Solving Data Integrity Challenges in DFI-Backed Programmes
Addressing common pitfalls in data collection for foundation- and DFI-funded initiatives using rigorous mixed-methods approaches for baselines and endline evaluations.
Rigorous, science-backed verification is the only acceptable baseline for international development program sponsors.
Yet, many public-sector and DFI-sponsored initiatives suffer from fragmented data gathering that fails audit requirements and limits strategic project pivots.
We present a structured approach to deploying digital monitoring dashboards and integrating local baseline data to ensure transparency, accountability, and seamless institutional compliance.


