Most organizations/ projects are faced with the data quality dilemma. Analysis of project data may leave the relevant personnel with reservations regarding the authenticity of the data, the enumerators or even the project impacts. M&E and other management staff may even contemplate the possibility of re-doing the process for the purposes of validation. Here, we take a look at what data quality is, data quality dimensions, causes of poor data and; eventually, ways of improving data quality.
Showing posts with label Data set. Show all posts
Showing posts with label Data set. Show all posts
Friday, 21 June 2013
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