<P> Data quality refers to the condition of a set of values of qualitative or quantitative variables . There are many definitions of data quality but data is generally considered high quality if it is `` fit for ( its ) intended uses in operations , decision making and planning '' . Alternatively , data is deemed of high quality if it correctly represents the real - world construct to which it refers . Furthermore , apart from these definitions , as data volume increases , the question of internal data consistency becomes significant , regardless of fitness for use for any particular external purpose . People 's views on data quality can often be in disagreement , even when discussing the same set of data used for the same purpose . Data cleansing may be required in order to ensure data quality . </P>
<P> Data quality refers to the condition of a set of values of qualitative or quantitative variables . There are many definitions of data quality but data is generally considered high quality if it is `` fit for ( its ) intended uses in operations , decision making and planning '' . Alternatively , data is deemed of high quality if it correctly represents the real - world construct to which it refers . Furthermore , apart from these definitions , as data volume increases , the question of internal data consistency becomes significant , regardless of fitness for use for any particular external purpose . People 's views on data quality can often be in disagreement , even when discussing the same set of data used for the same purpose . Data cleansing may be required in order to ensure data quality . </P>
this type of it application control ensures that data is free from errors at the point of collection
this type of it application control ensures that data is free from errors at the point of collection
Data cleansing
Data cleansing