Data Governance

Table of Contents

Data Governance 2

Data Architecture Management and Data Governance 3

Data Development and Data Governance 4

Data Operations Management and Data Governance 5

Data Security Management and Data Governance 5

Reference & Master Data Management and Data Governance 6

Data Warehousing & Business Intelligence and Data Governance 7

Document & Content Management and Data Governance 7

Meta- data Management and Data Governance 8

Data Quality Management and Data Governance 8

How does this apply to Verizon 10

References 11

Data Governance

As the core function of the Data Management Framework, Data Governance not only interacts with but also influences each of the surrounding ten data management functions. Figure 1 [1] shows a context diagram of Data Governance.

Since business data stewards are the trustees of enterprise data assets and data management professionals are expert custodians of these assets it is important to keep in mind that data management is the responsibility of both of these parties. In data governance, effective data management is dependent on an effective partnership between the data stewards and the data management professionals.

Data governance enables shared responsibilities for decision making while creating and supporting an integrated view of the data. While some decisions might be primarily IT driven with the guidance and input from the business stewards, other decisions might be primarily business driven with guidance and input from the IT professionals. Business stewards might make decisions on some items such as R&D funding, capital investments, information needs and specs. IT professionals might make decisions on some items such as DB architecture, data integration architecture, technical meta- data, and DW/BI architecture.

For data governance to be accomplished it must be an ongoing process with continual improvement. Factors like distinctive organizational and cultural issues and...