IT 305: Fundamentals of Enterprise Data Management - Data Types, Sources, and Collection Methods

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Practice flashcards covering primary and secondary data, collection methods like designed experiments and sample surveys, and data structures including structured, semi-structured, and unstructured data.

Last updated 5:06 AM on 7/30/26
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16 Terms

1
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What is the definition of "Data" according to the lecture?

Facts and statistics collected together for reference or analysis.

2
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What is primary data and what are its primary advantages and disadvantages?

Primary data is data collected "at source." Its advantage is that it can be customized and aligned with research needs, while its disadvantages are cost and time.

3
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What are the common collection processes for primary data?

Interviews and surveys.

4
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How is secondary data defined?

Secondary data are data that are collected beforehand and are not specific to the research project.

5
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What are some examples of secondary data?

Sales Records, Industry Reports, and Enrollment Records.

6
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In data collection, what is a "Designed Experiment"?

A method where an experiment is designed to generate data by controlling different factors precisely while studying the effect of an important variable on the outcome.

7
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What is "complete enumeration" in the context of collecting existing data?

Collecting data on all items, individuals, or firms, such as gathering demographic information on all members of a family from a census.

8
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What is a "sample survey"?

A method where data is not collected on the entire population, but on a representative sample.

9
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What is the specific type of error associated with inferences drawn from a sample survey?

Sampling error.

10
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What is the defining characteristic of "Internal Data Collection"?

It is proprietary, meaning the company has control over the process and exclusive access to the data.

11
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Which third-party data providers are mentioned as examples for external data collection?

SWS and AC Nielsen.

12
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How is "Structured data" described?

Tabular data represented by columns and rows in a database, such as financial reports or purchase history.

13
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What defines "Semi-structured (hybrid)" data?

Information that does not consist of structured data (relational database) but still uses tags or markers to organize information with varying content.

14
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What are typical web formats used for semi-structured data?

JSON, XML, and HTML.

15
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What is "Unstructured data"?

Information in many forms that does not follow conventional data models, making it difficult to store in a mainstream relational database.

16
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What are examples of unstructured data sources?

Text files (emails, reports), multimedia (photos, videos, audio), sensor data, and free-form survey responses.