Agriculture Sector
From Farm Data to Policy and Market Action
Agriculture generates critical data across production, inputs, yields, markets, and livelihoods, yet much of it is collected manually and underutilized. Inconsistent farmer records, delayed reporting, and limited analytics hinder productivity, climate resilience, and market access.
Dataque Analytics modernizes agricultural data systems by automating data collection, integration, and validation across value chains. We establish governance frameworks for farmer registries, program data, and supply chains, ensuring data quality and ownership. Using analytics and BI, we generate insights on crop performance, seasonal trends, farmer income, and program outcomes.
Our research and policy advocacy work translates agricultural data into evidence for policy formulation, investment planning, and climate-smart interventions.
Example: A donor-funded agriculture program can use automated dashboards to monitor yield and income changes across regions, enabling adaptive management and evidence-based reporting.
Successful projects and clients across the continent
Completed project
Clients
Impactful metrics
Beneficiaries
Our delivery model is anchored in agile and iterative project management, allowing continuous client collaboration, rapid feedback, and incremental delivery of high-quality outputs. This ensures flexibility, responsiveness to emerging priorities, and long-term system adoption.