Difficulty: Easy

Average Score: 100%

A data analyst is required to use external data for a company project. Which type of data should the analyst choose to analyze?

Rationale

Data classified as secondary data should be chosen for analysis.

Secondary data refers to information that has already been collected and processed by others, making it an essential resource for data analysts looking to complement their internal data with external insights for a company project.

A (Data classified as primary data) YOUR ANSWER

Primary data is original data collected firsthand for a specific purpose, often requiring extensive time and resources to gather. While valuable, it is not external data; hence it does not fit the requirement of utilizing pre-existing external datasets for analysis in this scenario.

B (Data classified as secondary data) CORRECT

Secondary data consists of information gathered from existing sources, such as reports, studies, or databases that were collected by other researchers or organizations. This type of data is particularly beneficial for analysts needing to enhance their project with external insights without the need for additional data collection efforts.

C (Data stored within a company’s systems) YOUR ANSWER

Data stored within a company’s systems is considered internal data. While it may provide valuable insights, it does not fulfill the condition of using external data for the company project, which is explicitly required in this question.

D (Data generated within the company) YOUR ANSWER

Data generated within the company refers to information created through internal processes, projects, or operations. Similar to the previous option, this data is internal and does not satisfy the need to analyze external data sources for the project.

Conclusion

For a data analyst tasked with incorporating external data into a company project, secondary data is the ideal choice. It offers pre-existing information from outside sources, which can enhance the analysis while saving time and resources compared to collecting primary data. The other options presented focus on internal data classifications, which do not align with the requirement for external data utilization.

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