Out-of-the-box metamodel for Business Glossary

An asset type that is exclusively used and governed by the business user community. Its instance assets and all instances instantiating its subtypes pertain to the business organization. Business assets typically include business concepts such as Business Term, Business Process, and Line of Business, which help build the semantics of any organization with insufficient details to build an actual business application.

A system or program that can autonomously perform tasks, such as make decisions based on predefined rules or learned patters, or take actions to achieve specific goals.

A statistical model that is trained on datasets in order to make predictions on new data.

A specific application of artificial intelligence (AI) and AI Models trained on specific data in order to solve a business problem and deliver business value. Implementing AI Use Case may result in automating a task, improve decision-making, or develop new products and services.

A high-level theoretical representation of the most common data properties of a data domain. A data concept is the business counterpart of a data attribute in a logical data dictionary, just as a data attribute is the logical counterpart of a field or column in the physical data dictionary. (Example: an address is a data concept of the data domain customer or organization).

Also known as Data Category or Subject area, this is a container of all the business data domains and data concepts that encompass associated terminology and definitions that an organization is trying to govern. Examples: Master Data (Customer, Product), Reference Data. Business Data Domains group Data Concepts (Year, Date, Address, Name, etc.)

A way in which a user can manually interact with data at rest to manipulate or consolidate it.

A hierarchical representation of how a business divides its market on the basis of geography, such as regions and countries. For example, North America is segmented into USA and Canada.

A category of processing activities determined by the actions taken during the processing activity.

A word or phrase that describes a concept that is used in a particular branch of business.

Examples: customer, person purchase count, loan amount

An abbreviation of a business term that forms a word or a name. It is formed by stringing the initial components of a business term together. It is often pronounced as a word.

Examples: ERP, EDW, EAD

An asset type that is used for calculations, such as sum, count, average, minimum or maximum.

Examples: net sales, top customers, on-hand inventory

Key Performance Indicator, an indicator to periodically measure the success of or the progress towards a strategic goal of a particular activity or of an organization.

Examples: employee turnover, customer attrition, claims denial rate

A specification that defines a property of a data entity.

Examples: CustomerBirthDate, EmployeeFirstName

A collection of related sets of data assets that are data elements or composed of data elements.

Example: Customer Contact information

A unit of data that can be classified and can have a stated relationship to other units of data.

Examples: Customer, Employee

A diagram that organizes data elements and standardizes how the data elements relate to one another. The Data Model is often used as a communication aid between business and technology.

Examples: Customer Subject area model, Event Subject area model

An asset that clearly documents how the data can be used between data produces and consumers for specific purpose

Example: Sales growth information that is available to share for read-only requirements

An asset of this type is created when an assessment is conducted on an asset and submitted for review.

A measure taken to mitigate a risk. Any process, policy, device, practice, or other conditions and/or actions that maintain and/or modify risk.

Represents criteria that are relevant for assessing quality and categorizes different aspects of how data quality is measured.

Examples: accuracy, completeness, consistency

The lawfulness of processing, as defined by Article 6 of GDPR. Personal data may be processed only if, and to the extent that, at least one legal basis applies.

A directive made and maintained by an authority, for example, BCBS and Solvency.

An asset that describes the reason for which another asset is created or for which another asset exists.

An uncertain event that could create damage, injury, liability, loss or any other negative occurrence that is caused by external or internal vulnerabilities (Risk Sources), which can be avoided through controls.

An implementation of data quality rules in a selected physical database system using a particular data quality tool.

Example: CRM.ACT.Tx_ID cannot be null, must be a 9-digit number and has to take the 999-99-9999 format in the CRM system, and ERP.Cust.SSN has to take the 999999999 format in the ERP system.