procurement
Local Consultancy Firm to support Development of Biodiversity Finance Plans
UNDPprocurementRFP - Request for proposal
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Full Description
Contact: Procurement Unit -procurement.sz@undp.org
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Introduction
SCOPE OF TENDER
The purpose of this assignment is to recruit a qualified consulting firm to provide end‑to‑end technical and operational support for the BER, specifically focusing on:
• Collection of biodiversity-related expenditure data across public, private, NGO, and donor institutions.
• Recruitment, training, supervision, and coordination of data enumerators who will support field-level data extraction.
• Administration of payments and logistical support for data miners embedded within institutions.
• Cleaning, structuring, tagging, and analyzing expenditure data using the BIOFIN methodology
The consulting firm will perform, at minimum, the following tasks:
Data Collection
• Map, identify, and engage all institutions expected to contribute biodiversity-related expenditure data - Conduct targeted stakeholder mapping to identify all relevant public, private, NGO, and parastatal institutions that generate biodiversity‑related expenditures. Engage them through formal communication and brief consultations to clarify data needs and secure cooperation.
• Develop standardized data collection templates aligned with the BIOFIN Finance Taxonomy - Prepare clear, user‑friendly templates that distinguish direct and indirect biodiversity expenditures and incorporate attribution coefficients, ensuring compatibility with BIOFIN’s global classification system.
• Conduct primary and secondary data collection through multiple methods - Gather expenditure information from budgets, financial statements, project documents, and institutional systems. Where data gaps exist, conduct follow‑up interviews or site visits to validate and complete the information.
• Maintain a secure and systematic data repository - Establish a well‑organized digital folder system with proper version control and backups to store all collected data and supporting documentation.
• Ensure completeness, accuracy, and traceability of all expenditure sources - Apply quality checks, cross‑verify information across multiple documents, and document all data‑cleaning decisions to maintain transparency and alignment with BIOFIN methodology
Recruitment and Management of Data Enumerators
• Develop job descriptions and recruitment criteria for Manage transparent recruitment processes, including interviews and contracting.
• • Conduct training for enumerators on:
• • The BIOFIN BER methodology
• Expenditure tagging
• Institutional engagement protocols
• Quality assurance procedures
• Supervise enumerators during data collection and ensure adherence to the sampling frame and institutional coverage required by BIOFIN
Payment and Logistical Management of Data Miners
Many institutions may require temporary data miners or embedded personnel to extract biodiversity‑related expenditure information from financial systems that are complex, decentralized, or poorly structured. These institutions often store data across multiple platforms, such as legacy accounting systems, manual registers, departmental databases, or project‑level spreadsheets, which makes it difficult to retrieve complete expenditure information without dedicated support.
To address this, the firm will deploy trained data miners who will work directly within institutions to navigate internal systems, locate relevant financial records, extract supporting documentation, and validate expenditure entries with finance and programme staff. Their role is essential for ensuring that all biodiversity‑related expenditures, particularly indirect or cross‑cutting budget lines, are accurately identified, captured, and verified to meet BIOFIN methodological standards. The firm will:
• Identify institutions requiring embedded data miners.
• Contract, deploy, and supervise these data miners.
• Manage stipends/payments, transport, communication, and any required ICT tools.
• Ensure that the work of data miners complies with agreed data quality standards.
• Maintain transparent documentation of all expenses (with supporting documents) for audit purposes
Data Cleaning, Structuring, Tagging and Analysis
• Clean all collected datasets, addressing gaps, inconsistencies, duplications, and missing fields.
• Tag all expenditures in line with the BIOFIN Finance Taxonomy (direct, indirect, harmful subsidies, etc.).
• Apply relevance scoring and attribution coefficients following BIOFIN Workbook guidance.
• Consolidate all data into a complete national BER dataset broken down by: Institution, Sector, Funding source, Programme/project, and Thematic area (NBSAP/GBF targets).
• Conduct quantitative analysis including:
• • Annual trends
• Institutional spending patterns
• Comparisons against GDP and budget allocations
• Identification of financing gaps and inefficiencies
• Conduct qualitative analysis on institutional mandates, financing governance, and alignment with biodiversity objectives
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[UNDP OFFICE ESWATINI
PROCUREMENT UNIT]
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