Technology

Question 1

Master data

Answer 1

The data that provides context for business activity in the form of common and abstract concepts that relate to the activity.
Including: details, definitions and identifiers of internal and external objects involved within business transactions.

Question 2

Reference Data

Answer 2

Data used to organise or categorise other data, or for relating data to information both within and beyond the boundaries of the enterprise. I.e. Codes, descriptions, or definitions.

Question 3

Transactional data

Answer 3

Data that describes or records business events, which include an exchange of goods, money, and/or data describing the things that must be present for a transaction to occur.

Question 4

Master Data Management

Answer 4

The ongoing reconciliation and maintenance of master data.
Involving, controls over master data values and identifiers to ensure consistent use across systems.
Ensuring consistency with a golden copy of data values.

Question 5

Reference Data Management

Answer 5

Ensures an organisation has a complete set of accurate, consistent, up to date values for each concept represented. Represents control over definitions and domain values.

Question 6

ISO8000

Answer 6

The global standard for data quality and enterprise master data.
Provides a description of the features and a definition if the requirements for the standard exchange of master data among business partners. (Data)

Question 7

ISO9000

Answer 7

The global standard for quality management.
It specifies guidelines and procedures for documenting and managing business processes, providing a system for third party authentication. (management)

Question 8

Lists

Answer 8

Lists code values matched to a description. This required an agreed description and promoted a uniform enterprise-wide vocabulary. Abbreviations must be agreed by both consumers and the technical capacity of the delivery system.

Question 9

Taxonomy

Answer 9

A collection of controlled vocab terms organised into a parent child structure.
• Each term must have at least one relationship
• All of a parent’s children must be of the same type

Question 10

Ontology

Answer 10

A sematic trading model defining structure and meaning, typically used to model non tabular data.

Question 11

Internal Reference Data

Answer 11

Internal codes or descriptions of some business activities. They are formed when there is no external reference standard is available and must be made uniform across the organisation to prevent miss application/ data misuse.

Question 12

Hierarchy

Answer 12

Classification structure arranged by level of detail into a parent child structure (not reference data)

Question 13

Data Glossary

Answer 13

A data glossary is a repository of data and relevant information (ie. Relationships, origin, usage and format). An effective data glossary integrates the various business divisions usage of terminology and IT to form a uniform enterprise-wide approach.

Question 14

Data Warehouse

Answer 14

1. An integrated, centralised decision support database and the related software programs used to collect, cleanse, transform and store data from a variety of operational sources to support business intelligence.
2. A subject oriented, integrated, time variant, non-volatile collection of summary and detailed historical data, used to support the strategic decision-making process for the corporation -Inmon
3. A copy of transaction data specifically structured for query and analysis -Kimball

Question 15

Business Intelligence

Answer 15

A set of concepts, methods and processes to improve business decision making, using information from multiple sources that could affect the business and applying experiences and assumptions to deliver accurate perspectives of business dynamics.

Question 16

DW and BI management

Answer 16

The operational, administrative and control processes that provide access to business intelligence data and support to knowledge workers engaged in reporting, querying and analysis.

Question 17

structured data

Answer 17

data elements in required DB field

Question 18

semi-structured data

Answer 18

data elements don’t require attribute affinities (relationships)

Question 19

unstructured data

Answer 19

data that is not, or has not yet been integrated with the data model

Question 20

Content

Answer 20

	The information contained within documents/ web pages
	The name of a DCIM (Dublin core metadata initiative) element set:
o	Coverage 
o	Description 
o	Type 
o	Relation 
o	Source
o	Subject 
o	Title content management

Question 21

Content Management

Answer 21

The processes, techniques, and technologies for organising, categorising and structuring information resources so they can be stored, published and re-used.

It is a critical data management discipline for data found in text, graphics, video, or audio recordings.

Question 22

Controlled vocabulary

Answer 22

A defined list of explicitly allowed terms and their definitions. The organization of controlled vocab into a parent-child hierarchy or taxonomy.

Question 23

Document Management

Answer 23

The storage inventory and control of both electronic and physical documents.

Question 24

Document management system

Answer 24

An application used to track and store electronic documentation and or images of physical docs. They commonly provide storage, versioning, metadata, and security, as well as indexing and retrieval capabilities.

Question 25

ISO9001

Answer 25

Document and content management external standard

Question 26

Metadata

Answer 26

Metadata is a complex data overlay that allows and organisation to integrate multiple data sources and information sets into a well organised catalogue for efficient access and confident usage.

Question 27

Metadata Management

Answer 27

Processes that create, control, integrate, access and analyse metadata.

Question 28

Descriptive metadata

Answer 28

Metadata that characterises and catalogues the actual resource.

Question 29

Data Lake

Answer 29

Unstructured data, unlike structured is often stored in a data lake. A data lake is a repository capable of holding vast amounts of raw data, the structure and requirements are not defined until usage. Metadata management techniques are applied to the data lake to ensure ease of access.