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ETL, Data Quality and Governance

The quality of data defines the precision, completeness and integrity of the data. Organizations require high quality data that they can trust to make critical decisions. Data governance is a series of procedures and processes for standardizing and automating the use and usage of data within an organization; a structure of governance and regulation over the use of data properties. Data governance offers a basis for communication in a common language; Teammates in and across divisions may collaborate using the same language and evaluate the same results. In addition, clarifying functions and responsibilities reduces uncertainty and makes data systems and communication easier to adopt.

As a practice, data governance requires the creation of comprehensive, formal oversight over certain procedures and obligations. This will allow organizations to stay responsive, particularly as they expand to a scale at which it is no longer efficient for individuals to execute cross-functional tasks. Several of the overarching advantages of data management will only be achieved when the organization has developed formal data governance.