Controls should be established and implemented across the data flow to assess data against the accuracy, reliability,
completeness and timeliness criteria defined in the data policy and associated standards.
Where data are being sourced from a third party, the enterprise should establish a contractually bound process to gain
confidence over the quality of the data. This could be through an independent validation of data quality controls at the
third party or through having independent checks on any material data received.
Ownership and responsibilities associated with each material data set should
be assigned. Appropriate training should be rolled out to all relevant personnel
to make them aware of their data-related responsibilities. For example, two
roles that could be defined are data producer and data consumer. A data
producer provides data to the data consumer according to predefined quality
requirements. The consumer must define and communicate the expected
quality requirements for the data and validate against them when the data are
received. The roles change as data moves across the data flow.