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How to avoid common mistakes with your EA program – Part III

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Part III: Just say no to modelling the universe

by: Bill Cason – Troux CTO – July 31st, 2012 

Gathering and assessing data can be quite seductive. But it’s the equivalent of modelling theNO
universe,
and it’s a recipe for disaster. In fact if we see any problem today in our EA deployments, it’s that people get so excited they want to gather all their data at once. This is the last of the Top Three common mistakes Enterprise Architects (EAs) make when starting (or re-starting) a program. I call this “Building the Answer Machine” – and it doesn’t work.

In this scenario, you are asking people for more data than you need, without any scope control or business value focus. Obviously you don’t want to collect data, just to see what you can find.

Instead, consider these three recommendations when embarking on a data gathering effort. They will help you successfully identify and gather the data that is most important to your business.  #1- Leverage a wider team with a focus on business value to help you identify which data is critical.  #2- Automate as much of the data collection process as possible. #3- Market your success internally so that contributors appreciate the fruits of their labor and are more inclined to embrace the data gathering effort moving forward.   

Leverage a wider team

You will have lots of stakeholders and constituencies requesting answers. You can quickly lose sight of being able to deliver value in a timeframe that is acceptable to management. Queuing up priorities and managing scope control is hugely important. Otherwise you will have plenty of stakeholders disappointed by your inability to answer their questions.

The EA team is responsible for creating business value with the information that is collected. But don’t waste EA resources gathering that information. With executive sponsorship in place, the enterprise will see it as a priority to identify data stewards.  The data stewards will then provide the required data you could not automatically collect.  This in turn ensures EA resources are focused on analyzing the quality of the information, and identifying gaps in order to initiate the decision-making process. 

Automate data collection process

Based on my team’s experience, as much as 80 percent of the information required to initiate an EA program already exists in the enterprise. In many cases, you can automatically collect important information from other IT and business planning repositories so you don’t have to expend human resources to find what’s already being managed.  That said, stay focused on collecting only the information necessary to answer the high priority questions  your business wants to address.

Market your success

Don’t forget to market your success internally. You secured support from the organization by promising something good for them, so make sure you go back and tell them you did it. Then the organization as a whole can share in your success. 

When you gather all this information and start to see results – in this case the answers to critical business questions – share those results.

Remember, the data acquisition process is accretive. The data you get to answer the first set of questions becomes foundational for answering the second set of questions. You don’t use information, throw it away and stop asking questions. By involving the wider team, you empower and encourage people to embrace the EA processes and use the output to change the business. 

We already know that organizational change is one of the hardest challenges any company can embark upon. Ensure you are taking the right steps by aligning a wider team to provide information, automating the data collection process, and marketing your success internally. The EA practice can then deliver true organizational change in a focused and organized manner, on a timeline management expects, and with the support of both your executive sponsor and the whole of the enterprise.

Read other articles in this three-part series: How to avoid common mistakes with your EA Program:

 

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The value of an Interface Catalogue

See also my more recent blog post http://coredataintegration.isys.bris.ac.uk/2013/06/16/important-documentation-for-soa-the-interface-catalogue-and-data-dictionary/ Part of Enterprise Architecture activity involves examining the “As Is” in terms of the organisation’s systems architecture and developing a vision and specification of the “To Be” systems architecture. Many systems are integrated with each other in terms of data – data is ideally stored once and […]

The value of an Interface Catalogue

See also my more recent blog post http://coredataintegration.isys.bris.ac.uk/2013/06/16/important-documentation-for-soa-the-interface-catalogue-and-data-dictionary/ Part of Enterprise Architecture activity involves examining the “As Is” in terms of the organisation’s systems architecture and developing a vision and specification of the “To Be” systems architecture. Many systems are integrated with each other in terms of data – data is ideally stored once and […]

Using Cobit 5 – Part 2: Policy Nomenclature

As discussed in Part 1, for me the primary value in Cobit 5 is the formalization of policy as a concept that has a life cycle and management process. In CBDI-SAE we have focused very strongly on defining the policy hierarchy and instances as the mechanism by which consistency is delivered and governed. Consequently over the years I have been critical of Cobit 4.1 because it was essentially promoting process based governance – if you are executing this process, with some nodding in the direction of general outcomes, then everything’s OK.

So I am very pleased to see policy introduced in a more coherent manner in Cobit 5. The 4.1 definition of policy was: “Generally, a document that records a high-level principle or course of action that has been decided upon. A policy’s intended purpose is to influence and guide both present and future decision making to be in line with the philosophy, objectives and strategic plans established by the enterprise’s management teams.”

In Cobit 5 the definition changes to: “Overall intention and direction as formally expressed by management.” This is better, but still not quite there. Contrast it with the CBDI-SAE definition: “A strategy or directive defined independently from how it is carried out.” I could ask what does management mean? If it was really necessary to include, then a reference to Governance Board, Design Authority or equivalent might have been helpful.

However, minor irritations aside, what Cobit 5 does is lay down a clear requirement for policy “to be part of an overall governance and management framework providing a (hierarchical) structure into which all policies should fit and clearly make the link to the underlying principles”. Further Cobit 5 separates Policy from Principle – a very important step. Also very sensibly Cobit 5 does not attempt to define policy instances, nor indeed the hierarchy and this allows specialists (such as ourselves) to map and or align our pre-existing hierarchy to the Cobit framework. I will return to and expand upon the hierarchy in the next part of this series. But first I want to consider policy nomenclature and structure in a little more depth.

Cobit 5 says “Policies provide more detailed guidance on how to put principles into practice . . .” This is potentially misleading. Yes policies are practical strategies and directives that support and realize principles, but to suggest they must be detailed is incorrect. Good policies should be formed as assertions that are true or false and should not be detailed with “how” they are achieved. The best policies are those that are mandatory – providing unequivocal direction to architects and service delivery teams. The detail is best left to Guidelines – or recommendations that indicate use of patterns and practices.

This simple error in Cobit 5 is actually a fundamental flaw that I would like to see fixed. Time and time again I come across confusion over the nomenclature being used by our clients to support governance. Confusion in this area leads to poor  implementation and inconsistent governance. The terms policy, standard and guideline are very commonly used, but frequently mean very different things.

In this context, the good news is Cobit 5 has at least defined policy as the overall intention and direction. I will certainly be using this to advise my clients to standardize on this terminology. Guidelines should then be regarded as practice recommendations. These are not policies with a lower level of mandatory status. At some stage they may evolve to become policies, but not necessarily.

Standards are perhaps a little easier. The CBDI-SAE definition is “A collection of rules or practices which are relevant in Service Architecture or Engineering.” And for good measure the meta type Protocol is a subtype of Standard. Standards therefore are clearly defining the mandatory requirement to comply with specific protocols and practices in given contexts.

To summarize, Cobit 5 is a major step forward. It encourages a policy framework and nomenclature standardization on “policy” for the major directives and strategy assertions and doesn’t preclude complementary Guidelines and Standards under a common management process. In addition Cobit 5 provides the outline framework for development of a policy hierarchy and policy instances, which I will cover in some detail in the next part of this series of blogs.

References: Using Cobit 5 – Part 1 – Principles
                   Using Cobit 5 – Part 3 – The Policy Hierarchy