
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2
Onboarding complexity
Getting new entities and systems integrated was tough.
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3
Inconsistent standards
No consistent process for handling dimensions and facts.
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4
Error-prone reporting
Data mismatches made it hard to trust reports and insights.
Platform Reimagined: Scalable, Standardized, Azure-Powered Architecture
We rolled out a modern data platform using Azure Synapse Analytics, grounded in solid warehousing principles and fine-tuned for business impact:
Domain-specific data marts
Cleanly separated staging and target zones for different business areas.
Standardized data model
Unified setup for facts and dimensions.
Improved data quality processes
Rules-based checks and reconciliations.
Faster entity onboarding
A flexible framework that made it easy to bring new systems online.
Accurate data loads
Smarter load routines that cut down on errors.
Automated alerts
Built-in monitoring to catch issues early.
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Tech Stack
Azure Data Factory
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