The Enterprise Family

While I’m sure the last thing we need is another analogy for enterprise architecture, a colleague of mine came up with one that really resonated with me. We were discussing principles, which many believe should represent the shared, unchanging values of the organization, in the context of enterprise architecture and governance. That’s when he came […]

Categories SOA

Business Model Canvas to Archimate (the short version)

The previous post, ‘From business model to enterprise-architecture‘, turned out to be another of my monster essays. Sorry…
The detail’s there if you need it, but if you just want to do the translation from Business Model Canvas to Archimate, without worrying too much about the ‘Why’ behind it, here’s the short version.
Step 1: […]

USAA: Journey to the Business Side of Enterprise Architecture

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To ensure your EA initiative delivers business value, focus on the needs of the business community from analysts to middle managers to senior leaders. Present the information using visualizations they find useful, rather than trying to teach them EA models. Let business users describe architecture components using terms they are comfortable with, and make sure you can quickly deliver finished architectures when users demand them.

Those are the lessons USAA’s architecture team has learned in its five year push to move EA from an IT-centered function to a vital solution for business planning and strategy at the financial services giant. As USAA has grown to 23,000 employees and 8.2 million members, the rate and magnitude of change has resulted in a level of complexity that requires a single cross-discipline, cross-organization architecture team.

In a June 15 Webinar for Troux, Michael Pemberton, Enterprise Architect in Transformation and Integration, suggested that EA and Business Technology Management practitioners focus on the following areas: 

Find Your Proper Place in the Organization: Instead of an “Information Architecture Steering Committee” or a “Business Architecture Steering Committee”, USAA established a “Unified Architecture Steering Committee” that represents business architecture, information architecture, process architecture, IT architecture, change management, and organizational design. 

To closely align Business Architecture with both business strategy and IT partners, the architecture team is part of the Transformation and Integration group, which along with the Strategy team is part of the Enterprise Strategy and Planning organization reporting to the CEO.  IT Architecture lives within the CTO organization, reporting to the chief administrative officer who also reports to the CEO. While EA and IT do not report to the same organization, they work closely together daily – a key success factor.

Think Through Your Model: Correctly “architecting the architecture” improves the accuracy and maintainability of the models over time. Pemberton recommends, for example, using one model only for processes, another only for data, and another only for information. That way, he says, each model “will be simple as it can be, with the simplest mappings” but represent the complexity of the organization through “the relationships among the elements of each model.” He also recommends using a metamodel, like Troux’s that limits flexibility within each model, but allows flexibility among models. “That forces you to have better architectural practices,” he says.

USAA is using Troux to build a common repository and metamodel designed to unify the architects into a single, cohesive community.

Visualizations: Pemberton jokes about the pain the architecture team experienced trying to teach business managers to use EA models, rather than “enlightening” them with well-done visualizations that answer their critical business questions. After being told in no uncertain terms they weren’t useful, he says, the architecture team will “never again show one of our primitive models to the business. Our visualizations must be highly graphical, and show things like context, rather than content, and convey understanding and meaning, rather than information.”

Let the Business Use Its Own Vocabulary: The architecture team has very rigorous rules for naming functions with its models, but allows business executives to use more familiar names for functions within visualizations. “We maintain aliases to our strict definitions, but let the business use the terms with which it’s comfortable.” That way, business users get the answers they need, while the architecture team can enforce the rules that assure consistency and accuracy over time. Similarly, “If we are presenting a methodology to the business and use the word ‘architecture’ eyes glaze over,” he says. “We’ve learned to use the phrase ‘business design’ and business users respond ‘Ah ha! You are helping me design my business.’”

Build Your Capacity:  Watch out for what Pemberton calls “killer demand curves” where business users suddenly demand lots of full architectures – immediately. “If you don’t have an EA practice that’s built to scale up to deliver quickly on demand, the business becomes disenchanted and sees you as an ivory tower, and what you do as vaporware.” Rather than deliver only visualizations, USAA’s architecture team is creating other deliverables such as a “Unified Business Design Playbook” that documents common methods for aligning deliverables across the organization. That’s among the ways it is attempting to scale the architecture by turning it into a multi-disciplinary, collaborative team sport.

As USAA’s EA/BTM practice continues to progress, he says, “the biggest benefit will be through the delivery of better business outcomes, through the reduction of redundancy and risks and sharing costs”.

It’s a far cry from being seen as an ivory tower exercise – and the key has been focusing on the needs of business users at all levels and delivering architectures in a form they can use.

To watch a replay of Michael Pemberton’s webinar, click here

Categories Uncategorized

Battling Regulatory Pressures in Life Sciences

It’s no secret that Life Sciences is one of the most highly regulated industries with ever-increasing obligations and scrutiny. As these requirements increase it is essential that you are prepared for changes that you can expect will continue to come. Life Sciences companies should build into their operational structure a plan for continuous change and […]

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From business-model to enterprise-architecture

Okay, I think I’m finally getting somewhere, on looking for a way to connect a business-model to enterprise-architecture, to provide a full link between top-down intent and bottom-up real-world constraints.
This specific part goes from the business-model downwards, from Business Model Canvas to Archimate, and thence to BPMN, UML and other detail-layer models. (There’s another part […]

Towards Next Generation Process Execution

A considerable part of my professional time is spent on advising people on discovering, redesigning, and — if possible and feasible — automating their business processes. Often, trivial, cumbersome, and predictable processes can be formalised and executed using a process engine (also known as BPMS, Business Process Management Suites). Process execution is usually combined with an enterprise service bus (ESB) or middleware layer, which supplies data sources and exposes business transactions to the process layer in an open, reusable, and interoperable fashion.

BPMS is by no means a new concept. Most contemporary BPMS platforms began as workflow engines and CASE (Computer-Aided Software Engineering) tools, which subsequently found valuable use in the rising Java EE and enterprise application integration (EAI) markets of the 90’s and onwards. This, combined with an increasing interest in information management and enterprise integration, spawned today’s plethora of repository based modelling tools, sophisticated middleware technology, and process execution platforms.  

Looking into the crystal ball of process automation, what automation technologies can enterprises expect to see in the years to come? Now, here, any average IT analyst would probably come up with three all-too-often-adopted shrinkwrapped concepts:
  1. Cloud computing
  2. X-as-a-service
  3. Agile
In order to actually coming up with something original or different, I have deliberately omitted these three words in this blog entry. That is not to say that these trends aren’t influential or important, but they have already been stated elsewhere in thousands of blog posts, whitepapers, and academic papers. In the following sections I will present my stance towards aspects of next generation process automation.
Closed-Loop Roundtrip Engineering
Several toolchains support the so-called ‘roundtrip’ between repository-based enterprise modelling tools and implementation level process development tools. Too often this is a one-way exercise in which business processes are modelled by the business analyst, approved by the process owner and then exported to execution by the solution architect. However, once the process model hits the implementation floor, governance, roundtrip, and traceability are cut off. The process model is now materialised as source code rather than a visual model.

An improved, closed-loop roundtrip approach would most likely solve this bridge by making the process integration point both ways. This calls for an improved bridging strategy between the two worlds so they ultimately merge into one. That is not to say that the designed process model must equal the executable process model — the enterprise repository should still provide different, role-based views onto the same processes. The tipping point that I am arguing is that full traceability from model to execution demands to-way traceability and unified single-interface version control of all artefacts.
Light-weight Executable Process Models
Modelling standards such as BPMN 2.0 (Business Process Modelling Notation) claim to provide single, uniform language for modelling manual, semi-automated, and fully automated business processes. However, as several process practitioners have already emphasised, the notation is still far too rich and complex for non-technical professionals and businesspeople to fully comprehend. It is as if the notation, indulging in its own ambitions and adoption, has widened its gap too far and suddenly struggles to articulate all possible aspect of a process.

SOA practitioners struggled with the same complexity problems in the early 2000’s. Everywhere, new and half-baked service standards emerged, and some “standards” even offered duplicate functionality. For SOAP, what was meant to be a simple protocol for exchanging messages had now morphed into a wilderness of WS-* standards, policy documents, and pseudo recommendations. As a counter effect, REST (Representational State Transfer) was adopted as a viable, lightweight, and easy-to-implement alternative to the WS-* conglomerate. REST’s elegance was its simplicity, very similar to how the simplicity of the TCP and IP network protocols defeated complex, proprietary network protocols such as DECNET and Tymnet. Useful, open standards are easy to simple and easy to understand and communicate. WS-* was by no means a lightweight stack, just as BPMN 2.0 is too rich to be truly elegant.

What BPMS needs is a process modelling notation that is just as elegant as REST and TCP. The simpler notation, the easier it is for business analysts to pick up the notation and understand a particular model. Fewer moving parts and modelling exceptions also implies that the designed process is easier to execute. Consider the source code necessary for parsing a WSDL schema with surrounding WS-Security artefacts compared to lines of code necessary to retrieve and parse a JSON data structure across a TLS-encrypted wire. For execution, a light-weight process model format with different role-based process architecture views are necessary accommodate for easy-to-communicate and easy-to-execute processes models. 

Process Variations
My third idea is the notion of modelling and execution of process variants. Several enterprise modelling tools (such as ARIS) support the idea of variant artefacts, which allows for a configuration item to be traced back to its reference artefact. This is particularly useful when mapping a process model or architectural layer against a set of reference architectures, which in turn allows for quick discovery and gap analysis of compliance requirements.

However, for some reason this idea has yet not made its way to process execution land. The majority of BPMS platforms treat process models as isolated, transactional entities. References are done by related events or drilling into sub process models. Process layering and variation are completely unknown concepts in the world of execution, despite its inherent adoption in enterprise modelling. Many enterprises struggle with the need for selecting and executing a particular process variant depending on a set of pre-conditions, whilst still being able to reflect that the instance belongs to a particular group of variants. An executable billing process might vary slightly depending on the type of the client currently being billed, but the process is still the billing process. Integrating process variations in BPMS theory adds depth and context to the executable process models, as opposed to pure, isolated workflows.

Process Regulation and Self-Reference 
The research field of control theory and cybernetics has for long explored the properties of self-organising systems, which respond in a meaningful way to outside stimuli. Examples of cybernetic systems are everything from simple thermometers to complex jet fighter engines, which monitor and regulate their current state depending on the environment (such as temperature or altitude). Similarly, researchers in business process management (BPM) and process engineering have explored the idea of self-regulating processes: business processes that monitor, adjust, and control their own state, activity, and performance based on the general condition of the overall enterprise. In manufacturing this would be a process, which adjusts its production throughput automatically based on recent market trends received from the business intelligence system. Sales processes adjust their current inventory data based on market forecasts triggered by an external supplier. Car manufacturing robots do just-in-time adjustment of assembly line activity after observing a major slump in the stock market five minutes ago. The modern enterprise is event-driven, interconnected, and immediately responsive. However, in order for business processes to exploit this opportunity they need to become self-regulating or “self-aware.” Executable processes must be able to adjust their own complex states based on listeners and triggers from external events. This technology demands sophisticated complex event processing and a meta-process environment, which allows for easy and dynamic reconfiguration of process model layout, design, and performance based on external data. The change in state should not be limited to a pre-configured set of process patterns. Process models and metadata should automatically infer new possible process designs and subsequently select the most plausible design based on previous design choices, feedback, and execution data. 


To Be Continued
These considerations are only a small part of the ideas I have been collecting for next generation process automation, which could very well evolve into a general research programme on the future of BPMS. It is my opinion that we have reached a solid state of enterprise integration tools and middleware platforms. However, BPMS theory and practice is still in a state of flux: shiny new tools emerge every day, but fact is that we have very little experience with designing, deploying, and maintaining complex, large-scale process applications. Granted the general principles of software engineering and IS development theory still apply: effectively, most process applications involve enterprise systems in the large with a vast amount of moving parts and integration points. However, in order to successfully respond to the increasingly rapid markets and requirements change, we need faster, simpler, context-aware, and interconnected BPMS platforms driven by self-regulation and complex event processing. In my upcoming blog posts I will write more on this topic.

Towards Next Generation Process Execution

A considerable part of my professional time is spent on advising people on discovering, redesigning, and — if possible and feasible — automating their business processes. Often, trivial, cumbersome, and predictable processes can be formalised and executed using a process engine (also known as BPMS, Business Process Management Suites). Process execution is usually combined with an enterprise service bus (ESB) or middleware layer, which supplies data sources and exposes business transactions to the process layer in an open, reusable, and interoperable fashion.

BPMS is by no means a new concept. Most contemporary BPMS platforms began as workflow engines and CASE (Computer-Aided Software Engineering) tools, which subsequently found valuable use in the rising Java EE and enterprise application integration (EAI) markets of the 90’s and onwards. This, combined with an increasing interest in information management and enterprise integration, spawned today’s plethora of repository based modelling tools, sophisticated middleware technology, and process execution platforms.  

Looking into the crystal ball of process automation, what automation technologies can enterprises expect to see in the years to come? Now, here, any average IT analyst would probably come up with three all-too-often-adopted shrinkwrapped concepts:
  1. Cloud computing
  2. X-as-a-service
  3. Agile
In order to actually coming up with something original or different, I have deliberately omitted these three words in this blog entry. That is not to say that these trends aren’t influential or important, but they have already been stated elsewhere in thousands of blog posts, whitepapers, and academic papers. In the following sections I will present my stance towards aspects of next generation process automation.
Closed-Loop Roundtrip Engineering
Several toolchains support the so-called ‘roundtrip’ between repository-based enterprise modelling tools and implementation level process development tools. Too often this is a one-way exercise in which business processes are modelled by the business analyst, approved by the process owner and then exported to execution by the solution architect. However, once the process model hits the implementation floor, governance, roundtrip, and traceability are cut off. The process model is now materialised as source code rather than a visual model.

An improved, closed-loop roundtrip approach would most likely solve this bridge by making the process integration point both ways. This calls for an improved bridging strategy between the two worlds so they ultimately merge into one. That is not to say that the designed process model must equal the executable process model — the enterprise repository should still provide different, role-based views onto the same processes. The tipping point that I am arguing is that full traceability from model to execution demands to-way traceability and unified single-interface version control of all artefacts.
Light-weight Executable Process Models
Modelling standards such as BPMN 2.0 (Business Process Modelling Notation) claim to provide single, uniform language for modelling manual, semi-automated, and fully automated business processes. However, as several process practitioners have already emphasised, the notation is still far too rich and complex for non-technical professionals and businesspeople to fully comprehend. It is as if the notation, indulging in its own ambitions and adoption, has widened its gap too far and suddenly struggles to articulate all possible aspect of a process.

SOA practitioners struggled with the same complexity problems in the early 2000’s. Everywhere, new and half-baked service standards emerged, and some “standards” even offered duplicate functionality. For SOAP, what was meant to be a simple protocol for exchanging messages had now morphed into a wilderness of WS-* standards, policy documents, and pseudo recommendations. As a counter effect, REST (Representational State Transfer) was adopted as a viable, lightweight, and easy-to-implement alternative to the WS-* conglomerate. REST’s elegance was its simplicity, very similar to how the simplicity of the TCP and IP network protocols defeated complex, proprietary network protocols such as DECNET and Tymnet. Useful, open standards are easy to simple and easy to understand and communicate. WS-* was by no means a lightweight stack, just as BPMN 2.0 is too rich to be truly elegant.

What BPMS needs is a process modelling notation that is just as elegant as REST and TCP. The simpler notation, the easier it is for business analysts to pick up the notation and understand a particular model. Fewer moving parts and modelling exceptions also implies that the designed process is easier to execute. Consider the source code necessary for parsing a WSDL schema with surrounding WS-Security artefacts compared to lines of code necessary to retrieve and parse a JSON data structure across a TLS-encrypted wire. For execution, a light-weight process model format with different role-based process architecture views are necessary accommodate for easy-to-communicate and easy-to-execute processes models. 

Process Variations
My third idea is the notion of modelling and execution of process variants. Several enterprise modelling tools (such as ARIS) support the idea of variant artefacts, which allows for a configuration item to be traced back to its reference artefact. This is particularly useful when mapping a process model or architectural layer against a set of reference architectures, which in turn allows for quick discovery and gap analysis of compliance requirements.

However, for some reason this idea has yet not made its way to process execution land. The majority of BPMS platforms treat process models as isolated, transactional entities. References are done by related events or drilling into sub process models. Process layering and variation are completely unknown concepts in the world of execution, despite its inherent adoption in enterprise modelling. Many enterprises struggle with the need for selecting and executing a particular process variant depending on a set of pre-conditions, whilst still being able to reflect that the instance belongs to a particular group of variants. An executable billing process might vary slightly depending on the type of the client currently being billed, but the process is still the billing process. Integrating process variations in BPMS theory adds depth and context to the executable process models, as opposed to pure, isolated workflows.

Process Regulation and Self-Reference 
The research field of control theory and cybernetics has for long explored the properties of self-organising systems, which respond in a meaningful way to outside stimuli. Examples of cybernetic systems are everything from simple thermometers to complex jet fighter engines, which monitor and regulate their current state depending on the environment (such as temperature or altitude). Similarly, researchers in business process management (BPM) and process engineering have explored the idea of self-regulating processes: business processes that monitor, adjust, and control their own state, activity, and performance based on the general condition of the overall enterprise. In manufacturing this would be a process, which adjusts its production throughput automatically based on recent market trends received from the business intelligence system. Sales processes adjust their current inventory data based on market forecasts triggered by an external supplier. Car manufacturing robots do just-in-time adjustment of assembly line activity after observing a major slump in the stock market five minutes ago. The modern enterprise is event-driven, interconnected, and immediately responsive. However, in order for business processes to exploit this opportunity they need to become self-regulating or “self-aware.” Executable processes must be able to adjust their own complex states based on listeners and triggers from external events. This technology demands sophisticated complex event processing and a meta-process environment, which allows for easy and dynamic reconfiguration of process model layout, design, and performance based on external data. The change in state should not be limited to a pre-configured set of process patterns. Process models and metadata should automatically infer new possible process designs and subsequently select the most plausible design based on previous design choices, feedback, and execution data. 


To Be Continued
These considerations are only a small part of the ideas I have been collecting for next generation process automation, which could very well evolve into a general research programme on the future of BPMS. It is my opinion that we have reached a solid state of enterprise integration tools and middleware platforms. However, BPMS theory and practice is still in a state of flux: shiny new tools emerge every day, but fact is that we have very little experience with designing, deploying, and maintaining complex, large-scale process applications. Granted the general principles of software engineering and IS development theory still apply: effectively, most process applications involve enterprise systems in the large with a vast amount of moving parts and integration points. However, in order to successfully respond to the increasingly rapid markets and requirements change, we need faster, simpler, context-aware, and interconnected BPMS platforms driven by self-regulation and complex event processing. In my upcoming blog posts I will write more on this topic.