Modern Data Lakehouse

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A Global Manufacturing Leader Powering Brands Through Innovation

A global packaging and label manufacturing leader delivering innovative, sustainable, and customized solutions across industries. The organization empowers brands with smart technologies, digital printing, eco-friendly practices, and a commitment to continuous transformation.

98%

Improvement in data accuracy, with near-zero reporting errors.

40%

Faster SLA compliance for operational reporting and order processing.

65%

Reduction in manual data handling, resulting in measurable cost savings.

100%

Visibility into processes through comprehensive logging and automated monitoring.

Legacy Data Management: Delays, Errors, and Limited Visibility

The client’s on-premises data warehouse created operational inefficiencies, making decision-making and reporting difficult.

Manual, error-prone data

Processes that slowed operations

Long processing windows

Impacting report accuracy & timeliness.

Complex onboarding cycles

For new business units & systems.

Inconsistent fact/dimension handling

Mismatches across reports.

Fragmented data pipelines

Making cross-functional reporting difficult.

Limited transparency

Into pipeline failures & data quality issues.

A Unified Azure-Based Data Lakehouse Built for Scale

We built a scalable Data Lakehouse using Azure Synapse Analytics, establishing a modern, standardized data foundation across business units:

Created dedicated data marts

For each business area with clearly defined staging and target layers.

Core data warehouse principles

Applied for structured modeling and reliable data management.

Implemented a standardized data model

To improve accuracy, consistency, and cross-system alignment.

Enabled faster and seamless onboarding

Of new data sources and entities.

Established automated alerting and validation

To ensure data accuracy and timely loads.

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Modernizing Enterprise Data: The Power of a Scalable Data Lakehouse

We helped a global manufacturing leader reinvent their data ecosystem by transforming a fragmented on-premises warehouse into a modern, scalable Azure Data Lakehouse.