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©2012 DAMA International – All Rights Reserved
DAMA-DMBOK2 Framework
Patricia Cupoli Editor Susan Earley Production Editor Deborah Henderson Program Director
April 23, 2012
DAMA-DMBOK2 Framework
April 23, 2012 1 © 2012 DAMA International – All Rights Reserved
Table of Contents 1
2
3
1.1. About This Document .......................................................................................................... 2 4
1.2. Revision History .................................................................................................................. 4 5
2. What is the DAMA-DMBOK? ................................................................................................... 5 6
3. Introduction to DAMA-DMBOK2 ............................................................................................. 5 7
3.1. Why a Framework Outline? ................................................................................................. 5 8
3.2. History.................................................................................................................................. 6 9
3.3. Purpose ................................................................................................................................. 6 10
3.4. Goals .................................................................................................................................... 7 11
3.5. Audience .............................................................................................................................. 7 12
3.6. Potential Uses....................................................................................................................... 7 13
4. Proposed Framework .................................................................................................................. 8 14
4.1. Knowledge Areas ................................................................................................................. 8 15
4.2. Knowledge Area-Related Processes, Activities and Elements .......................................... 10 16
4.2.1. Context Diagrams ........................................................................................................... 10 17
4.2.2. Activity Groups ............................................................................................................... 11 18
4.2.3. Environmental Elements ................................................................................................. 12 19
5. DAMA-DMBOK2 Structure .................................................................................................... 14 20
5.1. DAMA-DMBOK2 Book Outline ...................................................................................... 14 21
5.2. Knowledge Area Chapter Structure ................................................................................... 19 22
6. Concordance between DAMA DMBOK Editions .................................................................... 21 23
7. Next Steps ................................................................................................................................. 22 24
25
Table of Figures 26
Figure 1. The DAMA-DMBOK2 Knowledge Area Wheel ............................................................ 9 27
Figure 2. Context Diagram Example ............................................................................................ 11 28
Figure 3. Environmental Elements ............................................................................................... 13 29
Figure 4. Environmental Elements – Scope Summary ................................................................. 13 30
Figure 5. Knowledge Area Chapter Outline ................................................................................. 21 31
32
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1.1. About This Document 33
34
This document describes the DAMA-DMBOK2 Framework published by DAMA International to 35
help formalize the best practices of our profession. 36
37
Deborah Henderson 38
DAMA-DMBOK2 Director 39
President, DAMA Foundation 40
Past VP Education Services, DAMA International 41
42
Patricia Cupoli 43
DAMA-DMBOK2 Editor 44
DAMA-ICCP Director 45
Past President: DAMA International, Chicago and Philadelphia Chapters 46
47
Susan Earley 48
DAMA-DMBOK2 Production Editor 49
DAMA Dictionary Editor 50
51
DAMA-DMBOK2 Framework
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DAMA-DMBOK2 Project Committee Members 52
53
Patricia Cupoli 54
Editor 55
56
Susan Earley 57
Production Editor 58
59
Deborah Henderson 60
Program Director 61
62
Lisa Pazzano 63
Communications and Marketing Manager 64
65
Sanjay Shirude 66
DAMA International VP Education 67
68
Eva Smith 69
Project Infrastructure Manager 70
71
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1.2. Revision History 72
73
Version Date Author Description
.1 November 10, 2010
Susan Earley Restructured functions from 10 to 14, corrected meta data to meta-data
.2 November 10, 2010
Robert Abate, Susan Earley
Revisions to Functional Wheel Scope and associated text.
.3 October 2011 Patricia Cupoli Revisions to document organization and new sections written
.4 October 2011 Deborah Henderson
General Revisions
.5 October 2011 Susan Earley General Revisions, merge multiple versions
.6 November 2011 Patricia Cupoli Comments to resolve between multiple versions and added LinkedIn comments
.7 November 2011 Susan Earley New context diagram and text updates, reordering of sections
8 November 18 2011 Deborah Henderson
General revisions
9 December 6, 2011 Susan Earley Further refinement of document structure, new images, moved all references to changes from DMBOK 1 to end, added tables to show differences between this framework and DAMA DMBOK 1
st
edition.
10 December 30, 2011 – January 3, 2012
Patricia Cupoli Edited document, added revised context diagram, removed tables to be used in actual DMBOK.
11 March 4 2012 Deborah Henderson
Grammar, obvious errors, enhanced, questions re ”methods”, roles, regulations, owners, diagrams and expanded some content outline . Added governance to each KA
12 March 9, 2012 Susan Earley Revised diagrams.
13 March 20-22, 2012 Patricia Cupoli Revised Section 5.2, expanded/corrected wording, added comments for discussion. Deleted Section 4.2 and last paragraph in Section 7.
14 March 24-25, 2012 DAMA-DMBOK2 Project Committee
Revisions done within Google Docs and transferred to this version.
15 April 23, 2012 Patricia Cupoli Removed NEIMS – too USA centric
74 75
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2. What is the DAMA-DMBOK? 76
77
DAMA International’s Data Management Body of Knowledge (DAMA-DMBOK) is a collection of 78
processes and knowledge areas that are generally accepted as best practices within the Data 79
Management discipline. Data Management is an overarching term that describes the processes 80
used to plan, specify, enable, create and acquire, maintain and use, archive and retrieve, 81
control, and purge data. These processes overlap and interact within each data management 82
knowledge area (see section 4.1) 83
84
Data Management is vital to every organization. Whether known as Data Management, Data 85
Resource Management, or Enterprise Information Management, organizations increasingly 86
recognize that the data they possess is a valuable asset. Like any valuable asset, they also 87
recognize their data assets must be managed. Businesses, governments, and other 88
organizations are more effective when they leverage their data assets. Data Management is the 89
process of effectively controlling and leveraging data assets. 90
91
Data Management is a maturing discipline. Data Management concepts and supporting 92
technology have evolved quickly over the last thirty years, and continue to evolve. 93
94
Creating a formal, certified, recognized, and respected data management discipline is not an 95
easy task. The current environment can be a confusing combination of terms, methods, tools, 96
opinion, and hype. To mature this discipline, DAMA’s Data Management Body of Knowledge 97
(DMBOK) provides concepts towards the standardization of 98
99
Activities, processes, and best practices 100
Roles and responsibilities 101
Deliverables and metrics, and 102
A maturity model 103
104
Standardization will help data management professionals perform more effectively. Executives 105
in particular need to understand and assign value to data management activities, so they can 106
fully support, fund, and staff the data management function. Moreover standardization will 107
also help us communicate with our teammates, managers, and executives, and ubiquitous use 108
will harden Data Management into a formal discipline around the world. 109 110
3. Introduction to DAMA-DMBOK2 111
3.1. Why a Framework Outline? 112
The DAMA-DMBOK2 Framework Outline described here exists to provide the proposed 113
structure and outline of content for organizing the second edition of the Data Management 114
Body of Knowledge (DAMA-DMBOK2) document. In order to ensure the work is an accurate 115
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reflection of the profession it is essential to gain community consensus for the Framework that 116
becomes the foundation of the document. 117
3.2. History 118
The DAMA Data Management Body of Knowledge (DAMA-DMBOK) has undergone an evolution 119
over the years. It began as the Guidelines for Implementing Data Resource Management in 120
1991. This publication was published by DAMA International in various forms through four 121
versions in collaboration with DAMA Chicago. 122
123
DAMA International published The DAMA Guide to the Data Management Body of Knowledge 124
(DAMA-DMBOK Guide, 1st edition) in 2009. DAMA-DMBOK was in development for several 125
years as a complete overhaul of the earlier Guidelines. A Framework ‘white paper’ was written 126
and floated to the data management community for comment and input, and became the basis 127
for the first publication. Full DAMA-DMBOK text development proceeded with input from 128
contributing authors, the DAMA-DMBOK editors, DAMA-DMBOK Editorial Board, and over 120 129
DAMA member reviewers. 130
131
In preparation for the 2nd edition, input on existing and proposed content has been collected 132
from DAMA chapter members and Enterprise Data World conference sessions. 133
134
The DAMA Dictionary of Data Management is now in its 2nd edition and was published in April 135
2011 containing almost 2000 terms, including terms from the DAMA Certified Data 136
Management Professional (CDMP) exams managed by the Institute for the Certification of 137
Computing Professionals (ICCP). It is aligned to the terms in the DAMA-DMBOK and is the 138
glossary for the DAMA-DMBOK. 139
3.3. Purpose 140
The 2nd edition of the DAMA-DMBOK (DAMA-DMBOK2) will continue the 1st edition philosophy 141
of offering DAMA standardization of Data Management guidelines, characteristics and active 142
practices. It will cover the WHAT, WHO and WHY of Data Management and its various 143
knowledge areas. It will be modeled after other professional organizations’ Bodies of 144
Knowledge (BOKs) such as PMI’s PMBOK (Project Management BOK), and IEEE’s SWEBOK 145
(Software Engineering BOK). 146
147
The entire body of knowledge about data management is quite large and constantly growing. 148
The DAMA-DMBOK is a guide that is intended to provide a definitive introduction that body of 149
knowledge. It presents a standard industry view of data management knowledge areas, 150
terminology, and common best practices, without going into implementation details. The 151
DAMA DMBOK Guide introduces alternative views and industry accepted approaches where 152
clear differences of opinion exist. 153
154
The DAMA-DMBOK Guide should not be read as an attempt to be a complete authority on any 155
specific data management knowledge area. Instead, it points readers to widely recognized 156
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publications, articles, and other resources for further reading on the HOW-TO methods and 157
implementation details. DAMA also encourages communities of practice discussions on the 158
topics presented. 159
3.4. Goals 160
The goals of the DAMA-DMBOK2 Guide are: 161
1. To build consensus for a generally applicable view of data management knowledge areas. 162
2. To provide standard definitions for commonly used data management knowledge areas, 163
deliverables, roles and, other terminology, in conjunction with the DAMA Dictionary of Data 164
Management and thus to move the Data Management Community towards standardization 165
on concepts and activities. 166
3. To identify guiding principles for data management. 167
4. To clarify the scope and boundaries of data management activities. 168
5. To overview commonly accepted good practices, widely adopted techniques, and significant 169
alternative approaches, without reference to specific technology vendors or their products. 170
6. To briefly identify common organizational and cultural issues. 171
7. To identify strategies for data management maturity analysis. 172
8. To guide readers to additional resources for further understanding. 173
3.5. Audience 174
The audiences for DAMA-DMBOK2 will be similar to the audiences for the 1st edition. The 175
audiences for the DAMA-DMBOK are quite varied and include: 176
Certified and aspiring data management professionals. 177
Other IT professionals working with data management professionals. 178
Business data stewards at all levels. 179
Executives with an interest in managing data as an enterprise asset. 180
Knowledge workers developing an appreciation of data as an enterprise asset. 181
Consultants conducting assessments of client data management areas and helping to 182
implement and improve data management at these clients. 183
Educators responsible for developing and delivering a data management curriculum. 184
Researchers in the field of data management. 185
186
3.6. Potential Uses 187
DAMA foresees several potential uses of the DAMA-DMBOK2 Guide, including: 188
Informing a diverse audience about the nature and importance of data management. 189
Helping build consensus within the data management community. 190
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Helping data stewards, data owners, and data professionals understand their 191
responsibilities. 192
Providing the basis for assessments of data management effectiveness and maturity. 193
Guiding efforts to implement and improve data management knowledge areas. 194
Pointing readers to additional sources of knowledge about data management. 195
Educating students, new hires, practitioners and executives on data management 196
knowledge areas 197
Guiding the development and delivery of data management curriculum content for higher 198
education. 199
Suggesting areas of further research in the field of data management. 200
Helping data management professionals prepare for Certified Data Management 201
Professional (CDMP) data exams. 202
Assisting organizations in defining their enterprise data strategy. 203
4. Proposed Framework 204
4.1. Knowledge Areas 205
In the 1st edition of the DAMA-DMBOK, Data Management was described as a function that is 206
also known as a high level business process or the name of the program. This process was 207
captured in 10 functions and associated activities. 208
209
In the DAMA-DMBOK2 we are emphasizing ‘knowledge areas’ rather than ‘functions’. A 210
knowledge area is a category of specialization. It could be made up of one or more topics, 211
which will be handled in separate sections. 212
213
There are 11 knowledge areas that cover the core areas in DAMA-DMBOK2 that DAMA 214
International considers important for those performing data management. Each knowledge 215
area has many section topics logically grouping activities that are required to be performed. In 216
addition, there are supporting section topics that round out the knowledge requirements for 217
data management professionals in additional chapters. 218
219
Based on received input, the DAMA-DMBOK2 will use this revised Data Management 220
knowledge area wheel (Figure 1): 221
222
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223 Figure 1. The DAMA-DMBOK2 Knowledge Area Wheel 224
The 11 Data Management Knowledge Areas are: 225
226
Data Governance – planning, oversight, and control over data management and use of data 227
Data Architecture – as an integral part of the enterprise architecture 228
Data Modeling and Design – analysis, design, building, testing, deployment and 229
maintenance 230
Data Storage – structured physical data assets storage management 231
Data Security– ensuring privacy, confidentiality and appropriate access 232
Data Integration and Interoperability – data acquisition, transformation and movement; 233
managing ETL, federation, or virtualization 234
Documents and Content – storing, protecting, indexing, and enabling access to data found 235
in unstructured sources (electronic files and physical records), and making this data 236
available for integration and interoperability with structured (database) data. 237
Reference & Master Data – managing gold versions and replicas 238
Data Warehousing and Business Intelligence – managing analytical data processing and 239
enabling access to decision support data for reporting and analysis 240
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Meta-data – integrating, controlling and delivering meta-data 241
Data Quality – defining, monitoring and improving data quality 242
243
4.2. Knowledge Area-Related Processes, Activities and Elements 244
245
DAMA-DMBOK2 expands the ‘environmental elements’ (section 4.2.3).. The first edition was 246
more concerned with outlining the functions. This edition will ‘close the loop’. These elements 247
along with the context diagram and activity groups describe the data management processes 248
and activities that are involved in a knowledge area. 249
250
4.2.1. Context Diagrams 251
Each knowledge area has a context diagram that outlines and frames the scope of that area’s 252
topic. The diagram format is more tailored to describing the processes in terms of inputs 253
(documents and plans), outputs (documents and products), business drivers (goals, regulations, 254
and standards), tools and techniques The roles in a context diagram will take on RACI 255
(Responsible, Approver/Accountability, Consult and Inform) responsibilities depending on 256
activities. 257
258
Goals will be reworded to be SMART (Specific, Measurable, Achievable/Attainable, Realistic, 259
and Timely), and matched to metrics. Regulations and Industry Standards will be moved from 260
Inputs into new categories. Metrics will be enhanced. 261
262
The Participants section is split into Responsible Roles (responsible for performing an activity) 263
and Stakeholder Roles (consulted or informed by in a Process). Primary Deliverables are 264
renamed Deliverables, as they were not listed with any contrasting Secondary Deliverables. 265
266
Finally, the level of detail on the diagrams will be kept to a very high level, consistent with an 267
overview, and consistent across knowledge areas. The text will provide more detail. 268
269
Each context diagram includes: 270
271
Definition: The definition of the Knowledge Area. 272
Goals: The goals of the Knowledge Area within this Topic. 273
Process: The list of discrete activities and sub-activities, with activity group indicators 274
(see below). 275
Regulations: Commonly required classes of government laws, regulations, reporting 276
requirements, and standards that definitely affect this Knowledge Area and Related 277
Sections. 278
Industry Standards: Commonly recognized classes of standards that should / could affect 279
this Knowledge Area and Related Sections. 280
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Inputs: What documents or raw materials are directly necessary for a Process to initiate 281
or continue? 282
Supplier Roles: Roles and/or teams that supply the Inputs to the Process. 283
Responsible Roles: Roles and/or teams that perform the Process. 284
Stakeholder Roles: Roles and/or teams Informed or Consulted on the Process. 285
Tools: Technology types used by the Process to perform the Function. 286
Deliverables: What is directly produced by the Processes? 287
Consumer Roles: Roles and/or teams that expect and receive the Deliverables. 288
Metrics: Measurements of how to quantify the success of Processes based on the Goals 289
290
This diagram is an example of what the context diagram for a knowledge area would contain. If 291
appropriate, a sub-topic section of a knowledge area may have its own context diagram for 292
clarity. 293
294
295 Figure 2. Context Diagram Example 296
4.2.2. Activity Groups 297
In the center of each context diagram, there is a box listing the processes for that knowledge 298
area and topic. 299
300
Each process has activities classified as belonging to one of four Activity Groups: 301
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Planning Activities (P) High level or supervisory activities that set the strategic 302
and tactical course for other data management activities. 303
Planning activities may be performed on an iterative basis. 304
Control Activities (C) Oversight activities performed on an on-going basis. 305
Development Activities (D) Activities undertaken within projects and recognized as 306
part of the systems development lifecycle (SDLC), creating 307
data deliverables through analysis, design, building, 308
testing, and deployment, performed on an iterative basis. 309
Operational Activities (O) Service and support and maintenance activities performed 310
on an on-going basis. 311
312
Below is an overview of the work profile for our four Activities Groups 313
314
Iterative On-going
Oversight Planning (P) Control (C)
Attention to Detail Development (D) Operational (O)
315
4.2.3. Environmental Elements 316
The seven Environmental Elements provide a logical and consistent way to describe each 317
knowledge area. 318
319
The Elements provide a structure for: 320
Consistent presentation in each DAMA-DMBOK2 chapter. 321
Organizing assessment questions, findings and recommendations. 322
Guiding strategic planning for each knowledge area. 323
324
The Framework identifies the following seven elements in DAMA-DMBOK2 consistent with 325
DAMA-DMBOK version 1. Each Element now has an additional type descriptor; People, Process, 326
or Technology 327
328
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329 330 Figure 3. Environmental Elements 331
332 Figure 4. Environmental Elements – Scope Summary 333
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334
Environment Elements relate to the Knowledge Area Context Diagrams and Activity Groups in 335
the following way: 336
337
Environment Elements Knowledge Area Context Diagrams
Activity Groups
Definition
Goals & Principles Goals Planning
Activity Activity Activity Indicators or Classifications
Deliverables Inputs & Outputs, Documents, Software Products
All activities
Roles & Responsibilities Supplier Role Responsible Role Consumer Role Stakeholder Role Approver Role Accountable Role
All activities
Practices & Techniques Techniques & Metrics All activities
Organization & Culture All activities
338
5. DAMA-DMBOK2 Structure 339
5.1. DAMA-DMBOK2 Book Outline 340
341
The proposed outline is as follows below. Examples are provided to clarify the content of the 342
chapter sections; however, they are not necessarily inclusive. 343
344
Foreword 345
346
Preface 347
348
Acknowledgements 349
350
Chapter 1: Introduction 351
BOK Framework overview 352
Vision Statement 353
Scope of BOK – what has changed since DMBOK1 354
Overlap/Interface with other BOKs and standards frameworks (like ANSI) 355
356
357
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Chapter 2: Use of the DMBOK 358
Case Studies 359
Communicating DM value to the business 360
Data as an asset 361
Placing value on data 362
363
Chapter 3: Overall Process: Data Management 364
Data vs. Information 365
Core Concepts : 366
o Knowledge Area overview 367
o Environmental Elements overview 368
Knowledge Areas and Value 369
370
The core Knowledge Areas follow. Here are the general outlines for each chapter. 371
372
Chapter 4: Knowledge Area: Data Governance 373
Section 1 = Data Governance 374
Data Governance - as oversight for all data management, moving towards a unified 375
theory of data management strategy and control (also within chapters as a focus for 376
each knowledge area) 377
Context: Relationship to Information Governance, IT Governance, IT Service 378
Management, Business Management, PMO, Business Operations 379
Data valuation ROI 380
Data governance and Government Sector 381
Section 2 = Overall Data Management Maturity Model (also within chapters for each 382
knowledge area) 383
Maturity benchmarking 384
Maturity development (targets and activities) 385
Section 3 = Data Stewardship and Ownership 386
Section 4 = Business Cultural Development (SDLC incorporation in various 387
methodologies such as waterfall and agile change management inclusion, 388
communication challenges, Section 5 = Contracting. Service level agreements, 389
outsourcing Data in a Cloud 390
Section 5 = Ethics 391
392
Chapter 5: Knowledge Area: Data Architecture 393
Section 1 = Enterprise Data Architecture 394
Frameworks: Zachman Framework for Enterprise Architecture, others 395
Working within Enterprise Architecture (Information vs. Infrastructure, Business, 396
and Application, specialized architectures (e.g., network)) 397
Section 2 = Data Architecture Implementation 398
Enterprise architecture models vs. project architecture models 399
Data in the Cloud 400
Linked data architecture 401
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Semantic data architecture (Resource Description Framework (RDF), 402
dereferenced data) 403
Data as a Service SEE DII 404
Big Data architecture 405
Web data architecture (aka information architecture) 406
Specific architectures for knowledge areas are included in those knowledge areas. 407
Data Architecture Governance: 408
Standard data architectures, compliance through project execution 409
410
Chapter 6: Knowledge Area: Data Modeling & Design 411
Section 1 = Modeling Overview 412
Relational 413
Object 414
DW modeling (star, snowflake, outrigger) 415
Canonical 416
Semantic modeling and Resource Description Framework (RDF) 417
Master Data modeling - SEE Reference and Master Data 418
Section 2 = Conceptual/Logical Modeling 419
Data requirements analysis 420
New and Existing model analysis and integration 421
Data Profiling as it relates to validation of logical models (interrogation and 422
verification of the data behavior) Logical modeling Requirements 423
Normalization Discussion (1st, -6th, other) 424
Modeling techniques for model expansion 425
Industry standard models 426
427
Section 3 = Physical Modeling 428
Physical DB restrictions discussion 429
De-normalization Discussion 430
Data Vault Overview (modeling, hub, link, satellite) 431
Non-normalized-Storage Modeling Discussion 432
Historical Data Retention Designs, including partitioning 433
Distributed designs 434
ER and Object modeling 435
Big Data 436
Columnar DB modeling 437
Semi-structured modeling 438
Issues in: 439
Views or model? 440
Indexing (map reduce approach, traditional OLTP, hash) leading edge 441
discussions here on retrieval issues and solutions 442
Referential integrity enforcement 443
Data Modeling and Design Governance: 444
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Documenting the Model (including versioning, lineage) and its use as a data 445
governance tool 446
Best practices in Naming conventions 447
448
Chapter 7: Knowledge Area: Data Storage 449
Section 1 = DBMS applications [RDBMS, triple store, federation/cloud], transaction vs. 450
bulk load support, backup/recovery, monitoring/tuning, purge/archive, row-451
based vs. column-based, configuration management 452
Virtualization (cloud) 453
Object / multi-media database 454
DBMS monitoring, including mobile monitoring, bots. 455
Section 2 = File storage systems (Hadoop) (big data), No SQL 456
Data Storage Governance: Enterprise demands in service management for data storage 457
458
Chapter 8: Knowledge Area: Data Security 459
Section 1 = Security Requirement Categories (HIPPA, PCI, PII, SOX PIPEDA) 460
Section 2 = Security Management (AAA) 461
Internet security, costs of data breaches (monetary and otherwise) 462
Section 3 = Privacy 463
Data Security Governance = working with Risk Management, Legal, Security breach 464
response, access to information (government), Identity management 465
466
Chapter 9: Knowledge Area: Data Integration and Interoperability (DII) 467
Section 1 = Approaches: integration or interoperate? 468
Mergers and acquisitions 469
Drivers for DII 470
Data.gov, Open Data (government published data) 471
Standards 472
Architectures 473
o Data as a Service 474
o Batch 475
o Near real time, trickle 476
o Real time 477
Section 2 = Data acquisition (get data in) 478
Buying / selling data, contracting 479
Integrating 3rd party data 480
Section 3 = Data movement/services (move data around), 481
Data integration (combine data for use), 482
Approaches to structured / unstructured data integration / issues 483
Data transformation (change data in place or in combination with above activity) 484
Section 4 = Data interoperability (use separate data together with OR without 485
integration) 486
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Data Integration and Interoperability Governance = redundancy control, security, 487
lineage, value chain (impact analysis), data sharing agreements, quality and 488
recombination 489
490
Chapter 10: Knowledge Area: Document and Content 491
Section 1 = Common activities regardless of document type 492
Architecture 493
Data as evidence 494
Data retention 495
Confidentiality including data marking 496
Section 2 = Content Management (classification, taxonomies, tagging, indexing,) 497
Section 3 = Physical Documents (Printed documents/records) 498
Section 4 = Electronic Documents 499
Documents/records 500
Images/Audio/Video 501
Document and Content Governance = working with Risk Management, Legal, Security 502
breach response, access to information (government), service management 503
504
Chapter 11: Knowledge Area: Reference and Master Data 505
Section 1 = Common activities regardless of data type 506
Architecture 507
Administration approaches / compliance 508
System of record / Data of record (gold data) 509
Section 2 = Reference Data (including GIS (base spatial data, solids models –CAD, 510
temporal data, purchased data such as Bloomberg, Post Office,) 511
GIS business reference data (enterprise specific GIS reference data (where and 512
what company assets are)) 513
Section 3 = Master Data 514
Business rules 515
Data sources 516
Reference and Master Data Governance = Determining systems/data of record, 517
determining and managing business rules 518
519
Chapter 12: Knowledge Area: Data Warehousing & Business Intelligence 520
Section 1 = back-office specialization, Kimball vs. Inmon, , real-time, near-real-time, data 521
discovery (not modeling, but inventory, classification and assessment) and 522
database inventory (what data is stored where and at what level).Note: 523
ETL(Extract Transform and Load) is covered in Data Integration and 524
Interoperability. 525
Section 2 = front-office specialization, Business Intelligence & Analytics - Analytics, 526
visualization, delivery, (including GIS, Storyboarding, ‘See also’ suggestions, 527
Dynamic search, autosuggest, sticky notes, and personalization, mashups, big 528
data analytics) 529
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Data Warehousing & Business Intelligence Governance = Reporting Strategy, 530
Appropriate use of and interpretation of data, data architecture compliance, 531
training and BICC (Business Intelligence Competency Centre) 532
533
Chapter 13: Knowledge Area: Meta-data 534
Architecture 535
Section 1 = Semantics and metadata identification, types 536
Multilingual environments 537
Section 2 = Metadata solutions: Business glossary, Repository Architecture, collection 538
and maintenance 539
Meta-data Governance = Standard data definition (models, glossary, value chain, master 540
data, gold data source, owner, and stewards) 541
542
Chapter 14: Knowledge Area: Data Quality 543
Section 1 = Measuring and Monitoring 544
Defining quality, Impacts of low quality 545
Section 2 = Data Profiling, data correction 546
Data Quality Governance = Ensuring data quality (process engineering, rules, ownership 547
and compliance) 548
549
Chapter 15: DM Supporting Topics 550
Section 1 = Professional Development (certification, facilitation) 551
Section 2 = Business Data Requirement Development (how to get good data 552
requirements) and deliverable verification to requirements 553
Section 3 = Communicating Data Management value to the business 554
Section 4 = Data management cost control 555
Section 5 = The Data Management organization 556
Section 6 = Facilitation 557
558
Appendix 559
1. Primary Contributing Authors (by chapter or section) 560
2. Contributing Reviewers and Commenters 561
3. Context Diagram contents by context area consolidations 562
4. Chart relating DMBOK 1st edition to DMBOK 2nd edition (Concordance) 563
5. Bibliography 564
5.2. Knowledge Area Chapter Structure 565
566
Each knowledge area will have a chapter in the DAMA-DMBOK Guide that may contain multiple 567
sections. The extent of each discussion will vary by chapter and section, as appropriate to the 568
topics and environmental elements involved. At the end of each chapter will be a section on 569
Governance for that knowledge area. The proposed chapter structure for a knowledge area 570
may look like this: 571
572
DAMA-DMBOK2 Framework
April 23, 2012 © 2012 DAMA International – All Rights Reserved
20
1. Introduction/Knowledge Area Definition 573
2. Description of Sections/Topics 574
3. Section N 575
a. Executive Summary/Context Diagram 576
b. Essential Concepts, Common Vocabulary, and Popular Frameworks 577
c. Business Drivers 578
i. Goals & Principles 579
ii. Government Regulations 580
iii. Industry Standards 581
d. Processes 582
i. Activities 583
e. Inputs and Outputs 584
i. Inputs 585
ii. Outputs 586
f. Technical Drivers 587
i. Toolsets 588
ii. Techniques 589
g. People 590
i. Overall Organization and Culture 591
ii. Roles & Responsibilities 592
1. Supplier Roles 593
a. Internal 594
b. External 595
2. Responsible Roles 596
a. Internal 597
b. External 598
3. Consumer Roles 599
a. Internal 600
b. External 601
4. Stakeholder Roles 602
a. Internal 603
b. External 604
h. Inter- Section Relationships/Interfaces 605
i. Implementation Guidelines 606
i. Topic Readiness Assessment / Risk Assessment 607
ii. Organization and Cultural Change 608
1. Process Change 609
2. Communication/Training 610
3. Transition 611
4. Maintenance 612
iii. Top mistakes to avoid 613
j. Conclusion/Summary 614
i. Looking Forward/Trends 615
k. Reference Citations/Additional Reading 616
DAMA-DMBOK2 Framework
April 23, 2012 © 2012 DAMA International – All Rights Reserved
21
4. Section N+1 617
5. Knowledge Area Governance 618
i. Knowledge Area Maturity Model Overview, Metrics 619
ii. Knowledge Area Value Chain / Business Value 620
621
622
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624
625
626
627
628
629
630
631
632
633
634 635
636 637
Figure 5. Knowledge Area Chapter Outline 638
639
6. Concordance between DAMA DMBOK Editions 640
641
Many of the concepts are similar between the editions and are covered in this section. These 642
concepts include: 643
644
Context diagrams 645
Environmental elements 646
Activity groups and classifications 647
648
The DAMA-DMBOK2 will contain some different concepts than the 1st edition and these 649
concepts are covered in section 4 of this Framework. 650
651
They include, in summary: 652
653
Revised DAMA-DMBOK knowledge area wheel to include eleven knowledge areas with 654
the addition of Data Integration and Interoperability 655
A re-ordering of the knowledge area wheel so that Data and Content Management is 656
introduced earlier in the lifecycle of the wheel (as read clockwise) 657
Section A
Section B
Section N
• Introduction/Knowledge Area Definition
• Description of Sections/Topics
• Knowledge Area Governance
DAMA-DMBOK2 Framework
April 23, 2012 © 2012 DAMA International – All Rights Reserved
22
An emphasis on knowledge areas (rather than functions) that will contain multiple 658
subjects 659
A re-structured format for each chapter, including re-formatted context diagrams 660
An emphasis on data governance as a unifying oversight mechanism in data 661
management 662
663
A table describing the areas of similarities and differences between editions will be included in 664
the DAMA-DMBOK2 as an appendix. 665
7. Next Steps 666
667
This Framework proposes an outline and structure for DAMA-DMBOK2. It will be made 668
available for a period of time to DAMA members for comment, and then to the general public. 669
670
The comments will be compiled and be available via www.dama.org. The final Framework will 671
be provided to the primary contributing authors as a guideline for development of their 672
knowledge area or section, and to all reviewers so they can comment within expected content 673
parameters. The editors are responsible for the final DAMA-DMBOK2 presentation and content. 674
675
676