Data governance (DG) involves the management of data availability, usability, integrity, and security within an organization, including roles, procedures, and implementation plans. A data governance program includes various stakeholders responsible for data quality, ownership, and management processes. It contrasts with data protection and records management, focusing on improving and protecting data to align with business strategies.

1. Key Concepts in
Data Governance

2. What is Data Governance?

3. Data governance (DG) refers to the overall management
of the availability, usability, integrity, and security of the
data employed in an enterprise. A sound data
governance program includes a governing body or
council, a defined set of procedures, and a plan to
execute those procedures.
Data Governance is the cross-functional discipline of
managing, improving, monitoring, maintaining, and
protecting data
What Is Data Governance?

4. Proactively managing your data, to support your business
achieve its strategy and vision
What Is Data Governance?

5. What It Is Not
Data Protection
Records
Management
Data
Retention
Big Brother

9. Data Policy
Describes the approach to managing data quality i.e. what
will be done
Data Governance Operating Model
Describes how the Data Policy will be implemented
An internal control system that consists of roles,
responsibilities, processes and systems that together
ensure that data is appropriate, complete and accurate
Data Policy and Operating Model

10. Roles and responsibilities
Data Quality Standards
Data Quality Dimensions
Processes
Scope
What Should a Data Policy Cover?

12. Data Quality reporting
Data Quality issue management
Master Data Management Processes:
Agreeing ownership of attributes
Data definitions
Defining attributes
Amending attributes
Retiring attributes
Updating the Data Governance Framework
Processes

14. Roles and Responsibilities
14
Data
Governance
Manager
Responsible
for DG
framework
Data
Owners
Accountable
for the Data
Quality of a
data set/(s) Data
Producers
Responsible
for
creating/capturi
ng data
according to
the data
consumers
requirements
Data
Custodians
Responsible
for
maintaining
the data on
IT systems in
accordance
with business
requirements
Data
Stewards
Responsible
for the Data
Quality of a
data set/(s)
Data
Consumers
Responsible
for defining
what makes
the data they
use good
enough

15. Chief Data Officer

16. Questions

17. Email: nicola@nicolaaskham.com
Website and blog: www.nicolaaskham.com
LinkedIn: http://uk.linkedin.com/in/nicolaaskham
Twitter: @nicola_askham and @TheDataGovCoach
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