| Description | Data Asset Assurance establishes trust in the quality of Information Assets by means of Business Object Assurance Cases. |
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| Dictionary |
Dictionary of SysFEAT concepts |
| Parent Domain |
Data Governance |
| Domain dependencies |
Data Governance Core
Data Provenance & Reliability Assurance
Deployed Facility Assets
EA Pattern - Business System Operating Model
EA Pattern - Physical Data Domain
Enterprise Glossary
Model Block Packaging
Physical Data Domain |
| Concept | Description |
|---|---|
Average Value |
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Business Object Assurance Case |
A Business Object Assurance Case is a Data Assurance Case related to a critial Domain Asset. Its purpose is to defined the quality and integrity rules that apply to a Domain Asset in each business contexts such as activity domains on the enterprise. |
Creation Date |
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Data Catalog |
A Data Catalog is an Assurance System of Data Assets, ensuring understanding, trust, compliance and confidence of enterprise data. This includes: 1. Relationship with Enterprise Glossary to provide business context to metadata. 2. Data policy definition and enforcement to ensure data quality. 3. Data Lineage to master data provenance: where data comes from, how data is transformed, and where it is used. |
Data Control |
A Data Control is about tracking the quality of information as defined by Data Quality Policy(ies). |
Data Field Snapshot |
A Data Field Snapshot is status of a NoSQL Field a the time of data discovery. it provides factual information such as , Minimum Value, Maximum Value, etc. Data Field Snapshots are used for quality assessments in data governance. |
Data Inventory Snapshot |
A Data Inventory Snapshot the state a Deployed Data Store at a given period. This state comprises the status of all monitored NoSQL Datasets and of the value slot owned by these NoSQL Datasets. |
Data Quality Risk Type |
A Data Quality Risk Type is a Data Risk Type is a |
Data Set Snapshot |
A Data Set Snapshot is status of a NoSQL Dataset a the time of data discovery. It provides factual information on the NoSQL Dataset such as Number of Unique Values, Number of Entities, Number of Completed Records, etc. Data Set Snapshots are used for quality assessments in data governance. |
Deployed Data Store |
A Deployed Data Store is a repository for storing, managing and distributing data sets on an enterprise level. It is a broad term that incorporates all types of data that is produced, stored and used by an organization. Deployed Data Stores exist wihin a Data Center. They can be hosted on Deployed Server.
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Governance Committee |
A Governance Committee is a group of Stakeholders that contributes to architecting and assurance activities and governs Enduring Initiatives. |
Individual Stakeholder |
An Individual Stakeholder is a person with a Stakeholder role in architecting & assurance activities. |
Information Entity Component Data Type |
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Inventory Period |
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Last Modified Date |
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Management Initiative Committee |
A Management Initiative Committee is a Governing Team responsible for overseeing the administration of a Management System. |
Maximum Value |
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Median Value |
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MetaData Schema |
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Minimum Value |
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NoSQL Dataset |
A NoSQL Dataset is a Physical Data Entity that represents the structure of a collection of related data held in a data source. The represented data structure can be relational (Table) or NoSQL (triple store, document store, flat files, etc.). A NoSQL Dataset consists of three types of NoSQL Field: 1) An Identification MetaField, sometimes called "primary key". 2) Relationship MetaFields used to represent relationships with other NoSQL Datasets. 3) Value MetaFields used to store values in the NoSQL Dataset. NoSQL Datasets can be defined at design time in the context of data architecture activities. They can also be imported automatically through data discovery.
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NoSQL Dictionary |
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NoSQL Library |
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Number of Completed Records |
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Number of Distinct Values |
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Number of Entities |
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Number of Nulls |
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Number of Unique Values |
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Primitive Type |
A Primitive Type is a NoSQL Field that represents a data format such as "string", "integer". |
Simple Field |
A Simple Field is a NoSQL Field that represent a single piece of data. A Simple Field cannot be decomposed. Simple Fields are often described by their name, primitive type and length. For instance, "customer name", "customer id" and "stree number" are usually considered as Simple Fields. |
Software Technology |
A Software Technology is an elementary Software Technology System used as an enabler by Software Modules. Examples : - Application server, - Message server, - Storage, - Business information sharing, - Operating systems, - Navigators, etc |
Structured Field |
A Structured Field is a NoSQL Field which is a combination of other NoSQL Fields. For instance, an address in composed of a street field, a city field and a country field. |
Syncrhonization |
| Concept | Description |
|---|---|
Assurance System |
An Assurance System is a Management System aimed at ensuring enterprise compliance, resilience, and risk mitigation against both internal and external Policys and threats. It encompasses processes, Directives and technologies that work in concert to validate enterprise adherence to policy requirements, industry standards, and internal policies while simultaneously bolstering the enterprise's ability to withstand and adapt to various challenges and disruptions. ensuring enterprise compliance and resilience against internal and external constraints: a. Regulation constraints: they defined what is allowed and not allowed by the law (See Regulation Article). b. Internal policies and rules constraints: they defined what is allowed and not allowed by the enterprise (see Business Policy). c. Operational constraints: they maintain operational capacities of the company (maintain ability to produce, maintain quality, ensure product development , ability to hire, to train, etc, see Business Rule). d. Architectural constraints: they guide design decisions and shape the overall structure of a system (see Architecture principle). |
Concept Domain Map |
A Concept Domain Map is a top level assembly of Concept Domains that defines the scope of information that Management System is responsible of. |
Data Assurance Case |
A Data Assurance Case is a structured argument, supported by evidence, intended to justify that a data is acceptably assured relative to a concern (such as quality, safety, security or privacy) in the intended operating environment. The operating environment includes: 1. Policies related to the use of data in the organization (privacy policy, regulation policy, ...). 2. Data quality policies defined by the organization. 3. Risk to be mitigated in the use, consumption and sharing of data by the organization. 4. Control directives to be followed in the use, consumption and sharing of data by the organization.
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Data Assurance Instrument |
A Data Assurance Instrument is a resource or course of actions used by an Data Catalog to achieve its objectives. For instance: Actions plans are course of actions aimed at solving Data breaches. Data Controls are mechanisms used to ensure data quality and data integrity Data Processors are used to processings involved in Data Lineages. |
Data Risk Type |
A Data Risk Type is a Risk Type that refers to the accuracy, consistency, and reliability of data during its entire lifecycle. |
Data Source Snaphot Item |
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Domain Asset |
A Domain Asset is the representation of any type of tangible or intanglible resource, or its respective state, that is critical for comprehending an enterprise, including its data, resources, and activities. Similar to any Information Asset, a Domain Asset can be classified into three categories: 1) Conceptual Entitys denote entities that can change over time. 2) Event Concepts embody the temporal boundaries associated with Conceptual Entitys. 3) Concept Propertys represent immutable characteristics of Conceptual Entitys. |
Management System |
A Management System is a mezzo Enduring Initiative within an Enterprise, aimed at creating, maintaining, evaluating, evolving, and operating a collection of essential Functional Architecture Assets of the Enterprise. A Management System may transcend organisational boundaries and consequently requires an integrated team working under the direction of a Management Initiative Committee. |
NoSQL Data Asset |
A NoSQL Data Asset is a Physical Data Asset used for the physical description of data consumed and produced by Software Systems. NoSQL Data Assets range from NoSQL Data Schemas to NoSQL Fields. They are defined in MetaData Dictionary(ies) and managed in Data Catalogs. |
NoSQL Element |
A NoSQL Element is Physical Data Asset that represents an element of a physical schema as it will be stored in relational or non relational DBMS (NoSQL, triple store, document store, flat files, etc.). A NoSQL Element is either a NoSQL Dataset or a NoSQL Field. |
NoSQL Field |
A NoSQL Field is a Physical Data Property that is the specification of the content of a NoSQL Dataset. NoSQL Fields can be "reused" by multiple NoSQL Datasets where they play the role of Identification MetaField, Relationship MetaField or Value MetaField. A NoSQL Field can be : 1) a Primitive Type that defines the data type of a field, such as "string" or "integer". 2) a Simple Field that defines a simple value such as "customer name" or "delivery date". Simple Fields are often described by their name, primitive type and length. 3) a Structured Field that defines complex values such as "address". |
Organization |
An Organization is a group of people who share a common purpose and establish a functional division of labor in pursuit of their common purpose. It is the relationships between its members in the pursuit of their common purpose that give unity and identity to an organization.
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