Modelling Techniques

“A concept model starts with a glossary, which typically focuses on the core noun concepts of a domain. Concept models put a premium on high-quality, design independent definitions that are free of data or implementation biases. Concept models also emphasize rich vocabulary. A concept model identifies the correct choice of terms to use in communications, including all business analysis information. It is especially important where high precision and subtle distinctions need to be made.”
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“A hierarchical catalogue of business capabilities, or what the business does. Capabilities are categorized according to strategic, core, and supporting.”
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“Value mapping provides a holistic representation of the stream of activities required to deliver value. It is used to identify areas of potential improvement in an end–to–end process. Although there are several different types of value mapping, a value stream is often used in business architecture.”
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“A model that depicts the journey of a customer through various touch points and the various stakeholders within the service or organization. Customer journey maps are frequently used to analyze or design the user experience from multiple perspectives.”
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“An abstraction of the conceptual data model that incorporates rules of normalization* to formally manage the integrity of the data and relationships. It is associated with the design of a solution.”

*Normalization is a method used to reduce redundancy and inconsistency in a data model.
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“Process models describe the sequential flow of work or activities. A business process model describes the sequential flow of work across defined tasks and activities through an enterprise or part of an enterprise.”
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“Decision models show how data and knowledge are combined to make a specific decision. Decision models can be used for both straightforward and complex decisions. Straightforward decision models use a single decision table or decision tree to show how a set of business rules that operate on a common set of data elements combine to create a decision. Complex decision models break down decisions into their individual components so that each piece of the decision can be separately described and the model can show how those pieces combine to make an overall decision. The information that needs to be available to make the decision and any sub-decisions can be decomposed. Each sub-decision is described in terms of the business rules required to make that part of the decision.”
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