Bodmando staff have strong experiences in the design and implementation of data quality audits.  We have established data quality management systems and protocols that allow the collection of high-quality, reliable and valid data. We use a combination of methods ranging from spot checks, back checks, high frequency checks to technological approaches. We use data quality auditing tools to assess a programmes’ ability to report high-quality data and we re-work them to improve data management and reporting systems. This ensures that availability of reliable, valid and accurate data for sound evidence for decision-making.