Data Quality Assessment


Data Completeness and Usefulness

A key process during the data modeling phase of analytical reporting solution is to ensure that the data being modeled is accurate, complete and useful for the purposes of developing actionable strategic, tactical and operational intelligence. During the data modeling phase, we analyze the data stores and flows so to compile meaningful data quality information.

As a result of the data quality assessment, there is a complete understanding of how data flows and associated among other data stores in the model. Based on the data quality confidence level, procedures will be implemented to improve the confidence to acceptable levels before the analytical solution proceeds to the next phase of dimension and metric development.