Organize to improve
Data Quality
Data Quality?
Organize to Improve Data Quality
Governance
To fully exploit and utilize the data available, a strategic approach to
data governance at the enterprise level is required.
Manufacturing
Distribution
Retail
Data Governance
The formal designation of
People, across lines of
business, function, and
location, to enable an
organization to leverage
data as an enterprise
asset
Local
Regional
Corporate
Finance
Operations
Marketing
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Organize to Improve Data Quality
Objectives
• Build an enterprise DQ organization that supports the DQ strategy &
processes
• Create a culture of information excellence and an information
management organization structured to yield results
• Establish clearly defined structures, roles and responsibilities for all
position levels
• Establish clear information ownership and accountabilities to
support business objectives
• Establish DQ decision-making guidelines and protocols
• Identify and ensure engagement of key stakeholders in DQ
decision-making process
• Enable people with the right skills to build and manage new
information systems
• Reinforce the concept of collaborative DQ decision & resolution into
the new culture – DQ is everyone’s responsibility
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Organize to Improve Data Quality
DQF DQMS Capability Matrix
Organisational
Capabilities
Plan
Document
Execute
Monitor
© 2012 GS1
Policies & Standards
Business Process
System Capabilities
Executive sponsorship Mission & vision;
Accountable leadership;
Staff roles & skill sets; Data
owners & stakeholders;
Data governance office.
Mission & vision; Goals &
objectives; Guiding principles;
Success measures; Action plans;
Policy & standards management
Initial data entry & setup; Ongoing
data maintenance; Processes
involved in the information's lifecycle
Unified data repository;
Design & architecture;
Workflow, user interface;
Data validations; Security,
access controls;
Revision/change history;
External publication; Internal
publication
Governance organisational
structure; Roles &
responsibilities; Personal
objectives; Reporting
alignment
Mission, goals, principles and
success measures; Governance
model, decision process; Data
definitions & standards; Security &
use policy; Audit procedures;
Documentation standards; Risk
Management; Customer feedback
policy
Operating procedures; Process flow
diagrams; Job aids, work
instructions; Performance metrics
System requirements;
Operating procedures;
Performance metrics
Education & awareness;
Internal communication;
Training
Education & awareness;
Documentation management;
Policies & standards management;
Data issue management Training;
Customer feedback resolution
Education & awareness;
Performance management; Process
issue management; Change
management
*See note on section 2.4.3
Policy & standards review
Workflow controls; System
validations; Performance reporting
on service levels; Performance
reporting on data quality; External &
internal feedback; Process
compliance audits; Product
measurements; Review & reporting
audit results; Monitor impact of
erroneous data
Performance reporting on
service levels
Organisational capability
review; Review of personal
objectives
Organize to Improve Data Quality
Plan – Key Elements
• Organization Model
• Who is accountable and responsible for defining, managing, and
enforcing DQ at an enterprise level.
– Enterprise Structure
– Roles & Responsibilities
– RACI
• multi-level, cross-functional, support to ensure enterprise
alignment.
• Operational Model
• Integrates DQ activities across business and technology
processes
• Provides an enterprise forum to ensure end-to-end impact
assessment of all information management efforts
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Organize to Improve Data Quality
Document – Roles & Responsibilities (Mfg)
• Executive Sponsors
• Joint Business & IT (C-level)
• Vision & Final Authority
• Enterprise Steering Board
• Information Owners
• Strategy Management & Enterprise Alignment
• DQ Review Committee
• Domain Leads
• Decision making – Functional group remediation
• Functional Groups
• Information Stewards
• Execution & compliance monitoring, responsible for data integrity and
quality
• Operations
• Business & IT users, SMEs
• Issue identification
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Organize to Improve Data Quality
Document – Roles & Responsibilities (Mfg)
•
Executive Sponsors
•
•
•
•
•
•
•
•
•
Information Owner
•
•
•
•
•
•
•
•
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Determine Strategy for DQ
Provide guidance for developing Enterprise KPIs for DQ
Approve Data Quality Policy Changes
Provide Enterprise Support
Foster a culture that values information as an enterprise asset
Final word on escalated DQ issues (output)
Allocates funding for Data Quality initiatives
Champions Data Quality to enterprise
Accountable for the management and control of their owned information assets
Define owned information assets and their components (Standards)
Implement information policy in defined functional area
Approve security access for owned information assets.
Specify information control protection requirements
Authorize information access by role: assigns data entry, capture & maintenance
Actively participate on & provide contribution to the Enterprise Steering Board
Identify and report information governance issues on DQ issues log
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Organize to Improve Data Quality
Information Owner
Data Quality Administrator
DQ Analyst
DQ Review Committee
DQ Domain Lead
Information Steward
Information Users/SMEs
© 2012 GS1
DQ Org Structure
C
C
C
C
I
C
C
C
C
C
DQ Technology
Management
DQ Processes
Executive Steering Board
Description
Ultimate authority over the data quality program,
final word on escalated DQ issues.
Review DQ Change requests and arbitrate
information issues that span responsibilities of
multiple information owners and functional groups
DQ Policies
Role
Executive Sponsors
Data Standards
Document – RACI Example
Accountable for the management and control of
their owned information assets
Manages enterprise-wide data quality program
A
I
I
I
C
C
A
A
A
A
Facilitates the implementation of data quality
program
Review DQ change requests and arbitrate data
quality issues that span responsibilities of multiple
business information stewards or domains.
I
R
R
R
R
C
C
C
C
C
Monitor information policy, processes, metrics and
standards compliance in defined domain (product,
vendor, customer)
Responsible for the integrity and quality of
functional information assets. Executes data quality
policy in defined functional area (Fin, Mkt, Log)
C
C
C
C
C
R
I
I
I
I
Consumers of the information and identifiers of DQ
issues
CI
I
I
I
I
R
Responsible for performing the task
A
Accountable has ultimate ownership
and is accountable for making the
business decision or delegating
specific tasks to other teams
C
Consulted for inputs and feedback;
however, agreement or action on
input is not required
I
Informed of the final result, task
completion, and/or deliverable
distribution
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Organize to Improve Data Quality
Execute – Key Elements
• Education & Awareness
• Conduct education programmes to ensure people understand
the concept and principals of data quality, and its impact on the
organization and its clients.
• Internal Communication
• Enterprise communication demonstrating how DQ initiatives
support the organisation’s objectives, mission and vision
• Training
• Provide the necessary technical training to the personnel
involved so they can perform their functions as described in the
documented roles and responsibilities.
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Organize to Improve Data Quality
Monitor – Key Elements
• Capability Review
• Periodic review of the governance structure, process flow, roles
and responsibilities and ongoing training programmes to
evaluate relevance and effectiveness and to identify
opportunities for improvement.
• Personal Objectives
• Monitor the skills and talents required for managing data quality
• Compare performance and competencies of personnel to the
documented target descriptions and goals
• Re-calibrate actions or update goals.
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