GREEN EMPLOYMENT IN AGRICULTURE PROGRAMME (GEAP) PROGRAMME DATA AUDIT 68 views0 applications

TERMS OF REFERENCE (ToR)

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GREEN EMPLOYMENT IN AGRICULTURE PROGRAMME (GEAP)

PROGRAMME DATA AUDIT

1.0 Background Information about MESPT

Micro-Enterprises Support Programme Trust (MESPT) is a Kenyan development organization established in 2002. MESPT’s overall objective is to promote economic growth, employment creation and poverty alleviation through enterprise development. This is achieved predominantly through support to the development of agricultural value chains whilst embracing and promoting the green growth and climate change agenda. Through its vision of building a more Prosperous Society, MESPT facilitates increased commercialization, decent employment, and green transformation through targeted interventions in the selected value chains. The Trust is a multi-donor entity jointly founded by the Government of Kenya and the European Union who later relinquished their position to the Royal Danish Embassy in Kenya, Ministry of Foreign Affairs of Denmark (DANIDA).

1.2 Programme Background

The Green Employment in Agriculture Programme (GEAP); is a DANIDA funded programme whose main objective is to accelerate decent employment creation in MSMEs and improved competitiveness of targeted value chains in agriculture, which contribute, to transforming the economy towards greener and more inclusive growth. The programme interventions are being implemented in 4 output areas namely: – 1) Market access and MSME development, 2) improved access to green and Agri-financing, 3) Improved food safety and increased agricultural productivity and 4) Green transformation. Under these output areas, MESPT activities will contribute towards i) increased farmer and MSME capacity for aggregation, storage, value addition and market Linkages ii) increased awareness and access for financial services for the value chain actors iii) enhanced knowledge & competences on food safety and good agricultural practices (GAP) and iv) increased awareness and commercialization of identified innovative green technologies.

1. Programme geographical coverage and target beneficiaries/ key partners

The programme is being implemented in 12 counties namely Makueni, Machakos, Kilifi, Kwale, Nyandarua, Nakuru, Trans Nzoia, Uasin Gishu, Bungoma, Kakamega, Siaya and Kisii. Across the 12 counties, the programme is facilitating a total 11 value chains with an average of 2-3 value chains per county. Programme target beneficiaries and key partners include: – Smallholder farmers organized in Farmers producers’ groups/ cooperatives, Agri-enterprises, business service providers, Green Technologies providers, financial institutions (FIs), County and National Government relevant line ministries, Regulatory/competent Authorities and other relevant stakeholders as per their engagement in the target value chains in respective counties.

2.0 The overall objective for undertaking Data Audit Exercise

The overall objective of conducting a data audit for GEAP is to assess the quality of data collected, effectiveness of the data collection and management systems as well as adequacy MEAL policies and procedures against the programme data and reporting requirements. Ultimately the audit process will seek to identify gaps and inefficiencies in the data collection and management processes, policies and procedures. It will also provide actionable recommendations on areas for improvement both in the data management processes, policies and procedures as well as measurement and reporting of programme performance for enhanced reliability and accuracy of the programme data in line with programme requirements and sector best practices.

Specific objectives

1. To assess the quality of the data collected by GEAP, focusing on accuracy, consistency, completeness, timeliness, and reliability.
2. To evaluate the data collection systems, processes and tools currently in use for their effectiveness, efficiency, and suitability for the program’s data and reporting needs.
3. To assess the adequacy of MEAL policy and procedures governing the data quality management processes, including the roles and responsibilities of personnel involved in data collection, data analysis and data management.
4. To identify any gaps, issues, or inconsistencies in the data management processes, policy, procedures tools and techniques.
5. To provide actionable recommendations for improving data management processes, policies and procedures including potential upgrades to systems, tool, techniques and practices.
6. To propose strategies for better data governance, including roles and responsibilities, data protection, and regular data quality assessments.

3.0 Scope of Data Audit Exercise

The data audit will be conducted through the following steps: –

• Review all relevant documents, including MEAL Policy and procedure manual, programme databases, data collection and management systems, programme reports and tools.
• Conduct interviews and in-depth discussion with key stakeholders, to gather insights and feedback on the data management processes, policies and procedures and usability of the data.
• Analyse the collected data to assess its quality i.e. accuracy, completeness, consistency and reliability.
• Evaluate the data collection and management systems and tools through reviews and user feedback.
• Undertake comparative Analysis to benchmark the programme’s data management practices, system, MEAL policy and procedures against industry standards and best practices.
• Compile a comprehensive audit report on the findings, practical recommendations and action plan on areas of improvement.

4.0 Data Audit Methodology

The consultant will develop a suitable methodology for the assignment that will ensure that the objectives are achieved through a consultative and participatory manner. It is expected that the consultant will adopt a hybrid approach that will involve desk review, interviews with GEAP teams and key stakeholders as well as field visits and comparative analysis for benchmarking against industry standards and best practices.

5.0 Expected Deliverables

The key deliverables of the data audit will include: –

• Inception Report: A report detailing the audit plan, including methodology, timeline, and any preliminary findings.
• Data Quality Assessment Report: A detailed report on the quality of the data collected, including any identified gaps or issues.
• Evaluation of Systems and Tools Report: An analysis of the data collection systems and tools in use, with recommendations for improvement.
• Final Audit Report: A comprehensive report that includes all findings, analyses, and actionable recommendations.
• Presentation of Findings: A presentation to the management and stakeholders summarizing the key findings and recommendations.

7.0 Duration of the Assignment

The assignment will begin with an inception meeting and conclude with a debriefing meeting with the programme management team. In overall the exercise is expected to take a maximum 20 working days from the date of signing the contract spread over 2 months. The breakdown is stipulated in the table below: –

8.0 Administration and logistical arrangements

The consultant will report to MEAL Manager and will work closely with GEAP Team. The data audit will be carried out with logistical support and services of contracted consultant.

9.0 Qualifications and competencies of the Consultant

The consultant should have diverse mix of qualifications. This include but not limited to: –

• An advanced university degree in applied statistics, data science, data Analytics, Big Data and Business Analytics, economics, Monitoring & Evaluation, information system management, or other social sciences with a focus on data management.
• At least 7 years of professional experience in conducting data audits, data quality assessments and data management systems for development programme handling large datasets.
• Professional certifications in data auditing, data governance, or related fields (e.g., Certified Information Systems Auditor (CISA), Certified Data Management Professional (CDMP) will be an added advantage.
• Proven experience and expertise in monitoring and evaluation frameworks, qualitative and quantitative research methods, data collection methodologies, tools and system.
• Proficiency in data analysis software.
• Knowledge and expertise in data protection laws, ethical data handling practices, and relevant data governance frameworks.
• Knowledge and experience of the DANIDA funded programme will be an added advantage.
• Strong analytical and problem-solving skills with great attention to detail and accuracy.
• Excellent communication, presentation and report writing skills.
• Demonstrated ability to work independently and collaborate effectively with cross-functional teams.