Data Governance Principles PDF
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This presentation details data governance principles, its components, and its importance in business and technology roles. It covers data governance as a management capability and its relation to data quality and metadata management.
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GROUP 3 DATA GOVERNANCE PRINCIPLES Members DAQUIGAN TRISHA ANN F. GIMOTO, RAYMART LACORTE JOHN VINCENT ORENSE,ERIEL D. DATA GOVERNANCE PRINCIPLES DATA GOVERNANCE PRINCIPLES Data Governance is less technical than any other management capability. It is...
GROUP 3 DATA GOVERNANCE PRINCIPLES Members DAQUIGAN TRISHA ANN F. GIMOTO, RAYMART LACORTE JOHN VINCENT ORENSE,ERIEL D. DATA GOVERNANCE PRINCIPLES DATA GOVERNANCE PRINCIPLES Data Governance is less technical than any other management capability. It is about the organization, standardization, policies. Data Governance is closely related to Data Quality and Metadata Management. Моппопор Establish process 10 trach audit and report compliance with data Standards and policies are Data Standards Data clearly defined ard puhlisbed Owneritap Establoty Clearly defined roles and responsibilities for daca DG Council Establish leademtup to drive the adopoon and compliance to Sponsorstap Provide overall leadership anst sponsorship to all data governance Change Coqurol Establ change cotrol process to evaluate, approve and communicate changes to data standards and Exocutive Support Epate thac executives from entire organization are involved and aligned with DG inmatives WHAT IS DATA GOVERNANCE ? Data Governance(DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an organization. Data Governance includes a governing body (often called council), a defined set of standards and policies, and a plan to execute those standards and policies. DATA GOVERNANCE Business Sponsor ORGANIZATION Provides overall leadership and sponsorship to all data governance efforts. Data Governance DATA GOVERNANCE ORGANIZATION Provides consistency and coordination for cross INVOLVES A MULTI-TIERED functional initiatives, while maintaining an COMBINATION OF BUSINESS AND enterprise perspective and strategic approach on data quality Council. TECHNOLOGY ROLES. Data Owners, Stewards, Custodians, Architects Proposes and operationalizes standards, policies and procedures. DATA GOVERNANCE ➤ IdentifyData Governanc e PROCESS Program Executive Sponsor ➤ Establish Data Governanc e Entablem DG Organicane Council ➤ Engage bey Data Define Data Staodanh ➤Governance program mal Palicies Stakeholders(Data owners Stewards Entorce Mara Standards and Polian ➤ Define data standards ➤ Define data policies Audit Mix and Control ➤Enforce data strands And policies across the organization ➤ Metadata management tools in DATA GOVERNANCE addition to Data Quality tools are often used for Data Governance TECHNOLOGY SUPPORT implementation. There are very few tools on the market that are claimed as data governance specific. -Data Governance Tool ➤ Important component of Data Governance is workflow feature, that -Terms Glossaries, Data Assets can be used to implement data standards and policies. -Workflow -Dashboard 1. Data Governance is about data standards and policies that manages availability, usability, integrity, and security of the data employed in an DATA GOVERNANCE KEY 2.Data Governance is less technical than other data TAKEWAYS management capabilities 3. Key components of data governance organization are: Sponsor, Data Governance Council and Stakeholders (Data Owners, Stewards, Custodians and Architects). 4. Data Governance process includes activities as follows: Establish DG Organization, Define and Enforce Data Standard and Policies, and Audit, Monitor and Control of DG activities 5.Metadata Management and Data Quality tools are often used for implementing data governance. There are very few data governance specific tools on the market. THAT'S ALL THANK YOU