All data is of equal importance. Data quality management efforts should be spread between all the data in the organization.
An effective team is based on two simple foundations: trust and a common goal.
Data governance program must contribute to the organization by identifying and delivering on specific benefits.
Preparation and pre-processing of historical data needed in a predictive model may be performed in nightly batch processes or in near real-time.