Monthly Archives: October 2016

ModelMate Architecture Reference Model

[Updated October 28, 2016]

This article describes the architecture reference model for deploying a comprehensive, integrated enterprise architecture modeling and data science platform based on ModelMate.

The audience for this article is IT professionals including enterprise architects, solution architects, and security architects who want increased visibility into the deployment of their custom applications, entire data center environments, business process definitions, and LOB applications such as SAP, Oracle Financials, Salesforce, Microsoft SharePoint, and Microsoft Dynamics CRM.

A primary use case is organizations with a requirement to move one or more on-premise applications or capabilities to the cloud or need a better understanding of how their hybrid on-premise/cloud environments (e.g. Salesforce cloud applications and on-premise or third-party customer loyalty solutions).


Quoting from Crossing the EA Chasm: Open Repository Strategies for Enterprise Architecture, “ModelMate is a working implementation of a Microsoft SQL Server and Neo4j graph database-based repository for managing arbitrarily large collections of arbitrary entities, properties, relationships, views, enable analysis, visualization, and understanding using easily-available open source and COTS (commercial off the shelf) business intelligence (BI), data visualization, and machine learning (ML) platforms, tools and cloud services.”

The primary goal of ModelMate is to provide automated support for the Continuous Transformation Framework of the Progressive Enterprise Architecture Model (PEAM) depicted in Figure 1.


Figure 1. Progressive Enterprise Architecture Model

Continuous Transformation Framework

The Continuous Transformation Framework is a Deming Cycle based on the following 4 phases:

  1. Listening & Learning
  2. Knowledge > New Designs
  3. Plan & Act
  4. Transformative Change > New Outcomes

The Framework is depicted as a continuous cycle as shown in Figure 1 above. The Framework can also be flattened and presented as a (repeating) sequence of 4 processes (Figure 2).


Figure 2. Continuous Transformation Framework

Why all of this discussion about PEAM and the Continuous Transformation Framework? It is because to be able to understand and value the ModelMate Architecture Reference Model, it’s important to understand the class of problems it is trying to solve. Automated support for Continuous Transformation is the pain; ModelMate is the pain killer.

ModelMate Architecture Reference Model

There are 3 high-level layers in the ModelMate Architecture Reference Model:

  • Apps that use the ModelMate repository
  • Continuous Transformation Framework
  • ModelMate Open Hybrid Repository (MOHR)

These 3 layers (and 4 categories of apps) are illustrated in Figure 3.  Each app category corresponds to one phase in the Continuous Transformation Framework.


Figure 3. ModelMate Architecture Reference Model: 3 Layers

The choice of apps that your organization selects for each category depends on the medium-term and long-term drivers and goals for your enterprise architecture program. The app groups map to specific phases of the Framework:

  1. Listen & Learn phase
    • Ingestion
  2. Knowledge > New Designs phase
    • Pure Modeling and Layout apps
    • Modeling, Layout & Visualization apps
    • Data Science apps
    • Custom Mobile and Web apps
  3. Plan & Act phase
    • Program & Project Management apps
  4. Transformative Change > New Outcomes phase
    • Operations and Change Management apps

Figure 4 lists a sample or representative list of applications that can fulfill the needs of each app category (each phase of the Continuous Transformation Framework).


Figure 4. ModelMate Architecture Reference Model: Apps


Ingestion apps are responsible for scanning the enterprise’s operational environment: systems, assets, and processes. Information captured about each entity includes its structure, metadata, performance and usage data.  Operational business data is usually not needed and not captured.

Sources of data include business process logs, configuration management databases, LOB application configurations (SAP, SharePoint, Salesforce, Microsoft Dynamics CRM, Oracle Financials, etc.), operations management systems (Azure OMS, Microsoft System Center, etc.), Microsoft MAP Toolkit, performance monitoring logs, usage and audit logs, etc.

These are inbound data sources used to automatically update and maintain the EA models stored in ModelMate. Ingestion apps are the primary data sources for the Listen & Learn phase of the Continuous Transformation Framework.

Pure Modeling and Layout Apps

There are several types of apps that comprise the Knowledge > New Designs phase of the Framework.  Pure Modeling and Layout Apps are applications that support the manual modeling of entities, relationships, and metadata as well as the manual layout of stakeholder specific views.

The apps in the group do not support any built-in analysis and visualization capabilities beyond manually-created basic views. In addition, pure modeling and layout apps do not include an end-user scripting capability for performing automated, user-defined custom analysis or visualization.

Archi is an example of a pure modeling and layout app.

Modeling, Layout & Visualization Apps

These types of apps support manual modeling of entities, relationships and metadata and the manual layout of stakeholder specific views but also include basic, advanced, and/or custom analysis and visualization capabilities.

BiZZdesign Enterprise Studio and other advanced EA modelers are examples of apps that belong to the Modeling, Layout & Visual Apps group – supporting the needs of the Knowledge > New Designs phase of the Framework.

Data Science Apps

Data Science Apps include non-traditional “enterprise architecture” modeling and analysis apps. This group includes both open sources as well as COTS (commercial off the shelf) data science tools and platforms. Data Science apps provide advanced analysis, machine learning and visualization capabilities enabled through open access to enterprise architecture data via standard protocols and APIs (e.g.ArchiMate Exchange File Format, OData, SQL Server stored procedures, entity models, and advanced query and analysis languages such as R, Cypher, and T-SQL).

Examples of Data Science apps include: R Studio, Microsoft Power BI, Tableau, Domo, Linkurious, Microsoft Excel and the Neo4j graph browser.

Custom Mobile and Web Apps

This is the last group of apps that support the Knowledge > New Designs phase of the Framework and includes both no-code and code platforms for creating custom reporting, analysis, visualization apps.

No-code custom apps designed with Microsoft PowerApps (and Microsoft PowerFlow) are examples of the former; traditional C#/VB.Net, Java, and Node.js/JavaScript apps are examples of the latter.

Program & Project Management Apps

Program & Project Management Apps support the Plan & Act phase of the Framework.

Traditional portfolio, program, and project managements apps are examples of applications in this group. Collaboration tools such as Microsoft SharePoint, Confluence, and Jira can also belong in this group. Collaboration tools can also be considered as “horizontal” solutions that can be used across all phases of the Framework.

Operations and Change Management Apps

All of the effort to create and manage a functioning enterprise architecture solution only realizes direct business value when it leads to Transformative Changes being made in the enterprise’s strategies, systems, assets, and processes; and measurable, positive New Outcomes result from the changes.

Examples of apps in this category include change management applications that support IT Service Management (ITSM) disciplines such as ITIL. ServiceNow is an example of an ITSM app.

Please provide your feedback in the Comments section below or feel free to email me directly.

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation

*ArchiMate is a registered trademark of The Open Group.

All other trademarks, servicemarks, registered trademarks, and registered servicemarks are the property of their respective owners.


Filed under ArchiMate, Automated Application Architecture Analysis, Automated Enterprise Architecture Modeling, Business Value, continuous transformation, Crossing the EA Charm, Data Science, ModelMate, Power BI, Progressive Enterprise Architecture Map (PEAM), Salesforce, SharePoint

Crossing the EA Chasm: Annotating Your EA Models with RACI Roles

In the LinkedIn ArchiMate posting Difference between business/application/technology process?, Anna Aaltonen asked:

“Does someone have good examples how elements Technology process and Application process differ? Maybe comparing also to element Business process. Basically, processes are the same, no matter how those are executed. Basically moving from higher level models to detailed models is just playing with hierarchy, not changing layer. I am looking for a practical example (preferably an example using all those) as well as some hints how to guide modelers (in practice), when they ask whether they should use this or that.”

One tip I use to help clarify these type of questions is to think about the constituencies served by each layer in a traditional enterprise architecture model and add the specific list of roles beside (to the right side of) each layer. Below is an example taken from the article ARMs for Metadata-Driven LOB apps: SharePoint 2013/SharePoint 2016.


Figure 1. Enterprise Architecture Layers: Constituencies


For each of the layers, the list of pertinent roles is listed.  I choose to further organize the roles based on  RACI categories (also check out this related article):

  • Responsible (Deliverables)
  • Accountable (Approvers)
  • Consulted (Contributors)
  •  Informed

Linking back to Anna’s question, this approach helps to focus everything that exists in a particular layer relative its constituency. Business Processes serve the needs to the Business architecture layer constituency; Application Processes, the needs of the Application layer constituency layer; Technology Processes, the needs of the Technology layer constituency.

Application Processes include development, tesing and maintenance; Technology Processes, deployment, operations and uprading, as simple examples.

Best regards,

Michael Herman (Toronto)
Parallelspace Corporation


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Filed under ArchiMate, Architecture Reference Models, Crossing the EA Charm, Enterprise Architecture

Crossing the EA Chasm: Automating Enterprise Architecture Modeling #1

If you have been following my Crossing the EA Chasm blog series (and related articles), you’ll have noticed a number of common themes:

Automating Enterprise Architecture Modeling

Automated enterprise architecture modeling (and automated application architecture analysis) are activities that belong to the Listening and Learning phase of the Continuous Transformation Framework.

Progressive EA Model 1-0-9-PEAM3-EA Chasm-Auto-Dots.png

Figure 1. Progressive Enterprise Architecture Model: Continuous Transformation Framework

Supporting the above themes, the Technology layer diagram below is automatically generated from a simple, single line query applied to an automatically created and dynamically maintained model of 500+ Windows and Linux servers (blue dots) with 550+ server network adapter configurations (yellow dots) connected to 25 network gateways (blue dots representing 25 network routers/switches). The data originates from a series of tables maintained by a configuration management database (CMDB) solution. There is no way to understand what the Technology environment looks like by simply looking at these tables.  However, in the visualization below, it is easy to see that there are at least 14 different server farms, application clusters, and data centers.

Parallelspace TEAM-DevicesA.png

Figure 2. Automatically Generated Technology Layer Model and View

In this ModelMate model, servers are represented by Nodes with 179 properties;  network adapter configurations as Devices with 69 properties each; and, network gateways as Devices with 4 properties per device.

This is just the beginning as additional information about web application, database, DNS, and directory and domain management services is used to add additional  detail to the current state Technology layer of this enterprise architecture. “More news at 11…” (click here).

This effort was made easier through the use of ModelMate and the Neo4j Community Edition free, open source graph database and the Cypher query language.

Best regards,

Michael Herman (Toronto)

Parallelspace Corporation


Filed under ArchiMate, Architecture Reference Models, Automated Application Architecture Analysis, Automated Enterprise Architecture Modeling, Crossing the EA Charm, Data Science, Enterprise Architecture, ModelMate, Progressive Enterprise Architecture Map (PEAM), The Open Group

Graphitization of .NET Applications: Marrying Open EA Data with Graph Databases

[Updated October 20, 2016]

As I’ve worked to support open access to enterprise architecture data by creating the ModelMate project, the range and diversity of how enterprise data can be analyzed and visualized has proved to be amazing.  Here’s yet another example: the marrying of open EA data in ModelMate models with a graph database platform …in less than 1 day.

The native (schema-less) representation for a graph database mirrors the ArchiMate* metamodel one-for-one:

  • Entities that support named types (“labels”)
  • Relationships between directed pairs of entities that also support named types (“relationship types”)
  • Unlimited property sets per entity
  • Unlimited property sets per relationship

Add to this, powerful query capabilities, a small footprint, and hyper-scalability. For example, being able to find all of the ArchiMate concepts that are 1, 2, 3, or an infinite number of relationships away from each of the Application Components in a large model and have these queries run and visualize in milliseconds (see the examples below).

For ModelMate’s first graph database integration, Neo4j from Neo Technologies was used. It was simple and efficient to install and was useable within a few minutes.  After working most of the morning to learn the Cypher query language to integrate and query the ModelMate data, the afternoon was spent exploring the graph model and experimenting with a range of queries. The most recent ModelMate logical architecture looks like the following (October 19, 2016).


Figure 1. ModelMate Logical Architecture

Automated Application Architecture Analysis

What are some of the results?  Here’s a series of views created with simple, single-line queries against the ModelMate graph. The scenario is automated application architecture analysis to support migration of on-premise applications to the cloud.

This version of the VetContext ModelMate model used for this example included:

  • 8714 elements (nodes) – files, assemblies, modules, methods, fields, method calls, and field references represented as ArchiMate application and technology layer concepts
  • 16,210 relationships – modeled as ArchiMate relationships that linked the above elements into a ModelMate graph

TIP: If you click on each image, you can check out the single line query at the top of each screenshot.


Figure 2. Application Architecture: Contains and References Relations (1 hop)


Figure 3. Application Architecture: Contains, Defines, and References Relations (2 hops)


Figure 4. Application Architecture: Accesses, Calls, Contains, Defines, References, References and Type For Relations (3 hops)



Figure 5. Application Architecture: Visualize Relations between all Application Components, Artifacts, and System Software Components (any number of hops)


Figure 6. VetContext ModelMate Graph: All Application Components (any number of hops)

In Figure 7 below you can see the much smaller VetContext application in the green circle in contrast with all of the public classes and methods found in the Entity Framework assembly from Microsoft (blue circle).


Figure 7. VetContext Application References into the Microsoft Entity Framework

Impressive for 1-day’s worth of effort (including training).

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation


p.s. What is the VetContext ModelMate model that I’m using for these blog postings?

The VetContext ModelMate model is based on the Microsoft Entity Framework sample of the same name from the book Programming Entity Framework: Code First by Julia Lerman and Rowan Miller. The ModelMate model is comprised of data from all of the .NET assemblies, modules, type definitions (including classes, enums, etc.), method definitions, field definitions, method calls and field accesses as well as the physical files that store the assemblies in the VetContext sample application. A simplified VetContext class diagram (from Visual Studio) appears below.


Figure 8. VetContext Class Diagram

The ModelMate Scanner for .NET Application Migration reads a folder of all of the .exe and .dll files for one or more .NET applications and builds the ModelMate model. No source code is needed. The scanner reads and parses the intermediate language (MSIL) directly.

p.p.s. The original ModelMate SQL Server schema (the original data source for the ModelMate graph) looks similar to the following. This was used before ModelMate included support for graph databases.


Figure 9. ModelMate SQL Server (non-graph database) Schema
(obsoleted by the ModelMate migration to Neo4j graph database)

 * ArchiMate is a registered trademark of The Open Group.



Filed under ArchiMate, Automated Application Architecture Analysis, Crossing the EA Charm, Data Science, Enterprise Architecture, Graphitization, Progressive Enterprise Architecture Map (PEAM), The Open Group

Crossing the EA Chasm: Enterprise Architecture Diagrams Your Grandmother (and CIO) Will Love

[Updated October 13, 2016]

Let’s face it – not everyone is in love with the traditional enterprise architecture diagrams that are based on the ArchiMate* standard. Here, more or less, is a typical ArchiMate view.


Figure 1. A Traditional ArchiMate View: VetContext ModelMate Model

What if there was a way to create literally any type of visualization you wanted – from a common, central, “single version of the truth” repository?  Something your grandmother (and CIO) will love?

The first step is to unlock your enterprise architecture data.

In the recent article Crossing the EA Chasm: Open Repository Strategies for Enterprise Architecture, I described an open data access strategy for providing easy access to EA data from virtually any open source or COTS (commercial-off-the-shelf) modeling, data visualization, machine learning, or business intelligence platform.

The ModelMate project is a realization of this open repository strategy for EA data.  ModelMate supports access to a central EA repository using the following protocols:

  • The Open Group ArchiMate Model Exchange File Format (EFF) import and export
  • OASIS OData interoperability REST web API
  • .NET API for C# and VB.NET developers
  • Direct access to the underlying SQL Server repository using T-SQL stored procedures

The latest version of the ModelMate architecture is depicted below (October 12, 2016).


Figure 2. The Model Mate Project: Logical Architecture

What sorts of visualizations does an open repository strategy like ModelMate enable? Check out the following ModelMate Graph rendered as an interactive EA exploration tool using Microsoft Power BI, the free desktop edition. This is just one rendering – the number of possibilities is limitless.


Figure 3. VetContext ModelMate Graph rendered using Microsoft Power BI (desktop)

From Power BI Desktop, it takes a couple clicks to publish a live, interactive, web version of the model to the cloud – the same ModelMate model that was used to create Figure 1.


Figure 4. VetContext ModelMate Graph rendered using Microsoft Power BI (cloud)

Click here to check it out for yourself: ModelMate Graphs running in the cloud.

The above “spaghetti” visual is just one of the dozens of custom visuals available for Power PI.  Here’s a sampling….

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Figure 4. Microsoft Power BI Custom Visual Gallery

TIP: To use Data Science platforms like Power BI and R to get the most out of your EA data, consider looking into the Microsoft Professional Degree Program in Data Science.

Please email me if you have any questions or additional comments at

Best regards,

Michael Herman (Toronto)

Parallelspace Corporation

p.s. Don’t forget to email a copy of the link to your grandmother (or your CIO).  Please add your feedback in the Comments section below.

p.p.s. Here’s an updated view of the same VetContext ModelMate model using the latest version of SPARX Enterprise Architect version 13 that was released earlier this week. The layout was created using the Digraph automated layout feature.  When you have a powerful and easy way to scan and ingest arbitrary sized datasets, features like automated layout and routing become critically important.


Figure 5. VetContext ModelMate Model in SPARX Enterprise Architect 13

* ArchiMate is a registered trademark of The Open Group


Filed under Crossing the EA Charm, Enterprise Architecture, Microsoft Azure, ModelMate, Power BI, The Open Group

Crossing the EA Chasm: “Where does IoT [Internet of Things] fit in?”

In the article The EA Chasm: Open Repository Strategies for Enterprise Architecture, Vijay Sharma asked the question: “Where does IoT [Internet of Things] fit in?”. Vijay, you couldn’t have chosen a more perfect example or a better question.

The one-word answer is “everywhere” – no sarcasm intended.

The “1000 word” answer can be found in the following diagram based on the Progressive Enterprise Architect Map (PEAM) model (click to enlarge):

Progressive EA Model 1-0-7-PEAMS-Chasms-IoT.png

The first thing that strikes me about this diagram is: with the need to complete 15+ major, cross-functional, interdependent activities, it is completely understandable why major digital business initiatives fail or, otherwise, “wither and die on the vine” before they’re completed.  This applies to all digital business initiatives – not just IoT.

Second, what happens when an IoT (or any other enterprise) initiative starts off as a “skunkworks” project?  Placing the question in the context of the above diagram, what if IoT starts off on the far, far right (activities 12-15) as unplanned, uncoordinated activities by a group without any defined business drivers, linkage to the business strategy, or connection to the enterprise architecture?

Food for thought (and time for breakfast).

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation

p.s. Why was activity 16 (IoT Platforms and Tools) placed inside the Enterprise Architecture Chasm?

It’s mostly unrelated to the above discussion but it hints at the idea that IoT approaches can also be used in a non-traditional way to Listen to signals in the  Enterprise Assets, Systems, and Processes (performance data, usage information, planned and unplanned changes in the operational processes and systems, etc.), and then use this data to annotate the Core Enterprise Architecture. BI techniques can be used to analyse and visualize the annotated EA model to create new Designs.  The coordination of the building and  deployment of the new Designs hopefully results in Transformative Changes being applied to the Enterprise’s Strategies, Systems, Assets, and Processes to produce additional, meaningful business value.

IoT Platforms and Tools are enablers for listening and responding to the “hum” of an organization’s systems, assets and processes, and, when fully realized, can also be used to distribute Transformative Changes in a software-defined enterprise.

To read more about using IoT to create, maintain and manage an enterprise architecture, check out External IoT vs. Internal IoT: Beware of the Hype Cycle.

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Filed under ArchiMate, Architecture Reference Models, Crossing the EA Charm, Enterprise Architecture, ModelMate, Progressive Enterprise Architecture Map (PEAM)

Crossing the EA Chasm: Open Repository Strategies for Enterprise Architecture

[Updated October 27, 2016]

In a recent posting (Crossing the Enterprise Architecture Chasm), I offered a definition for the term Enterprise Architecture Chasm, the practical gap that will always exist between enterprise architecture and an organization’s systems, strategies, assets, and processes (and the companion Strategy Chasm that exists between an organization’s motivation and strategy and its enterprise architecture).


Figure 1. Progressive Enterprise Architecture Map

In this posting, I describe the “ModelMate” project – the creation of an open EA repository software solution that assists in crossing the EA Chasm. “ModelMate” is a codename for this project (also read the p.s. at the bottom of this posting). Caveat: This posting will be somewhat technical but regardless of who you  are, you’ll find the example use cases to be insightful.


ModelMate is a working implementation of a Microsoft SQL Server and Neo4j graph database-based repository for managing arbitrarily large collections of arbitrary entities, properties, relationships, views, enable analysis, visualization, and understanding using easily-available open source and COTS (commercial off the shelf) business intelligence (BI), data visualization, and machine learning (ML) platforms, tools and cloud services.


The ModelMate schema is modeled more or less after The Open Group ArchiMate Model File Exchange File Format (EFF) with several extensions; including support for multi-tenancy, 2D and 3D entities, 3D views of 2D and 3D entities, processing history, versioning, annotations (including usage and performance data), automated heat maps, replication and synchronization. Read/write access to the repository is supported using an entity-based .NET API.  Importing and exporting of EFF files is fully supported. The physical repository is a highly normalized SQL Server database. Here is what the high-level ModelMate architecture looks like.


Figure 2. Use Case 1. Cloud migration of custom .NET desktop apps, services, and web applications

ModelMate can run anywhere: on your laptop, Windows server, virtual server, data center, or in the cloud; anywhere you can use SQL Server Express, SQL Server, or Azure SQL Server.

Use Case 1: Cloud migration of custom .NET desktop apps, services, and web applications

In this scenario, a .NET Entity Discovery component scans the compiled .NET executables (.EXE files) and library assemblies (.DLL files); calling the ModelMate API to create a model in the ModelMate repository.  A separate component uses the EFF Exporter capability to read the ModelMate model and create an EFF file containing the model data.  In this specific scenario, Archi was used to read the ModelMate model and support real-time exploration of the .NET application’s architecture. At this point in the project, views are being created manually but highly facilitated by the design of the model and Archi’s Visualizer and Navigation features.  Here’s a sample of a view created from the resulting ModelMate model as well as a screenshot of what the actual dual-screen user experience looks like.

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Figure 3. VetContext ModelMate Model imported into Archi

The broader use case is system analysis and assessment to support migration of on-premise custom .NET desktop, service and web applications to the cloud.

The above model is large; containing:

  • 190,000 properties and values
  • 25,000 labels
  • 16,000 relationships
  • 8,700 elements

The EFF file is 52MB in size;. the resulting Archi .archimate file, 34MB in size.

Because ModelMate models are based on the EFF file format, any EFF compatible modeler such as BiZZdesign Enterprise Studio or SPARX Enterprise Architect can also be used.

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Figure 4. VetContext ModelMate Model imported into SPARX Enterprise Architect

SPARX EA’s automated layout and routing capabilities proved to be quite valuable – especially when the burden of importing extremely large numbers of elements and relationships into any of these tools is reduced to a few mouse clicks.

Use Case 2: Support for COTS (commercial-off-the-shelf) Business Intelligence tools

Because the ModelMate Repository schema is based on the EFF format (with extensions) and is realized as a SQL Server database, it is easy to produce any myriad of visualizations and perform analysis using easily-available COTS and open source tools such as Microsoft Power BI interactive data visualization tools, and the R language for statistical computing. Detailed examples with be added to this article over the next few weeks.


Figure 5. ModelMate Logical Architecture

Given the enormous user communities and large libraries of user-contributed data analysis, machine learning, and visualization components available for each of these platforms (as well as Power BI’s support for R), there are no limits to what you can do with a ModelMate model.

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation

p.s. At this point, there are no specific plans to commercialize the ModelMate project but if you think ModelMate can help make what you’re trying to accomplish a bit easier to realize, please email me at

* ArchiMate is a registered trademark of The Open Group


Filed under ArchiMate, Architecture Reference Models, Crossing the EA Charm, Definitions, Enterprise Architecture, ModelMate

Crossing the Enterprise Architecture Chasm


Enterprise Architecture Chasm

What is the Enterprise Architecture Chasm?  First, a quick Google search didn’t find any previous references to the term Enterprise Architecture Chasm, at least not in the context I’m using it.  So what am I talking about?  We need to recognize the difference, the practical gap, that will always exist between EA models, plans, and other artifacts and an enterprise’s actual strategies, systems, assets, and processes. There will always be a gap because of several factors:

  • Time to design
  • Time to plan
  • Time to act
  • Time to operate
  • Time to measure new outcomes

and, lastly, the completeness and faithfulness of transformative changes that are actually implemented relative what’s documented in the enterprise architecture.  Here’s a picture highlighting this gap, the Enterprise Architecture Chasm.


Figure 1. Total Enterprise Architecture Model (TEAM): Enterprise Architecture Chasm

This iterative 4-step management cycle is called the Continuous Transformation Framework. At a given time, there isn’t just 1 Continuous Transformation cycle at work in an organization but there can be several, even hundreds, dependent on the size and complexity of your enterprise.

Homework Question: Which dimensions or metrics can be used to characterize or benchmark the size of the Enterprise Chasm in an organization?

Strategy Chasm

Is the EA Chasm the only chasm?  No.  In most organizations, there is most likely a Strategy Chasm as well – the gap between the organization’s motivations and strategies and what is represented and planned for in the enterprise architecture.  Same set of issues.  They just occur earlier in the process.  Here’s an example of the Strategy Chasm. (Click to enlarge this diagram.)


Figure 2. Team Enterprise Architecture Model (TEAM): Strategy Chasm and Enterprise Architecture Chasm

In the Fall of 2016, two webinars were presented that looked how to extend traditional enterprise architecture methods (e.g. TOGAF) to be more complete/fill in some gaps.  The first talk, 7 Reasons Why IT4IT™ is Good for Architects presented by Dan Warfield and Sven van Dijk, looked to The Open Group’s IT4IT for answers on how to cross the enterprise architecture chasm. The second talk, BIZBOK® Guide and TOGAF® Standard: Business Architecture Value Proposition presented by Chris Armstrong  and Wally McLaughlin, looked at a related set of problems from a Business Architecture and BIZBOK perspective.

To what extent are your EA methods, repositories, and tools helping your organization cross the Strategy Chasm and the EA Chasm?

Will IT4IT and BIZBOK and other methods (e.g. ITIL) help cross or close the gap?

“Time will tell…”

Best regards,
Michael Herman (Toronto)
Parallelspace Corporation

p.s. These diagrams on based on the Progressive Enterprise Architecture Model described here.


Filed under ArchiMate, Architecture Reference Models, continuous transformation, Crossing the EA Charm, Digital Transformation, Enterprise Architecture, Enterprise Architecture Chasm, IoT, ModelMate