Methods, computer readable media, and apparatuses for analyzing data quality are presented. Transaction information may be received from a database, and the transaction information may describe various aspects of a plurality of transactions handled by an organization. Subsequently, a forecast may be calculated based on the transaction information, and the forecast may predict the future value of a metric. An upper control limit and a lower control limit for the metric may be determined based on the transaction information. Thereafter, the latest actual value of the metric may be computed. A normalized quality score for the metric then may be calculated based on the latest actual value of the metric, the forecast, the upper control limit, and the lower control limit. Optionally, a chart may be generated to evaluate data quality for a plurality of metrics, and metrics that exceed a control limit may be added to an issue log.