This webinar aired originally on Tuesday, February 14, 2012.
It is part of Data Blueprint’s ongoing webinar series on data management. For more information and to sign up for future session, please visit www.datablueprint.com/webinar-schedule
Abstract: All organizations have data architectures. The question is: How effectively do they use them? This presentation provides a clear and concise understanding of what is meant by the term data architecture and the requirement that data and information architectures must be simultaneously managed. More importantly, organizations must understand what it means to use data architecture to support the implementation of organizational strategy. Participants will understand the requirements for an iterative, incremental approach to data architecture reengineering, the complimentary role of the Zachman Framework, and the ability to articulate the business value of data architecture projects and components.
View the video recording here: http://www.slideshare.net/aberkowitz/dataed-online-building-a-solid-foundationdatainformation-architecture
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Transcript
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PRODUCED BY
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
Building a Solid Foundation: Data/Information Architecture
All organizations have data architectures. The question is: How effectively do they use them? This presentation provides a clear and concise understanding of what is meant by the term data architecture and the requirement that data and information architectures must be simultaneously managed. More importantly, organizations must understand what it means to use data architecture to support the implementation of organizational strategy. Participants will understand the requirements for an iterative, incremental approach to data architecture reengineering, the complimentary role of the Zachman Framework, and the ability to articulate the business value of data architecture projects and components.
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TITLE
PRODUCED BY
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
He who doesn’t lay his foundations before hand, may by great abilities do so afterward, although with great trouble to the architect and danger to the building.
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DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
Polling Question #1 Most organizations do not formally manage any type of
architectures. I have surveyed 500 different organizations around the world and found that not all of them have architectures in place. What do you think is the percentage of organizations worldwide with data architectures?
a) 80%b) 60%c) 40%d) Less than 10%
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TITLE
PRODUCED BY
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
– Arrangement of security controls relation to IT Architecture• Technical Architecture/Tarchitecture
– Relation of software capabilities/technology stack– Structure of the technology infrastructure of an enterprise, solution or system– Typical elements: Networks, hardware, software platforms, standards/protocols
• Data/Information Architecture– Arrangement of data assets supporting organizational strategy – Typical elements: specifications expressed as entities, relationships, attributes,
definitions, values, vocabularies
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PRODUCED BY
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
Architecture is both the process and product of planning, designing and constructing space that reflects functional, social, and aesthetic considerations. A wider definition may comprise all design activity from the macro-level (urban design, landscape architecture) to the micro-level (construction details and furniture). In fact, architecture today may refer to the activity of designing any kind of system and is often used in the IT world.
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PRODUCED BY
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
•… are plans, guiding the transformation of strategic organizational information needs into specific information systems development projects
– Source: Internet
• "Information architecture is a foundation discipline describing the theory, principles, guidelines, standards, conventions, and factors for managing information as a resource. It produces drawings, charts, plans, documents, designs, blueprints, and templates, helping everyone make efficient, effective, productive and innovative use of all types of information."
– Source: Information First by Roger & Elaine Evernden, 2003 ISBN 0 7506 5858 4 p.1.
• Defining the data needs of the enterprise and designing the master blueprints to meet those needs
• Source: DM BoK
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DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
• Common vocabulary expressing integrated requirements ensuring that data assets are stored, arranged, managed, and used in systems in support of organizational strategy* • All organizations have
information architectures• Some are better understood and
documented (and therefore more useful) than others
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DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
*Horizontal integration lines are shown for example purposes only and are not a complete set. Composite, integrative rela-tionships connecting every cell horizontally potentially exist.Names
Names
™
C o m p o s i t e I n t e g r a t i o n s
Alignment
Transformations
C o m p o s i t e I n t e g r a t i o n s
Alignment
Transformations
C o m p o s i t e I n t e g r a t i o n s C o m p o s i t e I n t e g r a t i o n s
Alignment
Transformations
Alignment
Transformations
A l i g n m e n t
A l i g n m e n t
Where Why
Operations
Instances
TheEnterprise
TheEnterprise
Enterprise
Perspective
Executive
Perspective
Business Mgmt
Perspective
Architect
Perspective
Engineer
Perspective
Technician
Perspective
Scope
Contexts
Business
Concepts
System
Logic
Technology
Physics
Tool
Components
e.g. e.g. e.g. e.g. e.g. e.g.
e.g. e.g. e.g. e.g. e.g. e.g.
e.g. e.g. e.g. e.g. e.g. e.g.
e.g. e.g. e.g. e.g. e.g. e.g.e.g.: primitive e.g.: composite model:
model:
Forecast Sales
Plan Production
Sell Products
Take Orders
Train Employees
Assign Territories
Develop Markets
Maintain Facilities
Repair Products
Record Transctns
Material Supply Ntwk
Product Dist. Ntwk
Voice Comm. Ntwk
Data Comm. Ntwk
Manu. Process Ntwk
Parts Dist. Ntwk
Personnel Dist. Ntwk
etc., etc.
General Mgmt
Product Mgmt
Engineering Design
Manu. Engineering
Accounting
Finance
Transportation
Distribution
Marketing
Sales
Product Cycle
Market Cycle
Planning Cycle
Order Cycle
Employee Cycle
Maint. Cycle
Production Cycle
Sales Cycle
Economic Cycle
Accounting Cycle
Products
Product Types
Parts Bins
Customers
Territories
Orders
Employees
Vehicles
Accounts
New Markets
Revenue Growth
Expns Reduction
Cust Convenience
Customer Satis.
Regulatory Comp.
New Capital
Social Contribution
Increased Yield
Increased Qualitye.g. e.g. e.g. e.g. e.g. e.g.
Process
Instantiations
Distribution
Instantiations
Responsibility
Instantiations
Timing
Instantiations
Inventory
Instantiations
Motivation
Instantiations
List: Timing Types
Business IntervalBusiness Moment
List: Responsibility Types
Business RoleBusiness Work Product
List: Distribution Types
Business LocationBusiness Connection
List: Process Types
Business TransformBusiness Input/Output
System TransformSystem Input /Output
System LocationSystem Connection
System RoleSystem Work Product
System IntervalSystem Moment
Technology TransformTechnology Input /Output
Technology LocationTechnology Connection
Technology RoleTechnology Work Product
Technology IntervalTechnology Moment
Tool TransformTool Input /Output
Tool LocationTool Connection
Tool RoleTool Work Product
Tool IntervalTool Moment
List: Inventory Types
Business EntityBusiness Relationship
System EntitySystem Relationship
Technology EntityTechnology Relationship
Tool EntityTool Relationship
List: Motivation Types
Business EndBusiness Means
System EndSystem Means
Technology EndTechnology Means
Tool EndTool Means
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PRODUCED BY
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
Data Architecture Mgmt Roles and ResponsibilitiesManagers and Executives
Consumers• Data Stewards• Data Architects• Data Analysts• Database Administrators• Software Developers• Project Managers• Data Producers• Knowledge Workers
Suppliers• Executives • Data Stewards• Data Producers• Information Consumers
Participants• Data Stewards• SMEs• Data Architects• Data Analysts & Modelers • Other Enterprise Architects• DM Executives & Managers• CIO & other Executives• Database Administrators• Data Model Administrators
Top 3 Things a Data Architecture Tool Needs to have in 20121. True business glossary
– Capturing the language of the business independent of data structure, independent of physical form, is the ideal way to properly identify, classify, and manage disparate information sources
2. Business process and other business models– These models define the context for information that we
manage. By aligning all information concepts with all uses of that same concept across all business units and all business use cases, we can ensure a consistent definition of that information regardless of which subset of the attributes we implement in a given application or technology
3. Web-based collaboration– This one is really about sharing the metadata with folks
that are not using a modeling tool but have a say in this knowledge set.
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Source: “Top 3 Things a Data Architecture Tool Needs to Have in 2012” by David Dichmann; http://blogs.sybase.com/dichmann/2012/01/top-3-things-a-data-architecture-tool-needs-to-have-in-2012/
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DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION
Guiding Principles & Best Practices1. Data architecture is an integrated set of
specification artifacts (master blueprints) used to define data requirements, guide data integration, control data assets, and align data investments with business strategy
2. Enterprise data architecture is part of the overall enterprise architecture, along with process architecture, business architecture, systems architecture, and technology architecture
3. Enterprise data architecture includes three major categories of specifications:
(1) The enterprise data model(2) Information value chain analysis(3) Data delivery architecture
Guiding Principles & Best Practices, cont’d4. Enterprise data architecture is
about more than just data. It helps establish the semantics of an enterprise, using a common business vocabulary
5. An enterprise data model is an integrated subject-oriented data model defining the essential data used across an entire organization. Build an enterprise data model in layers: – Subject area overview– Conceptual views of entities and relationships for each subject area– More detailed, partially attributed views of these same subject areas
6. Information value chain analysis defines the critical relationships between data, processes, roles and organizations, and other enterprise elements
7. Data delivery architecture defines the master blueprint for how data flows across databases and applications. This ensures data quality and integrity to support both transactional business processes and business intelligence reporting and analysis
8. Architectural frameworks like TOGAF and The Zachman Framework help organize collective thinking about architecture. This allows different people with different objectives and perspectives to work together to meet common interests.
• What is an information architecture?– A structure of data-based information assets supporting implementation of
organizational strategy (or strategies)– Most organizations have data assets that are not supportive of strategies
- i.e., information architectures that are not helpful– The really important question is: how can organizations more effectively
use their information architectures to support strategy implementation?• What is meant by use of an information architecture?
– Application of data assets towards organizational strategic objectives– Assessed by the maturity of organizational data management practices – Results in increased capabilities, dexterity, and self awareness– Accomplished through use of data-centric development practices
(including taxonomies, stewardship, and repository use)• How does an organization achieve better use of its information
architecture?– Continuous re-development; the starting point isn't the beginning– Information architecture components must typically be reengineered – Using an iterative, incremental approach, typically focusing on one
component at a time and applying formal transformations
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DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060CLASSIFICATION