Absolutely. Improved data quality will follow directly from analysis and use. However, we have a chicken and egg situation. Review of many HMIS datasets shows that there are significant issues with incompleteness of data and/or implausible data. This discourages users from analyzing and using the data.
I would suggest that data quality review be conducted simultaneously with analysis and use — including at sub-national levels.
Both processes (DQR and analysis) can be largely automated with a data management system like DHIS2. The impact of both processes depends upon active interpretation of the findings by multiple stakeholders — something that can never be automated.
