A. To share the data across the organization

B. To keep data away from the public

C. To resolve many-to-many relationships

D. To collect as much data as possible into the data repository

E. To keep data for each department separate because no one needs all the data

A. Prevention

B. Governance

C. Criticality

D. Standards Driven

E. All of these

A. Managed outside of the repository and only the results of data quality assessments stored as rules metadata

B. Documented consistently, tied to business impact, backed by data analysis, and accessible to all data consumers

C. Organized with metrics so the data stewards can review the data and see what rules apply

D. Focused on rules that can be integrated into application services

E. Focused on managing relationships that have gone wrong in the past and may go wrong in the future

A. Cultural factor

B. Governance strategy will need to advocate for an operating model that fits with organizational culture, while still progressing change

C. What is their Business Model (decentralized v

D. centralized, local v

E. international, etc.)

F. Impact of regulatio

G. Highly regulated organizations will have a different mindset and operating model of Data Governance than those less regulated

H. All of these

I. Value of the data to the organizatio

J. Is their Data a crucial commodity (do they sell the data)