Master Data Management (MDM) alone is not sufficient for integration in modern enterprises due to several issues: (1) lack of consideration for semantic heterogeneity between data from different sources, which can lead to erroneous conclusions, (2) inability to distinguish between different possible meanings of shared data without rich contextual information, (3) complexity from operating at large scale, with significant latency, and ubiquitous emerging technologies. The solution is a Semantic Enterprise - an information-centric and process-driven approach using techniques like ontologies, domain modeling, and service-oriented architecture to provide unambiguous semantic integration based on a well-defined enterprise architecture and governance framework.
Extend IBM Enterprise Content Management Solutions with Content NavigatorPerficient, Inc.
Your users demand rapid access to data and content to help drive better business outcomes. However, siloed content repositories present numerous concerns for organizations, including accessibility, mobility and compliance issues.
To address these challenges and provide a unified interface for all content repositories, IBM released Content Navigator. This free, web-based application provides a flexible, collaborative user interface to access and manage content from all IBM content repositories, including Content Manager, Content Manager OnDemand, FileNet P8 and CMIS-compliant repositories. Customizable through a complete API toolkit, IBM Content Navigator is designed to support custom plug-in development to allow users to extend their content management investments through enhanced functionality and application integrations.
Learn how your organization can most effectively deploy IBM Content Navigator to extract the greatest value from your IBM enterprise content management environment.
We discuss:
Functional and architectural overviews of IBM Content Navigator
Application deployment and integration best practices
Use cases for custom plug-ins
Demonstrations of IBM Content Navigator and custom plug-ins
Digital Enterprise Architecture: Four Elements Critical to Solution EnvisioningCognizant
For the digital enterprise, architecture of all varieties must evolve strategically in step with technological capabilities and business imperatives. Such a multidimensional approach includes automation, AI, analytics, big data management and digitization as a holistic phenomenon.
Applying reference models with archi mateBas van Gils
This is the slidedeck for a webinar that I presented for the opengroup. It presents a high-level overview of the use of reference model in the field of EA. Even more I present with some tips on how to use BiZZdesign architect to effectivdely implement reference models in organizations
This webinar features two IT4IT™ experts: Jim Hietala, VP Business Development at The Open Group and Michael Fulton, President Americas Division of CC and C Solutions, co-chair IT4IT Adoption Workgroup and Lead Author ITpreneurs IT4IT courseware.
Training and consulting providers looking to help your clients improve IT efficiency will enjoy this webinar. You will:
-Gain insight on how IT4IT serves the digital enterprise
-Discover its relation with Cloud, Agile, and DevOps
-Learn how it complements TOGAF®, Archimate® and ITIL®
-Find out what the training opportunities are for IT4IT
The Open Group IT4IT Reference Architecture provides prescriptive guidance on how to design, procure and implement the functionality needed to run IT. The training content of IT4IT will be available for licensing in the ITpreneurs courseware soon.
Extend IBM Enterprise Content Management Solutions with Content NavigatorPerficient, Inc.
Your users demand rapid access to data and content to help drive better business outcomes. However, siloed content repositories present numerous concerns for organizations, including accessibility, mobility and compliance issues.
To address these challenges and provide a unified interface for all content repositories, IBM released Content Navigator. This free, web-based application provides a flexible, collaborative user interface to access and manage content from all IBM content repositories, including Content Manager, Content Manager OnDemand, FileNet P8 and CMIS-compliant repositories. Customizable through a complete API toolkit, IBM Content Navigator is designed to support custom plug-in development to allow users to extend their content management investments through enhanced functionality and application integrations.
Learn how your organization can most effectively deploy IBM Content Navigator to extract the greatest value from your IBM enterprise content management environment.
We discuss:
Functional and architectural overviews of IBM Content Navigator
Application deployment and integration best practices
Use cases for custom plug-ins
Demonstrations of IBM Content Navigator and custom plug-ins
Digital Enterprise Architecture: Four Elements Critical to Solution EnvisioningCognizant
For the digital enterprise, architecture of all varieties must evolve strategically in step with technological capabilities and business imperatives. Such a multidimensional approach includes automation, AI, analytics, big data management and digitization as a holistic phenomenon.
Applying reference models with archi mateBas van Gils
This is the slidedeck for a webinar that I presented for the opengroup. It presents a high-level overview of the use of reference model in the field of EA. Even more I present with some tips on how to use BiZZdesign architect to effectivdely implement reference models in organizations
This webinar features two IT4IT™ experts: Jim Hietala, VP Business Development at The Open Group and Michael Fulton, President Americas Division of CC and C Solutions, co-chair IT4IT Adoption Workgroup and Lead Author ITpreneurs IT4IT courseware.
Training and consulting providers looking to help your clients improve IT efficiency will enjoy this webinar. You will:
-Gain insight on how IT4IT serves the digital enterprise
-Discover its relation with Cloud, Agile, and DevOps
-Learn how it complements TOGAF®, Archimate® and ITIL®
-Find out what the training opportunities are for IT4IT
The Open Group IT4IT Reference Architecture provides prescriptive guidance on how to design, procure and implement the functionality needed to run IT. The training content of IT4IT will be available for licensing in the ITpreneurs courseware soon.
Raphael Colsent describes National Bank's path to implementing their enterprise-wide MDM. National Bank is mastering data from over 500 domains and supporting their Basel II, CRM, and BI applications with EBX5.
Reference:
Colsenet, Raphael "National Bank MDM Initiative,"
Presentation from 2011 MDM and Data Governance Summit in Toronto, Canada, June 2011.
This describes the concept of a Process Oriented Architecture. A Process Oriented Architecture is a way of linking process areas to actual (desired) interactions – customer (external interacting party) service journeys through the organisation. It allows two views of any process to be maintained and operated:
1. External view – that experienced by user
2. Internal view – that worked on by the organisational competency
An organisation will interact will multiple external parties. Each external party will have a number of interaction paths or journeys. These journeys are the routes of experience of external parties. These routes of experience need to be mapped (as) seamlessly (as possible) to internal organisational operational process competency groupings.
The interaction paths or journeys represent the Straight Through Processing that the customer (external party) wants to experience. The complexity of internal organisational operational process competency groupings needs to be masked from the customer (external party). Process Oriented Architecture is a key enabler of successful digital transformation.
Introduction to Enterprise ArchitectureMohammed Omar
what is Enterprise Architecture
Enterprise Architecture Life-cycle
Enterprise Architecture benefits
Enterprise Architecture challenges
EA driven approach for IT strategy
Enterprise Architecture frameworks
Why do we Need Enterprise Architecture
Stepping-stones of enterprise-architecture: Process and practice in the real...Tetradian Consulting
What do we do when we’re doing enterprise architecture? What issues do we tackle, in what sequence, for what business reasons, for what business value? And how do we get results fast? This presentation describes how to adapt the Architectural Development Method (ADM) from The Open Group Architecture Framework (TOGAF) for use in all types of enterprise architecture - for IT and beyond - and at all architecture maturity-levels.
[Presentation at TOGAF Conference, London, April 2009. Applies to TOGAF versions 8.1 and 9. Copyright (c) Tetradian Consulting 2009]
Introduction To Business Architecture – Part 1Alan McSweeney
This is the first of a proposed four part introduction to Business Architecture. It is intended to focus on activities associated with Business Architecture work and engagements.
Business change without a target business architecture and a plan is likely to result in a lack of success and even failure. An effective approach to business architecture and business architecture competency is required to address effectively the pressures on businesses to change. Business architecture connects business strategy to effective implementation and operation:
• Translates business strategic aims to implementations
• Defines the consequences and impacts of strategy
• Isolates focussed business outcomes
• Identifies the changes and deliverables that achieve business success
Enterprise Architecture without Solution Architecture and Business Architecture will not deliver on its potential. Business Architecture is an essential part of the continuum from theory to practice.
Introduction to Enterprise Architecture Leo Shuster
If you ever wanted to find out what Enterprise Architecture was, this is the presentation for you. It gives you a basic understanding of Enterprise Architecture, its goals, objectives, and benefits.
Introducing the World's First Information Architecture ToolDATAVERSITY
David Dichmann explains how modeling your information will improve data quality, reliability, integrity and agility to facilitate your BI initiatives and demonstrate the new PowerDesigner. New Features of PowerDesigner 16 include:
Support for over 80 RDBMSs, more than any other modeling tool in the industry;
Modernized, role-based user interface for customizable usability and management;
Enterprise Glossary to ensure business terms and definitions are consistently managed throughout all models, and getting everyone speaking "the same language";
Improved Link & Sync technology with Impact Analysis ensures users are gathering all the connections throughout the entire enterprise to provide mission-critical decision support;
The Power Designer Portal ensures all users have access to authorized metadata including graphics and full element definitions;
Sybase IQ Reference Architecture Advisor allows users to understand the scope and size of their specific requirements.
The new release PowerDesigner 16 will help you:
Fix data quality issues caused by poor adherence to business processes or lack of standardization across systems;
Provide business decision makers access to real-time analytics to understand if business strategies are on track;
Respond to business changes quickly by adding additional reports or analytics or by changing hardware or software.
Trends in the commoditisation of information technology and the need for stra...Alan McSweeney
Understand exactly what is meant by the commoditisation of information technology and define a framework for achieving optimal business benefits from appropriate exploitation of commoditisation
Raphael Colsent describes National Bank's path to implementing their enterprise-wide MDM. National Bank is mastering data from over 500 domains and supporting their Basel II, CRM, and BI applications with EBX5.
Reference:
Colsenet, Raphael "National Bank MDM Initiative,"
Presentation from 2011 MDM and Data Governance Summit in Toronto, Canada, June 2011.
This describes the concept of a Process Oriented Architecture. A Process Oriented Architecture is a way of linking process areas to actual (desired) interactions – customer (external interacting party) service journeys through the organisation. It allows two views of any process to be maintained and operated:
1. External view – that experienced by user
2. Internal view – that worked on by the organisational competency
An organisation will interact will multiple external parties. Each external party will have a number of interaction paths or journeys. These journeys are the routes of experience of external parties. These routes of experience need to be mapped (as) seamlessly (as possible) to internal organisational operational process competency groupings.
The interaction paths or journeys represent the Straight Through Processing that the customer (external party) wants to experience. The complexity of internal organisational operational process competency groupings needs to be masked from the customer (external party). Process Oriented Architecture is a key enabler of successful digital transformation.
Introduction to Enterprise ArchitectureMohammed Omar
what is Enterprise Architecture
Enterprise Architecture Life-cycle
Enterprise Architecture benefits
Enterprise Architecture challenges
EA driven approach for IT strategy
Enterprise Architecture frameworks
Why do we Need Enterprise Architecture
Stepping-stones of enterprise-architecture: Process and practice in the real...Tetradian Consulting
What do we do when we’re doing enterprise architecture? What issues do we tackle, in what sequence, for what business reasons, for what business value? And how do we get results fast? This presentation describes how to adapt the Architectural Development Method (ADM) from The Open Group Architecture Framework (TOGAF) for use in all types of enterprise architecture - for IT and beyond - and at all architecture maturity-levels.
[Presentation at TOGAF Conference, London, April 2009. Applies to TOGAF versions 8.1 and 9. Copyright (c) Tetradian Consulting 2009]
Introduction To Business Architecture – Part 1Alan McSweeney
This is the first of a proposed four part introduction to Business Architecture. It is intended to focus on activities associated with Business Architecture work and engagements.
Business change without a target business architecture and a plan is likely to result in a lack of success and even failure. An effective approach to business architecture and business architecture competency is required to address effectively the pressures on businesses to change. Business architecture connects business strategy to effective implementation and operation:
• Translates business strategic aims to implementations
• Defines the consequences and impacts of strategy
• Isolates focussed business outcomes
• Identifies the changes and deliverables that achieve business success
Enterprise Architecture without Solution Architecture and Business Architecture will not deliver on its potential. Business Architecture is an essential part of the continuum from theory to practice.
Introduction to Enterprise Architecture Leo Shuster
If you ever wanted to find out what Enterprise Architecture was, this is the presentation for you. It gives you a basic understanding of Enterprise Architecture, its goals, objectives, and benefits.
Introducing the World's First Information Architecture ToolDATAVERSITY
David Dichmann explains how modeling your information will improve data quality, reliability, integrity and agility to facilitate your BI initiatives and demonstrate the new PowerDesigner. New Features of PowerDesigner 16 include:
Support for over 80 RDBMSs, more than any other modeling tool in the industry;
Modernized, role-based user interface for customizable usability and management;
Enterprise Glossary to ensure business terms and definitions are consistently managed throughout all models, and getting everyone speaking "the same language";
Improved Link & Sync technology with Impact Analysis ensures users are gathering all the connections throughout the entire enterprise to provide mission-critical decision support;
The Power Designer Portal ensures all users have access to authorized metadata including graphics and full element definitions;
Sybase IQ Reference Architecture Advisor allows users to understand the scope and size of their specific requirements.
The new release PowerDesigner 16 will help you:
Fix data quality issues caused by poor adherence to business processes or lack of standardization across systems;
Provide business decision makers access to real-time analytics to understand if business strategies are on track;
Respond to business changes quickly by adding additional reports or analytics or by changing hardware or software.
Trends in the commoditisation of information technology and the need for stra...Alan McSweeney
Understand exactly what is meant by the commoditisation of information technology and define a framework for achieving optimal business benefits from appropriate exploitation of commoditisation
Building a strong Data Management capability with TOGAF and ArchiMateBas van Gils
This is the deck that I used for my presentation at the EAM conference in 2013. It gives a high-level overview of the need for a solid data management capability before giving and overview of how enterprise architecture methods can be used to build this capability.
All Together Now: A Recipe for Successful Data GovernanceInside Analysis
The Briefing Room with David Loshin and Phasic Systems
Slides from the Live Webcast on July 10, 2012
Getting disparate groups of professionals to agree on business terminology can take forever, especially when big dollars or major issues are at stake. Many data governance programs languish indefinitely because of simple hang-ups. But a new approach has recently achieved monumental results for the United States Navy. The detailed process has since been codified and combined with a NoSQL technology that enables even the most complex data models and definitions to be distilled into simple, functional data flows.
Check out this episode of The Briefing Room to hear Analyst David Loshin of Knowledge Integrity explain why effective Data Governance requires cooperation. Loshin will be briefed by Geoffrey Malafsky of Phasic Systems who will tout his company's proprietary protocol for extracting, defining and managing critical information assets and processes. He'll explain how their approach allows everyone to be "correct" in their definitions, without causing data quality or performance issues in associated information systems. And he'll explain how their Corporate NoSQL engine enables real-time harmonization of definitions and dimensions.
Visit us at: http://www.insideanalysis.com
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Creating an Exceptional Customer Experience with Master Data Management and B...Are Hegdal
This slide deck shows how IBM's solutions for Master Data Management and Big Data can help your organization refine data into information and use this information to provide actionable knowledge to customer representatives that are responsible for providing your customers with an exceptional experience.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Karya develops mobile application services that fits the unique needs of your business. Our Mobile Application Services helps the users to better utilize the power of Mobile Technology.
Building the Artificially Intelligent EnterpriseDatabricks
This session looks at where we are today with data and analytics and what is needed to transition to the Artificially Intelligent Enterprise.
How do you mobilise developers to exploit what data scientists and business analysts have built? How do you align it all with business strategy to maximise business outcomes? How do you combine BI, predictive and prescriptive analytics, automation and reinforcement learning to get maximum value across the enterprise? What is the blueprint for building the artificially intelligent enterprise?
•Data and analytics – Where are we?
•Why is the journey only half-way done?
•2021 and beyond – The new era of AI usage and not just build
•The requirement – event-driven, on-demand and automated analytics
•Operationalising what you build – DataOps, MLOps and RPA
•Mobilising the masses to integrate AI into processes – what needs to be done?
•Business strategy alignment – the guiding light to AI utilisation for high reward
•Agility step change – the shift to no-code integration of AI by citizen developers
•Recording decisions, and analysing business impact
•Reinforcement-learning – transitioning to continuous reward
Analyst Webinar: Discover how a logical data fabric helps organizations avoid...Denodo
Watch full webinar here: https://bit.ly/3zVUXWp
In this webinar, we’ll be tackling the question of where our data is and how we can avoid it falling into a black hole.
We’ll examine how data blackholes and silos come to be and the challenges these pose to organisations. We will also look at the impact of data silos as organisations adopt more complex multi-cloud setups. Finally, we will discuss the opportunities a logical data fabric poses to assist organisations to avoid data silos and manage data in a centrally governed and controlled environment.
Join us and Barc’s Jacqueline Bloemen on this webinar to get the answer and further insights on how to better avoid falling into a #datablackhole. Hope to see you connected!
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Denodo
This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.
In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3sumuL5
Join KashTech and Denodo to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.
Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"
Register to attend and learn how Data Virtualization can:
- Accelerate the delivery of data to users
- Drive digital transformation initiatives
- Reduce project costs and timelines
- Quickly deliver value to your organization
Want to know more about Common Data Model and Service? You need to understant what's the difference between CDS for Apps and Analytics? Feel free to use these slides and send me your feed backs.
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
Data Modeling is hotter than ever, according to a number of recent surveys. Part of the appeal of data models lies in their ability to translate complex data concepts in an intuitive, visual way to both business and technical stakeholders. This webinar provides real-world best practices in using Data Modeling for both business and technical teams.
Similar to Mdm Is Not Enough, Semantic Enterprise Is (20)
Data Modeling Best Practices - Business & Technical Approaches
Mdm Is Not Enough, Semantic Enterprise Is
1. MDM Is Not Enough
Semantic Enterprise Is
by Semyon Axelrod
SemanticWebEnterprise
semyonax@semanterprise.com
“The significant problems we face today cannot be solved at the
same level of thinking we were at when we created them.”
Albert Einstein
“By far the most common mistake is to treat a generic situation
as if it were a series of unique events, that is, to be pragmatic
when one lacks the generic understanding and principle.”
Peter Ferdinand Drucker
2. Agenda
• Modern Enterprise modus operandi
• Integration of disparate information systems
• Issues
– Data integration versus system integration
• Data Integration Techniques and Technologies
• Master Data
– Modern enterprise complexity
– Lack of business processes architecture
• Solution
– Enterprise Architecture
– Semantic Enterprise
• Q&A
3. Integration in the modern
enterprise
• No business is static – the only constant is
change
• Business processes and business systems
– Integration crosses existing enterprise boundaries
• Partners
• Suppliers
• Clients
• Vendors
• New systems are being built and legacy systems
are being modified
• All systems need to be connected – integrated
4. Data and Systems Integration
• Theoretical Perspective: Data integration is the process
of combining data residing at different sources and
providing the user with a unified view of these data
– Maurizio Lenzerini, quot;Data Integration: A Theoretical Perspective”. Principles of Database Systems (PODS)
Perspective”
symposium (2002).
– Works well for OLAP and in case where operational context is
highly homogeneous and thus can be standardized
• US Postal Address
• Practical Perspective: Systems interoperability is based
on the exchange of data between systems
– Works well for OLTP
• For this presentation:
Data integration ≡ Systems integration
5. Data Integration Techniques and
Technologies
• Techniques – technology independent
approaches/styles:
– Propagation, Consolidation, Federation
• Technologies – practical implementations
of techniques:
– Data Replication, ETL, EAI, EII, ECM
• Tools – COTS applications
– Colin White, “A roadmap to Enterprise Data
Integration”, BI Research, November 2005
6. Modern Enterprise Information Flow
Sales
Enterprise
DataWarehouse Product
Development
Long
Term
Trend
Marketing ODS 1
Analysis
Master
Data
GL
North
America
ODS 2 GL1
International
7. MDM – integration perspective
• Master Data is shared data that has a single content and
format and is available to all the systems within the
enterprise that need to reference it
– Product
– Supplier
– Customer
• Master Data Management (MDM) is the capability to
create and maintain a single, authoritative source system
of “master” enterprise-level data.
• MDM application (or system) is a system that provides
consistent view of dispersed data.
– Colin White, “A roadmap to Enterprise Data Integration”, BI
Research, November 2005
8. MDM – semantic perspective
• It is always possible, and arguably, quite
easy, to misinterpret any shared data in
the absence of rich contextual information
that unambiguously distinguishes between
different possible meanings
– Customer
• Current customer
• High-value customer
• Returning customer
9. Master Data Management as
semantic integration problem
• Customer for different operational units
– Sales
– Marketing
– Customer Service
– Legal
– Regulatory Operational Risk
• Primary Borrower
– Primary Financial v Primary Legal
– Origination, Secondary Acquisition, Risk Analysis, Primary Servicing,
Investor Servicing, etc
• Bankruptcy Indicator
– Legal
– Operational as used in loan servicing
10. Senseless Conclusions or
Meaningful Integration
• “Integrating two “loss” relations with (implicit)
heterogeneous semantics leads to erroneous results and
completely senseless conclusions. Therefore, explicit and
precise semantics of integratable data are essential for
semantically correct and meaningful integration results.”
• “Note that none of the integration approaches above
helps to resolve semantic heterogeneity; neither is XML
that only provides structural information solution.”
– Three decades of data integration – all problems solved?
Chapter 4, from Structural to Semantic Integration
Patrick Ziegler and Klaus R. Dittrich. University of Zurich.
11. Modern Enterprise Complexity
• Scale
– Local global
• Time
– Significant latency NRT
• Technology
– Ubiquitous and omnipresent
– Operational Silos Enterprise-level view
– Static applications with substantial manual steps
Composite applications and SOA-type services
12. Solutions
• Business processes contextual information
contains the answers that we are looking
for
• Data and Process
– yin and yang
13. Semantic reconciliation
• Vickie Farrell, Cerebra WebMethods Software AG:
“Lack of quot;semantic reconciliationquot; among data
from different sources is inherent in a diverse,
dynamic and autonomous organization. …
Resolving discrepancies in metadata descriptions
from multiple tools, not to mention cultural and
historical differences, involves more than
physically consolidating metadata into a
common repository.”
“The Need for Active Metadata Integration: The Hard-Boiled Truth”,
DM Direct, September 2005; http://www.dmreview.com/dmdirect/20050909/1036703-1.html
16. MDA-inspired Architectural Domains I
Business Strategy
Computationally Independent Business Capabilities Domain
Business Business Business Business Enterprise IT Principles
Capability Capability Capability Capability Governance and
1 2 3 4 Framework Heuristics
Conceptual Enterprise Information Model
Logical Enterprise Information Model Platform Independent System Specification Domain
Technology Enterprise Enterprise Enterprise LOB-Level
Standards Integration System A System B Systems
and Guidelines Model Specification Specification Interfaces
Platform Specific Physical Implementation Domain
Physical Enterprise Information (a.k.a. Data) Model
ITIL Business Technology DB Schema/ XML Schemas
Components
CMDB Services Services Tables
18. Semantic Enterprise
• Well-engineered business enterprises
– Process-driven information-centric and context-rich
– Well-defined Governance
– Co-evolution between business and IT
• Enterprise Architecture
– Unifying organizing logic at the enterprise level
– Develops and maintains all EA domains
• Uses modern approaches to address the issues long term
– Ontologies and other semantic technologies
– Domain modeling
– SOA based
• MDA
19. Semantic Enterprise Technologies - Ontologies
• Ontologies
– Ontology in addition to taxonomy
characteristics, with formal subtyping and
rules for inclusion and exclusion, will also
include other relationships, i.e., part of
• UML diagrams: Class, Activity, State Transition
Diagrams, etc
20. Semantic Enterprise Technologies -- SOA
• Enterprise SOA Governance should include
Enterprise-level ontologies
– Semantic technologies (OWL, RDF) should be part of
the SOA technology suite along with UDDI, WSDL, etc
– Service repositories and registries should be able to
handle ontological operations in addition to UDDI
– Semantic of each service operation should be
completely unambiguous from both operational and
informational perspectives
21. Semantic Enterprise – where to start
• Culture change
• Use models
• UML
• Business capabilities model
– Information modeling instead of data
modeling
– Connecting business success to EA