“ A S A D A T A
M A N A G E M E N T
P R O F E S S I O N A L ,
Y O U A R E F A C I N G A
C H A L L E N G E : T H E R E
A R E P L E N T Y O F
D I F F E R E N T
R E F E R E N C E
G U I D E S ,
S T A N D A R D S A N D
M O D E L S , B U T T H E Y
A R E N O T I N
A G R E E M E N T W I T H
E A C H O T H E R . ”
V E R Y C O M M O N Q U E S T I O N S A R E :
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F o r t h e
a n a l y s i s o f D M
m o d e l s , w e
w i l l t a k e 3
i n d u s t r y
r e f e r e n c e
g u i d e s :
D A M A -
D M B O K 2 ,
D C A M , T O G A F
9 . 1 a n d 6
m a t u r i t y
m o d e l s * .

T h a n k s i n a d v a n c e f o r l e a v i n g y o u r f e e d b a c k
o n o u r L i n k e d I n p a g e o r o u r w e b s i t e .

D O W E , D M
P R O F E S S I O N A L S ,
H A V E A N A L I G N E D
D E F I N I T I O N A N D
U N D E R S T A N D I N G O F
D A T A M A N A G E M E N T
A N D I T S S C O P E ?

b y D A M A I n t e r n a t i o n a l b y E D M C o u n c i l

Data
management
Enterprise
perspective
Data
management
professionals
perspective
B R O A D P E R S P E C T I V E :
N A R R O W P E R S P E C T I V E :

M E T A M O D E L O F
D A T A
M A N A G E M E N T
T H E
K E Y H I G H L E V E L
D A T A M A N A G E M E N T
C A P A B I L I T I E S

W E H A V E
C R E A T E D A
F R A M E W O R K
4 K E Y C O M P O N E N T S

Key components
to compare
ISO 8000-62
Process-5
G E N E R A L I N F O R M AT I O N

Maturity
levels
15
16
17 18
19
20
Data Quality
ISO 8000-6221
Process
M AT U R I T Y L E V E L S

Key components to
compare
22 23 24
25 26
27
28 29
Sub-domains
2.Data architecture
3.Data modeling & design
4.Data storage and
operations
5.Data security
6.Data Integration &
Interoperability
7.Document & Content
management
8.Reference & Master
data
9.DHW&BI
10.Metadata
11.Data Quality
2.Data Management
Business Case
3.Data Management
Program
4.Data Governance
5.Data Architecture
6.Technology
Architecture
7.Data Quality
8.Data Control
Environment
2.Data Governance
3.Data Quality
4.Data Operations
5.Platform and
Architecture
6.Measurement and
Analysis
7.Process Management
8.Process Quality
Assurance
9.Risk Management
10.Configuration
Management
1.Data Architecture
2.Classification and
Metadata
3.Audit Information
Logging and Reporting
Core disciplines
4.Data Quality
Management
5.Information Life-cycle
Management
6.Information Security
and Privacy
Enablers
7.Organizational
Structure and Awareness
8.Policy
9.Stewardship
Outcomes
10.Data Risk
Management and
Compliance
11.Value Creation
1.Awareness
2.Formalization
3.Metadata
Project
4.Stewardship
5.Data Quality
6.Master Data
2.Strategy
3.Metrics
4.Information
Governance
5.Organizations and
Roles
6.Information Life Cycle
7.Enabling Infrastructure
for data management
2.Storage and Retention
Arrangements
3.Media Library
Management System
4.Disposal
5.Backup and Restoration
6.Security Requirements
for Data Management
2.Data Related Support:
2.1.Data Architecture
management
2.2.Data Transfer
Management
2.3.Data Operations
Management
2.4.Data Security
Management
3.Resource provision
3.1.Data Quality
Organization
Management
3.2.Human Resource
Management
2.Tools
3.Standards
4.People and resources
2.Policies
3.Capabilities
K E Y D O M A I N S , S U B - D O M A I N S A N D
D I M E N S I O N S

A N E W , R E V O L U T I O N A R Y I N T E G R A T E D M O D E L F O R D A T A
M A N A G E M E N T

ORANGE MODEL

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‘ O R A N G E ’
M O D E L
B R A N D N E W

U N C O N T R O L L E
D
P L A Y F U L
T O D D L E R
Y O U R
A D - H O C
C R E A T I V E
C H I L D
I N
D E V E L O P M E N T
C U R I O U S
T E E N A G E R
C A P A B L E
A M B I T I O U S
A D U L T
E F F E C T I V E
W I S E S E N I O R
C I T I Z E N

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