
New! Revised Program
Day 1 | Day 2 &3 | Course Fees |
Day 1 - Enabling a Client-centric Information Strategy
1. The changing information landscape.
The business of information.
- Business and public-sector drivers for innovations in information
- Defining enterprise information architecture
- Self-serve and on-demand information services
- Information producers & consumers
- Ubiquitous information delivery: Multiple platforms and media formats
- A look at real world information services in government and business
2. Understanding your information culture.
Observations from the field.
- An anthropologist’s view of the enterprise: business as a culture
- Information needs within a business culture: Who uses what?
- The hunter/gatherer: Running the business
- The chief: Business intelligence for strategic advantage
- The explorer: Enterprise-wide discovery for innovation
- The villager: Client/citizen search for getting the right stuff - products, services and information
- The storyteller: From information publishing to digital folklore
- Understanding information values and quality
3. Trends in information architectures.
Designing for the client experience.
- Master data management (MDM) and customer data integration (CDI)
- Enterprise search: Integration of structured and unstructured sources
- Service-oriented architecture (SOA) and the enterprise service bus
- New frontiers in front-end information architecture: UX (user experience design), avatars, agents, and just plain good usability
4. The semantic imperative for enterprise information management.
Business and technology drivers for semantic integration.
- The emerging role of semantic architectures for enterprise information management
- Social media - Web 2.0, Wikis and others: The growing need for semantic interoperability
- The evolution to Web 3.0 and the Semantic Web
- Common confusions: Taxonomies, ontologies, metadata, and conceptual enterprise models
- Understanding the “O” word:
The role of business ontologies and natural language in determining meaning
- Dimensions of search and discovery
5. Real world global integration.
The International Council of Museums.
- The problem of cultural information diversity
- The need for a common “cultural reference model”
- Strategies to integrate heritage information
Days 2 & 3 - Semantic Strategies for Enterprise Information Management
1. Challenges of information service delivery.
Essentials for enterprise information management.
- Key success factors for meeting the promises of master data management, customer data integration and service-oriented architecture
- Semantic interoperability
- Search and query performance
- Information quality and visualization
2. Enterprise semantics.
Designing meaningful information architectures.
- Creating meaningful enterprise concepts from your data
- Constructs of an enterprise semantic model
- Relation types and uses: Connecting concepts in meaningful ways
- Formal foundations: Tightening up semantic interpretation
3. Real world business value.
Semantic interoperability in action.
In this walk-through session, team members will gain an overview perspective of the key steps involved in initiating an information integration project including lessons learned from various implementations.
4. Knowing what you know.
Building a semantic domain model for information architecture.
- Four sources of domain concepts and relationships
- Five-step process for an effective semantic model
- Issues in advanced semantic architecture design
5. Getting real.
Integrating your information services.
- Implementing an ontology to semantically integrate your information services
- Gaining semantic insight: analyzing sources
- Visualization
- Project lessons learned
6. Semantic Strategies for Enterprise Information Management.
Implications for SOA, business process, security and privacy management.
- Unifying data, information and business process with semantics
- Metadata for business processes and services
- Enabling business process semantic tools (BPMN, BPEL et al)
- Managing the risk and privacy
7. Data Quality and Lifecycle Management.
Managing your Enterprise Information Architecture .
- Data quality problems: Physical, logical or semantic?
- Categorizing data quality problems
- The challenge of context or metadata
- Data quality and semantic model lifecycles
- Enterprise model maintenance and management
- How an Enterprise Information Architecture ultimately solves data quality
8. Meaningful reference models.
Leveraging information and business patterns.
- The role of semantics in developing reference models
- Information and business service patterns
- Guidelines for adding meaning to architecture models
- Benefits of a developing a business ontology
9. We speak your language.
Standards and tools to make it easier.
- The role of various standards organizations
- The building blocks of expressive power
- Identifying tools relevant to your organization
10. Return on meaning.
The business value of semantics for enterprise information management.
- Assessing life cycle costs/benefits
- Analyzing benefits to the enterprise
- Case Study: Applying the business decision process to real projects
11. The next big thing.
The real pay off – Innovative information services
- Semantic web for information services
- Vision: Seamless search and discovery
- Towards semantically rich information delivery
- Immersive and collaborative information environments
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(Intervista is now offering DAMA & EAIG members a 10% discount on all of our courses)

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Register on line
or call 1-800-397-9744.
Outside North America
call +1 (514)937-7130

To bring this course to your organization call Intervista at 1-800-397-9744.
For outside North America, call
(514)937-7130.

Day 1
1. The business of information
2. Understanding your information
culture
3. Trends in information architectures
4. The semantic imperative
5. Real world global intergration
Day 2 & 3
1. Challenges of information service
delivery
2.
Enterprise semantics
3. Real world business value
4. Building a semantic domain model
5. Integrating your information services
6. Semantics for Enterprise
Information Management
7. Data quality and lifecycle
8. Meaningful reference models
9. Standards and tools
10. Return on meaning
11. The real pay off

Intervista Institute faculty member and leading expert in information management strategies and enterprise semantics, Kent Bimson works large government and business organizations on complex information architecture and enterprise integration challenges. He holds a PhD in Linguistics from UCLA and a M.S. in Computer Science from California State University Sacramento. This latest course brings together Intervista's research and Kent Bimson's real world practice to assist participants in creating innovative information services.
Learn more about our faculty.

"The course was excellent and very timely for what I am mandated to do at this moment."
Cheryl Potter
Data Architect
Brookfield Renewable Power
"I found the content and presentations excellent. Helped me better articulate some issues relating to Information Architecture and Strategies."
Brian Caughey
Business Representative
Correctional Services Canada
"Interesting material and well presented. Seems to be the most implementable solution course I've seen since 'Intro to client-server computing' in 1992!"
Sue Whalen
Senior Project Officer
Correctional Services Canada |