Out-of-the-box metamodel for the Data Helpdesk
The Data Helpdesk has specific asset types and domain types.
Asset types
The following table contains out-of-the-box asset types that are relevant for Data Helpdesk.
| Asset type | Asset type | Description |
|---|---|---|
|
Data Concept
|
Business Asset Data Concept Business Dimension ![]() |
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). |
|
Data Domain
|
Business Asset Data Domain Business Dimension ![]() |
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.) |
|
Data Subject Category
|
Business Asset
Business Dimension ![]() Data Subject Category |
A way in which a user can manually interact with data at rest to manipulate or consolidate it. |
|
Jurisdiction
|
Business Asset
Business Dimension ![]() Jurisdiction |
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. |
|
Processing Category
|
Business Asset
Business Dimension ![]() Processing Category |
A category of processing activities determined by the actions taken during the processing activity. |
|
Data Attribute
|
Data Asset Data Attribute Data Element ![]() |
A specification that defines a property of a data entity. Examples: CustomerBirthDate, EmployeeFirstName |
|
Data Quality Job
|
Data Asset Data Quality Job![]() |
Representation of a job executed in Data Quality & Observability Classic. |
|
Data Set
|
Data Asset Data Set![]() |
A collection of related sets of data assets that are data elements or composed of data elements. Example: Customer Contact information |
|
Data Entity
|
Data Asset Data Entity Data Structure ![]() |
A unit of data that can be classified and can have a stated relationship to other units of data. Examples: Customer, Employee |
|
Data Model
|
Data Asset Data Model Data Structure ![]() |
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 |
|
Data Usage
|
Data Asset Data Usage![]() |
An asset that clearly documents how the data can be used between data producers and consumers for specific purposes. Example: Sales growth information that is available to share for read-only requirements. |
|
Assessment Review
|
Governance Asset
![]() Assessment Review |
An asset of this type is created when an assessment is conducted on an asset and submitted for review. |
|
Control
|
Governance Asset
![]() Control |
A measure taken to mitigate a risk. Any process, policy, device, practice, or other conditions and/or actions that maintain and/or modify risk. |
|
Data Quality Dimension
|
Governance Asset Data Quality Dimension![]() |
Represents criteria that are relevant for assessing quality and categorizes different aspects of how data quality is measured. Examples: accuracy, completeness, consistency |
|
Issue Category
|
Governance Asset Issue Category![]() |
Allows you to categorize Issue type assets to help with organization and reporting. Example: You want to differentiate between types of issues, such as a Duplication issue or a Completeness issue. |
|
Legal Basis
|
Governance Asset
![]() Legal Basis |
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. |
|
Managed Control
|
Governance Asset
![]() Managed Control |
Managed Control is a control that is actively monitored and validated through automation to ensure ongoing compliance and effectiveness. |
|
Regulation
|
Governance Asset
Policy ![]() Regulation |
A directive made and maintained by an authority, for example, BCBS and Solvency. |
|
Purpose
|
Governance Asset
![]() Purpose |
An asset that describes the reason for which another asset is created or for which another asset exists. |
|
Risk
|
Governance Asset
![]() Risk |
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. |
|
Data Quality Metric
|
Governance Asset Data Quality Metric Rule ![]() |
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. |
|
Data Quality Rule
|
Governance Asset Data Quality Rule Rule ![]() |
A specification that defines which actions are required to measure the quality level of a data element for its intended use. Example: SSN must be a unique 9-digit identification number for 100% of US personal accounts for tax processing. |
|
Issue
|
Issue
|
The parent asset type of all issues. |
|
Data Issue
|
Issue Data Issue![]() |
A problem related to issue management, also referred to as "issue". |
Domain types
The table below contains the out-of-the-box domain types that are relevant for the Data Helpdesk.
Use these options to filter the rows and columns of the table to your needs:
Workflows
The table below contains the out-of-the-box workflows that are relevant for the Data Helpdesk.
Business Dimension