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Enhancing Agribusiness Insights system with scalable Predictive analytics and Data Infrastructure

Kynetec partnered with DigitalMara to enhance their data infrastructure and deploy an advanced predictive analytics platform. This solution empowers agribusinesses with forward-looking insights by combining exclusive market data from farmers, machine learning-driven predictions, and external data sources.

About the client

Kynetec, a global leader in data analytics for agriculture

Kynetec is a global leader in agricultural and animal health market research and analytics, operating in over 80 countries. The company provides essential market intelligence, enabling agribusinesses to make informed decisions on crop protection, seed, equipment, and animal health. They integrate farm-level data with advanced analytics to predict market trends and drive sustainable growth.

Challenge

Faced with rapid growth, Kynetec needed to scale its technical team and address infrastructure challenges to support evolving demands. The client’s main goals were: 

  • Enhancing data engineering: Strengthen Big Data capabilities for efficient data gathering, interpretation, and distribution. 
  • Modular interface development: Create reusable interface components adaptable across system modules.
  • Scalable infrastructure: Deploy scalable systems to handle large data volumes while ensuring performance stability. 
  • Visual analytics: Implement Power BI dashboards for actionable insights and data visualization. 

Approach

DigitalMara assembled a dedicated team, including UI/UX designers, Machine Learning engineers, Power BI specialists, and DevOps experts. We have completed the following scope of tasks: 

Platform development with Machine Learning 

  • Delivered predictive analytics to support Kynetec’s data strategy. 
  • Enabled data-driven decisions for agribusinesses by offering long- and short-term predictions for agricultural inputs. 

Infrastructure optimization 

  • Integrated modular Terraform modules for efficient infrastructure management. 
  • Implemented CI/CD pipelines for smooth deployment processes. 
  • Built scalable infrastructure leveraging AWS and Azure for enhanced performance. 

Data collection and processing 

  • Built functionalities for large-scale data collection and advanced processing. 
  • Established smart interpretation systems for seamless data integration across departments. 

Data visualization with Power BI 

  • Designed and deployed interactive Power BI dashboards, providing real-time analytics and actionable insights for business users. 
  • Ensured seamless integration of Power BI with the existing systems to create visually rich reports and facilitate informed decision-making. 

Results

  • Enhanced data management: Improved data engineering and Big Data capabilities, streamlining data gathering, processing, and distribution. 
  • Modular interface components: Delivered flexible components for integration across system modules, ensuring adaptability and scalability. 
  • Scalable and stable infrastructure: Built robust infrastructure capable of handling increased data demands while maintaining stability. 
  • Actionable insights: Deployed Power BI dashboards offering real-time analytics, enabling business users to derive meaningful insights. 

DigitalMara’s expertise and proactive approach led to a long-term partnership, with additional team members onboarded to expand capabilities in Power BI, data engineering, and DevOps. 

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