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The DAMA guide to the data management body of knowledge : (DAMA-DMBOK guide)

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CONTENTS:
1.Introduction
1.1.Data: An Enterprise Asset
1.2.Data, Information, Knowledge
1.3.The Data Lifecycle
1.4.The Data Management Function
1.5.A Shared Responsibility
1.6.A Broad Scope
1.7.An Emerging Profession
1.8.A Growing Body of Knowledge
1.9.DAMA-The Data Management Association
1.10.Purpose of the DAMA-DMBOK Guide
1.11.Goals of the DAMA-DMBOK Guide
1.12.Audiences of the DAMA-DMBOK Guide
1.13.Using the DAMA-DMBOK Guide
1.14.Other BOK Guides
1.15.The DAMA Dictionary of Data Management
1.16.The DAMA-DMBOK Functional Framework
1.17.Structure of the DAMA-DMBOK Guide
1.18.Recurring Themes

2.Data Management Overview
2.1.Introduction
2.2.Mission and Goals
2.3.Guiding Principles
2.4.Functions and Activities
2.4.1.Data Management Activities
2.4.2.Activity Groups
2.5.Context Diagram Overview
2.5.1.Suppliers
2.5.2.Inputs
2.5.3.Participants
2.5.4.Tools
2.5.5.Primary Deliverables
2.5.6.Consumers
2.5.7.Metrics
2.6.Roles
2.6.1.Types of Organizations
2.6.2.Types of Individual Roles
2.7.Technology
2.7.1.Software Product Classes
2.7.2.Specialized Hardware
2.8.Recommended Reading

3.Data Governance
3.1.Introduction
3.2.Concepts and Activities
3.2.1.Data Governance
3.2.2.Data Stewardship
3.2.3.Data Governance and Stewardship Organizations
3.2.4.Data Management Services Organizations
3.2.5.The Data Management Executive
3.2.6.The Data Governance Office
3.3.Data Governance Activities
3.3.1.Data Strategy
3.3.2.Data Policies
3.3.3.Data Architecture
3.3.4.Data Standards and Procedures
3.3.5.Regulatory Compliance
3.3.6.Issue Management
3.3.7.Data Management Projects
3.3.8.Data Management Services
3.3.9.Data Asset Valuation
3.3.10.Communication and Promotion
3.3.11.Related Governance Frameworks
3.4.Summary
3.4.1.Guiding Principles
3.4.2.Process Summary
3.4.3.Organizational and Cultural Issues
3.5.Recommended Reading
3.5.1.Websites
3.5.2.Prominent Books
3.5.3.Regulatory and Compliance Books
3.5.4.General Books

4.Data Architecture Management
4.1.Introduction
4.2.Concepts and Activities
4.2.1.Architecture Overview
4.2.2.Activities
4.3.Summary
4.3.1.Guiding Principles
4.3.2.Process Summary
4.3.3.Organizational and Cultural Issues
4.4.Recommended Reading
4.4.1.Books
4.4.2.Articles and Websites

5.Data Development
5.1.Introduction
5.2.Concepts and Activities
5.2.1.System Development Lifecycle (SDLC)
5.2.2.Styles of Data Modeling
5.2.3.Data Modeling, Analysis, and Solution Design
5.2.4.Detailed Data Design
5.2.5.Data Model and Design Quality Management
5.2.6.Data Implementation
5.3.Summary
5.3.1.Guiding Principles
5.3.2.Data Development Process Summary
5.3.3.Organizational and Cultural Issues
5.4.Recommended Reading
5.4.1.Data Modeling and Database Design
5.4.2.Business Rules
5.4.3.Information Engineering
5.4.4.Agile Development
5.4.5.Object Orientation and Object-Oriented Design
5.4.6.Service-oriented architecture (SOA)
5.4.7.SQL
5.4.8.Software Process Improvement
5.4.9.XML

6.Data Operations Management
6.1.Introduction
6.2.Concepts and Activities
6.2.1.Database Support
6.2.2.Data Technology Management
6.3.Summary
6.3.1.Guiding Principles
6.3.2.Process Summary
6.3.3.Organizational and Cultural Issues
6.4.Recommended Reading
7.Data Security Management
7.1.Introduction
7.2.Concepts and Activities
7.2.1.Understand Data Security Needs and Regulatory Requirements
7.2.2.Define Data Security Policy
7.2.3.Define Data Security Standards
7.2.4.Define Data Security Controls and Procedures
7.2.5.Manage Users, Passwords, and Group Membership
7.2.6.Manage Data Access Views and Permissions
7.2.7.Monitor User Authentication and Access Behavior
7.2.8.Classify Information Confidentially
7.2.9.Audit Data Security
7.3.Data Security in an Outsourced World
7.4.Summary
7.4.1.Guiding Principles
7.4.2.Process Summary
7.4.3.Organizational and Cultural Issues
7.5.Recommended Reading
7.5.1.Texts and Articles
7.5.2.Major Privacy and Security Regulations

8.Reference and Master Data Management
8.1.Introduction
8.2.Concepts and Activities
8.2.1.Reference Data
8.2.2.Master Data
8.2.3.Understand Reference and Master Data Integration Needs
8.2.4.Identify Reference and Master Data Sources and Contributors
8.2.5.Define and Maintain the Data integration Architecture
8.2.6.Implement Reference and Master Data Management Solutions
8.2.7.Define and Maintain Match Rules
8.2.8.Establish Golden Records
8.2.9.Define and Maintain Hierarchies and Affiliations
8.2.10.Plan and Implement Integration of New Data Sources
8.2.11.Replicate and Distribute Reference and Master Data
8.2.12.Manage Changes to Reference and Master Data
8.3.Summary
8.3.1.Guiding Principles
8.3.2.Process Summary
8.3.3.Organizational and Cultural Considerations
8.4.Recommended Reading

9.Data Warehousing and Business Intelligence Management
9.1.Introduction
9.2.Concepts and Activities
9.2.1.Data Warehousing-A Brief Retrospective and Historical Tour
9.2.2.DW / BI Architecture and Components
9.2.3.Tactical, Strategic and Operational BI
9.2.4.Types of Data Warehousing
9.2.5.Dimensional Data Modeling Concepts and Terminology
9.3.DW-BIM Activities
9.3.1.Understand Business Intelligence Information Needs
9.3.2.Define and Maintain the DW-BI Architecture
9.3.3.Implement Data Warehouses and Data Marts
9.3.4.Implement Business Intelligence Tools and User Interfaces
9.3.5.Process Data for Business Intelligence
9.3.6.Monitor and Tune Data Warehousing Processes
9.3.7.Monitor and Tune BI Activity and Performance
9.4.Summary
9.4.1.Guiding Principles
9.4.2.Process Summary
9.4.3.Organizational and Cultural Issues
9.5.Recommended Reading
9.5.1.Data Warehousing
9.5.2.Business Intelligence
9.5.3.Data Mining
9.5.4.OLAP

10.Document and Content Management
10.1.Introduction
10.2.Concepts and Activities
10.2.1.Unstructured Data
10.2.2.Document / Record Management
10.2.3.Content Management
10.3.Summary
10.3.1.Guiding Principles
10.3.2.Process Summary
10.3.3.Organizational and Cultural Issues
10.4.Recommended Reading
10.4.1.Document / Content Management
10.4.2.Records Management
10.4.3.Enterprise Information Portals
10.4.4.Meta-data in Library Science
10.4.5.Semantics in XML Documents
10.4.6.Unstructured Data and Business Intelligence
10.4.7.Standards
10.4.8.E-Discovery

11.Meta-data Management
11.1.Introduction
11.2.Concepts and Activities
11.2.1.Meta-data Definition
11.2.2.Meta-data History 1990 - 2008
11.2.3.Meta-data Strategy
11.2.4.Meta-data Management Activities
11.3.Summary
11.3.1.Guiding Principles
11.3.2.Process Summary
11.3.3.Organizational and Cultural Issues
11.4.Recommended Reading
11.4.1.General Reading
11.4.2.Meta-data in Library Science
11.4.3.Geospatial Meta-data Standards
11.4.4.ISO Meta-data Standards

12.Data Quality Management
12.1.Introduction
12.2.Concepts and Activities
12.2.1.Data Quality Management Approach
12.2.2.Develop and Promote Data Quality Awareness
12.2.3.Define Data Quality Requirements
12.2.4.Profile, Analyze and Assess Data Quality
12.2.5.Define Data Quality Metrics
12.2.6.Define Data Quality Business Rules
12.2.7.Test and Validate Data Quality Requirements
12.2.8.Set and Evaluate Data Quality Service Levels
12.2.9.Continuously Measure and Monitor Data Quality
12.2.10.Manage Data Quality Issues
12.2.11.Clean and Correct Data Quality Defects
12.2.12.Design and Implement Operational DQM Procedures
12.2.13.Monitor Operational DQM Procedures and Performance
12.3.Data Quality Tools
12.3.1.Data Profiling
12.3.2.Parsing and Standardization
12.3.3.Data Transformation
12.3.4.Identity Resolution and Matching
12.3.5.Enhancement
12.3.6.Reporting
12.4.Summary
12.4.1.Setting Data Quality Guiding Principles
12.4.2.Process Summary
12.4.3.Organizational and Cultural Issues
12.5.Recommended Reading

13.Professional Development
13.1.Characteristics of a Profession
13.2.DAMA Membership
13.3.Continuing Education and Training
13.4.Certification
13.4.1.How Do You Obtain a CDMP?
13.4.2.CDMP Examination Criteria
13.4.4.CDMP Qualifying Examinations
13.4.5.Accepted Vendor Training Certifications
13.4.6.Preparation for Taking Exams
13.4.7.Taking CDMP Exams
13.4.8.Professional Development / Recertification
13.5.Professional Ethics
13.6.Notable Data Management Professionals
13.6.1.Lifetime Achievement Award
13.6.2.Professional Achievement Award
13.6.3.Government Achievement Award
13.6.4.Academic Achievement Award
13.6.5.DAMA Community Award

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Availability

Detail Information

Series Title

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Call Number

005.74 MOS d

Publisher

New Jersey : Technics Publications., 2009

Collation

xxxiii, 406 hlm.: 27 cm.

Language

English

ISBN/ISSN

9780977140084

Classification

005.74

Content Type

-

Media Type

-

Carrier Type

-

Edition

First Edition (Print Edition 2010)

Subject(s)

Database management
Manajemen Informasi
Information Architecture
Information Management

Specific Detail Info

-

Statement of Responsibility

Mark Mosley, Michael Brackett, Susan Earley

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