Data Flashcards

(37 cards)

1
Q

Application Programming Interface (API)

A

A software intermediary that enables communication between two applications.

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2
Q

Artificial Intelligence (AI)

A

Machine-generated intelligence that mimics human cognition and behavior.

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3
Q

Boolean

A

A data type with only two possible values: true or false.

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4
Q

Break-even

A

The point where revenue equals costs, resulting in neither profit nor loss.

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5
Q

Census

A

A detailed population survey carried out every 10 years to gather demographic data.

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6
Q

Data

A

Raw, unprocessed facts without context or meaning.

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7
Q

Data Assurance

A

Processes like validation and verification that ensure accuracy and reliability of data.

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8
Q

Data Entry

A

The process of inputting data into a system.

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9
Q

Data Lake

A

A repository for raw, unstructured data from diverse sources.

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10
Q

Data Maintenance

A

Ensuring data remains current and correct over time.

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11
Q

Data Mining

A

The analytical process of discovering patterns in large datasets.

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12
Q

Data Model

A

A structured representation of data relationships, often used in databases.

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13
Q

Data Quality

A

A measure of how accurate, complete, and reliable data is.

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14
Q

Data Warehouse

A

A central store of structured, processed data used for analysis and reporting.

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15
Q

Data Wrangling

A

Cleaning and converting raw data into a usable format.

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16
Q

Driverless Cars

A

Vehicles that operate autonomously without human input.

17
Q

Focus Group

A

A research method involving guided discussion among a small group.

18
Q

Information

A

Processed data that provides meaning and context.

19
Q

Informed Decision-Making

A

Making choices based on data analysis and interpretation at different organisational levels.

20
Q

Integer

A

A whole number without decimals.

21
Q

Internet of Things (IoT)

A

A network of interconnected smart devices that share data.

22
Q

Knowledge

A

Insight derived from interpreting information, often using experience.

23
Q

Metadata

A

Data that describes other data, such as its source, format, or structure.

24
Q

Privileges

A

User-specific access rights to data and systems.

25
Qualitative Data
Non-numerical data based on personal opinions or observations.
26
Quantitative Data
Numerical data used for statistical analysis.
27
Redundancy
Duplicating data to ensure backup or fault tolerance.
28
Reliability
The trustworthiness and consistency of data.
29
Reporting
Presenting processed data in tables or charts for decision-making.
30
Secondary Market Research
Using existing research conducted by another party.
31
Stakeholder
An individual or group affected by or with an interest in an organisation’s actions.
32
String
A data type representing a sequence of characters.
33
Targeted Marketing
Directing marketing efforts at a specific demographic or user group.
34
Transactional Data
Information generated from business transactions.
35
Validation
Checking that data entered is sensible and within acceptable ranges.
36
Verification
Confirming that entered data matches the original source, often via double entry.
37
Visualisation
A graphical depiction of data or product concepts, e.g. charts or storyboards.