Agency for the Development of the Rice sector in Côte d’Ivoire (ADERIZ) – Ivory Coast

Leveraging Delta Montoring to Enhance the M&E Efficiency of ADERIZ

The Agency for the Development of the RICE Sector in Côte d'Ivoire (ADERIZ), is the new state structure in charge of the rice sector. It was created by the Government during the Council of Ministers on January 10, 2018.
ADERIZ is a State Execution Agency with private administrative and financial management. The new status gives ADERIZ greater flexibility and power to carry out large-scale actions.


The Agency for the Development of the Rice sector in Côte d’Ivoire (ADERIZ) was established to implement the government’s National Rice Development Strategy (SNDR) from 2012 to 2020. However, the agency faced several challenges in monitoring and evaluating its interventions effectively.

ADERIZ needed a Monitoring and Evaluation (M&E) tool that could centralize data, streamline processes, ensure data accuracy, and enable real-time tracking of key performance indicators, all of which are critical for the effective implementation of the SNDR.


In response to these difficulties, ADERIZ implemented Delta Monitoring, a cutting-edge M&E software designed to improve operational efficiency. 

Delta provided an integrated platform for data collection, storage, analysis, and visualization, allowing ADERIZ to keep a close eye on its operations and progress.

Key features of Delta Monitoring that were utilized by ADERIZ included:

  • Real-time data tracking and reporting, enabling the agency to take quick decisions based on accurate, up-to-date information.
  • Centralized data storage and analysis, simplifying the process of tracking progress against the SNDR’s targets.
  • Data visualization tools, facilitating the communication of progress and key results to stakeholders, both within and outside of the agency.


The introduction of Delta Monitoring led to several positive outcomes:

  1. The accuracy of data improved significantly. 
  2. The agency’s operations became more efficient, saving valuable time and resources that could be better utilized elsewhere.
  3. The software provided real-time insights into the progress of the SNDR’s implementation, enabling the agency to quickly identify areas of underperformance and take corrective action. 

This ability to quickly adjust strategies in response to emerging data led to a more effective implementation of the SNDR, contributing to the overall development of the rice sector in Côte d’Ivoire.


Delta Monitoring’s implementation at ADERIZ is a prime example of how the right software solution can drive operational efficiency, strategic decision-making, and ultimately, the effective implementation of a development strategy. 

By overcoming their data management and monitoring challenges with Delta, ADERIZ was better equipped to execute on its mandate, achieving significant strides in the National Rice Development Strategy and contributing meaningfully to the growth of the rice sector in Côte d’Ivoire. 



ADERIZ, tasked with executing Côte d’Ivoire’s National Rice Development Strategy, faced difficulties due to manual data collection and storage methods.

These inefficiencies resulted in errors, delayed decision-making, and hindered progress tracking. 

Consequently, there was a pressing need for an effective M&E tool capable of centralizing and streamlining data, ensuring accuracy, and enabling real-time monitoring of key performance indicators.


ADERIZ adopted the Delta Monitoring M&E software to overcome its operational challenges. The software provided an integrated platform for comprehensive data handling – from collection and storage to analysis and visualization.

Key features utilized by ADERIZ included real-time data tracking and reporting for immediate decision-making, centralized data storage and analysis for simplified progress tracking, and data visualization tools to enhance communication of results to all stakeholders.


Implementing Delta Monitoring yielded significant improvements. The software enhanced data accuracy, reduced potential for errors, and optimized operational efficiency, saving both time and resources.

Additionally, it offered real-time insights into the SNDR’s progress, enabling prompt identification of underperforming areas and allowing for swift corrective action. 

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