Our client needed access to real-time insight into their high-tech indoor farms and controlled growing environments. Goals included leveraging their Microsoft technology stack for improved data governance and usage.
Our team designed and implemented a cloud-based analytics solution to support key business initiatives across multiple departments. We worked alongside stakeholders and subject matter experts to ensure company goal alignment.
Within 90 – 120 days, the work we performed resulted in a clear ROI for our client. With reliable and integrated data, they were able to improve operations & processes, resulting in higher yield and quality crops as well as an increase in packhouse efficiencies.
A publicly traded Agricultural Technology company wanted to improve operations and plan strategically for growth.
An Ag Tech company struggled with slow and inconsistent reporting due to manual data consolidation from multiple siloed systems, leading to delays in critical decision-making. They faced major operational issues due to disconnected data systems, no real-time insights, and a lack of data governance to maintain consistency, accuracy, and compliance across the business. With plans to expand into multiple locations, they needed a solution that was easily scalable.
Our solution utilized modern data architecture and data governance protocols.
To address these challenges, our team designed and implemented a modern data architecture, leveraging their Microsoft technology stack and establishing data governance protocols. We built scalable and dynamic pipelines using Azure Data Factory (V2) to connect and unify data from disparate sources across the organization, including IoT sensors, HRIS systems, ERP, and on-premise databases.
To support real-time insights, we used IoTHub to process streaming data from greenhouse and packhouse sensors. This enabled the generation of near real-time metrics and alerts for faster decision-making in the greenhouse and packhouse, leading to improved quality and production.
To support data governance initiatives, we implemented data lineage tracking, enforced access control, and established standardized data definitions across the entire solution.
Our solution delivered immediate ROI.
The initial project delivered clear ROI within 90 – 120 days, creating trust and momentum for larger investments. The insights generated for the packhouse triggered actions that allowed our client to improve packhouse operations and processes. The data analytics that the solution provided facilitated a timely audit and training process that improved crop quality and yield.
