Patterns of data evolution in time
In Chapter 4, we studied the importance of time management in information systems, and one of the major impacts of time handling is on data. Data handled in MDM systems must be taken into account with the time factor, and we talked abundantly about data history management. But the very act of MDM should also be done according to time.
Data governance
Data governance is the act of establishing functional responsibilities around the management of data referential. Who is responsible for which reference data? Who can manipulate and clean the data? Who decides the evolution of the model? How are impacted teams and applications informed about changes? What business rules should be followed when manipulating the data? When should data be erased or archived? Those all are governance questions and they are always related to time. In particular, the responses have to be reviewed at regular periods, just like business processes, in order for the data...
