Multiple legacy systems
Data collection and processing depended on fragmented tools, portals, databases, and operational workflows.
Case Study
AGDATA data collection platform
A unified data integration platform replacing multiple legacy systems, websites, and manual workflows for AGDATA.
Our Client
AGDATA operates across North America and has long been a leading provider of strategic data and analytical solutions for agriculture, crop protection, and animal health companies.
The Challenge
Legacy data collection systems slowed onboarding and made data quality harder to control.
AGDATA was maintaining multiple legacy systems and custom applications to collect, cleanse, and analyse sales, product, and customer data from thousands of sources across the US and Canada. The environment included hundreds of databases, more than 20 web portals, SSIS packages, stored procedures, and custom workflows operated by multiple teams in three geographic locations.
Manual data workflows
Teams had to transform, cleanse, and support incoming data across duplicated processes.
Data quality risk
Redundant and inconsistent data increased operational effort and reduced confidence in downstream analysis.
Slow onboarding
New customer onboarding took weeks, while initial historical file loads could take days.
The Solution
Unified data integration platform
Clever Grapes supported business requirement clarification, software architecture, backend and frontend development, and consistent agile delivery. The result was a single data integration platform replacing existing tools, websites, and processes.
Single integration platform
One platform replaced disconnected tools, web portals, and manual workflows.
Scalable microservices
10+ scalable microservices were hosted on Azure Service Fabric for asynchronous processing.
Parallel processing
Multiple service instances made ingestion, transformation, and processing faster and more efficient.
Cleaner operational data
The platform reduced duplicated cleansing work and improved the reliability of data used for business decisions.
Business Outcomes
File processing time decreased from days to minutes.
Customer onboarding was reduced from weeks to days.
The platform reduced maintenance, support effort, manual extraction, and the work of tying multiple systems together.
"Their high-quality performance stood out."
Jos Vandevelde
VP of Engineering, AGDATANeed similar data platform modernization support?
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