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15 June 2020 Monday

BA Technique: Decision Modelling

By IISCM
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Purpose

Decision Modelling shows how repeatable business decisions are made.

Business Analysis Body of Knowledge® (BABOK®)

The Decision model provides the framework for organizing business rules into well formed decision based structures that are predictable, stable, maintainable, and normalized. Decision modelling directly correlates with the business logic and allowing it to be used as a lever for changing business objectives and market place demands. The decision model is the list of business rules that is represented in a structural design of the business problem. The decision model is an intellectual template for perceiving, organizing, and managing the business logic behind the business decision. The business logic is a prescription way that the business experts want to evaluate the facts in order to arrive at the solution where the solution has both meaning and value to the business. The decision model can be translated into one or more solutions through appropriate design Methodologies.

Decision modelling show how data and knowledge are combined to make a specific decision. It can be used for both straight forward and complex decisions. The straight forward decision models uses a single decision table to show how a set of business rules that operate on a common set of data elements combine to create a decision. The complex decision models break down the decisions into individual components so that each piece of decision can be separately described and the model shows how these pieces are combined to make an overall solution. A comprehensive decision modelling is linked to processes, performance measures, and organizations. The business rules used in decision modelling are may be definition or behavioral.

Some of the articles related to Decision modelling techniques are as follows,

There are several different approaches for decision modelling. All these approaches involve three main key element such as decision, information, and knowledge. Some of the approaches are,

Decision Table - It represents all the business rules required to make an decision. It generally contain one or more condition that map to specific data element. The value of the data elements in the decision table are evaluated.  

Decision Trees - It is also used to represent a set of rules. The levels are used in the decision tress, each level in the tree represents a specific data element. It can be very effective for representing certain kind of rule sets, which are related to the customer segmentation.

Decision Requirements - It is the visual representation of information, knowledge, and decision making involved in the business decision. It contains the elements such as decision, input data, business knowledge models, and knowledge sources. These elements are linked together into a network, to decompose the complex decision making into simpler decision building blocks.

Decision Modelling Notations - It is a standard approach for describing and modelling the repeatable decisions within the organizations to ensure that decision models are inter changeable across the organization. It provides the industry with modelling notation for decisions that will support decision management and business rules. This enables the groups to effectively collaborate in defining a decision model.

Advantages of using decision modelling are,

  • It is easy to share and facilitate a shared understanding with the stakeholders.
  • Simplifies the complex decision making processes.
  • It will work on rule based automation, data mining, and predictive analysis.
  • Manage large number of rules in the decision table and also helps to reuse.
  • Multiple Perspectives can be shared and combined.

Some of the books for Decision modelling techniques,

 

 

Written by IISCM

Integrated Institute of Supply Chain Management, a unit of Fhyzics Business Consultants Private Limited specialising in supply chain management consulting and education. IISCM trains and certifies SCM professionals in procurement, supply chain management, inventory, and warehousing.

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