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Data accuracy and completeness are essential for decision-making and aid delivery in humanitarian crises. However, delays can cause more suffering or death.

 

Organisations can:

 

1. Prioritise the most important data: Determine the data points needed for an effective response and collect accurate and complete information for those first. This speeds decision-making without compromising response integrity.

 

2. Take a phased approach: Start with a rapid assessment to gather high-level, timely information for immediate action. As more accurate and complete data becomes available, refine and improve the response with more in-depth assessments.

 

3. Use remote sensing, mobile data collection, and crowdsourcing to quickly gather data. Share data with local partners, NGOs, and stakeholders to improve response quality and speed.

 

Example:

 

An organisation may have to balance data accuracy, completeness, and speed during a natural disaster like an earthquake. The organisation could use satellite imagery and social media reports to quickly assess the most affected areas and prioritise resource deployment. The organisation could also work with local partners to assess damage, affected people, and their needs.

 

The organisation could incorporate field team feedback and update its assessments to improve data collection and understanding as the response progresses. This iterative approach lets the company make timely decisions while ensuring data accuracy and completeness.