3. Techniques
3.3 Concept Modelling
Guide to Business Data Analytics
3.3.1 Purpose
A concept model is used to organize the business vocabulary needed to communicate the knowledge of a domain consistently and thoroughly.
For more information, see A Guide to the Business Analysis Body of Knowledge (BABOK® Guide) v3, chapter 10.11.
A concept model is used to organize the business vocabulary needed to communicate the knowledge of a domain consistently and thoroughly.
For more information, see A Guide to the Business Analysis Body of Knowledge (BABOK® Guide) v3, chapter 10.11.
3.2.2 Business Data Analytics Perspective
In data analytics initiatives, concept models are used to describe a data solution from a business perspective including business context, business terms, and key concepts. They help determine scope and help identify interrelationships between the various components. Concept models are also useful as reference materials when identifying or planning for data sources and during data analysis to provide the business context to the data.
.1 Identify the Research Question
Concept models are typically created early in a data analytics initiative, when identifying the research question. They provide the analytics team with a way to represent the future state, described from a business perspective.
Key characteristics of concept models include:
Concept models are a useful resource when identifying either existing data sources or opportunities for new data sources. They also establish the relationships that exist between various data points.
.3 Analyze Data
Concept models provide the business view to the data and its relationships. They also act as base models when building on the logical and physical models.
.4 Interpret and Report Results
Concept Modelling does not have a significant role in the Interpret and Report Results domain. However, it can be used to illustrate complex business vocabulary that is part of the outcomes the team wishes to share with the rest of the organization.
.5 Use Results to Influence Business Decision-Making
Concept Modelling does not have a significant role in Use Results to Influence Business Decision-Makings domain. However, it can be used to visually simplify complex outcomes from the analytics effort.
.6 Guide Organization-Level Strategy for Business Analytics
Concept Modelling does not have a significant role in the Guide Organization- Level Strategy for Business Analytics domain. However, it can be used to illustrate or describe important information about the business analytics function.
In data analytics initiatives, concept models are used to describe a data solution from a business perspective including business context, business terms, and key concepts. They help determine scope and help identify interrelationships between the various components. Concept models are also useful as reference materials when identifying or planning for data sources and during data analysis to provide the business context to the data.
.1 Identify the Research Question
Concept models are typically created early in a data analytics initiative, when identifying the research question. They provide the analytics team with a way to represent the future state, described from a business perspective.
Key characteristics of concept models include:
- capturing key business entities such as:
- concepts,
- persons or roles,
- events, andplaces and any other business-specific items for which data needs to be captured.
- establishing the use of relevant business terms, rules, and concepts.
- containing both visuals and text to explain the model.
- accommodating future changes and expansions.
- describe use or application of key business terms, rules, and functionality, as well as interrelationships between business components,
- provide an initial, high-level assessment of data required for tracking,
- communicate and validate business scope with stakeholders,
- evaluate and modify existing research questions, as needed,
- act as a base model for other more technical, logical, and physical models,
- establish a strong starting point for requirements analysis and design, and
- serve as a reference document that can be revisited for future purposes (for example, when a solution needs to undergo complex changes).
Concept models are a useful resource when identifying either existing data sources or opportunities for new data sources. They also establish the relationships that exist between various data points.
.3 Analyze Data
Concept models provide the business view to the data and its relationships. They also act as base models when building on the logical and physical models.
.4 Interpret and Report Results
Concept Modelling does not have a significant role in the Interpret and Report Results domain. However, it can be used to illustrate complex business vocabulary that is part of the outcomes the team wishes to share with the rest of the organization.
.5 Use Results to Influence Business Decision-Making
Concept Modelling does not have a significant role in Use Results to Influence Business Decision-Makings domain. However, it can be used to visually simplify complex outcomes from the analytics effort.
.6 Guide Organization-Level Strategy for Business Analytics
Concept Modelling does not have a significant role in the Guide Organization- Level Strategy for Business Analytics domain. However, it can be used to illustrate or describe important information about the business analytics function.
