Determine what data to collect

Question 1

What are some data collection considerations?

Answer 1

How the data will be collected
What data sources to choose
What data do use
How much data to collect
What data type to select
What time frame to use

Question 2

What is a data sample?

Answer 2

A part of a population that is representative of the population

Question 3

What is first-party data?

Answer 3

Data that you collect yourself

Question 4

What is second-party data?

Answer 4

Data that is collected directly by another group and then sold

Question 5

What is third-party data?

Answer 5

Data that is sold by a provider that didn’t collect the data themselves

Question 6

What is discrete data?

Answer 6

Data that is counted and has a limited number of values. Allowing partial measurements like half-stars of quarter-points would mean the data is not discrete

Question 7

What is continuous data?

Answer 7

Data that is measured and can half almost any numeric value (eg; 110.03568 minutes)

Question 8

What is nominal data?

Answer 8

A type of qualitative data that is categorised without a set order (data that isn’t in a particular order)

Question 9

What is ordinal data?

Answer 9

A type of qualitative data with a set order or scale

Question 10

What is internal data?

Answer 10

Data that lives within a company’s own systems. Internal data is generally more reliable and easier to collect

Question 11

What is external data?

Answer 11

Data that lives and is generated outside of an organisation

Question 12

What is structured data?

Answer 12

Data organised in a certain format such as rows and columns (expense reports, inventory)

Question 13

What is unstructured data?

Answer 13

Data that is not organised in any easily identifiable manner (eg; social media posts, or video and audio files)

Question 14

Define qualitative data

Answer 14

A subjective and explanatory measure of a quality or characteristic

Question 15

Define quantitative data

Answer 15

A specific and objective measure such as a number, quantity, or range

Question 16

What is a data model?

Answer 16

A model that is used for organising data elements and how they relate to one another, which helps keep data consistent and provide a map of how it is organised

Question 17

What are data elements?

Answer 17

Pieces of information, such as people’s names, account numbers, and addresses

Question 18

What are the three most common types (levels) of data modeling?

Answer 18

Conceptual: a high-level view of the data structure (doesn’t contain technical details)

Logical: focuses on the technical details of a database such as relationships, attributes, and entities (doesn’t spell out actually names of database tables)

Physical: depicts how a database operates. Defines all entities and attributes used (table names, column names, data types)

Question 19

What are two common methods/ techniques for developing data models?

Answer 19

Entity Relationship Diagram (ERD): a visual way to understand the relationship between entitities in the data model

Unified Modelling Language (UML): detailed diagrams that describe the structure of a system by showing the system’s entities, attributes, operations, and relationships

Question 20

What is a data type?

Answer 20

A specific kind of data attribute that tells what kind of value the data is

Question 21

What is text or string data?

Answer 21

A sequence of characters and punctuation that contains textual information

Question 22

What is boolean data?

Answer 22

A data type with only two possible values; true or false