Legacy Data Migration with an Industrial-Grade Data Lake for AgTech

Unified platform reduced data quality issues by 65% and storage costs by 60%, enabling faster insights.

The project by numbers.

65%

Fewer data quality issues

40%

Higher report usage

60%

Lower storage costs

70%

Faster data onboarding

Meet the

business.

A global agri-intelligence company providing data, insights, analytics solutions, supply chain automation, and farm and agronomy services.

Their

challenge.

The client faced major data silos, duplication of efforts, and escalating maintenance costs due to legacy technologies. The infrastructure lacked scalability, struggled with semi-structured and unstructured data, and produced inaccurate reports. Rapid growth and acquisitions further increased data centre costs.

What we

delivered.

Merit's Data Engineering team built a scalable, unified enterprise Data Platform, future-proofing the client’s goal of becoming a Self-Serve Analytics organisation. The solution leveraged an industrial-grade Data Lake and advanced Reporting Analytics to deliver accurate insights and significantly improve decision-making.

Improved Data Quality

Reduced data quality issues by 65% with a unified platform.

Enhanced User Adoption

Increased reporting usage by 40% across the organisation.

Cost Efficiency

Cut storage costs by 60% through efficient data management.

Faster Data Onboarding

Accelerated new source integration by 70%, driving quicker insights.

Ready to discuss

your project?

Whatever the challenge, whatever the industry, our teams work side-by-side with clients to design systems that perform today and evolve for tomorrow. That’s why leading businesses trust us to turn their toughest data ambitions into reality.

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