Certified Application Specialist – Platform Analytics (CAS-PA) Practice Test

Question: 1 / 400

How do calculated fields impact data analysis?

They complicate the reporting process

They allow for the derivation of new insights

Calculated fields play a crucial role in data analysis by enabling users to derive new insights from existing data. By applying formulas and functions, calculated fields can combine, manipulate, or transform data to generate meaningful metrics that are not immediately apparent in the raw dataset. This capability allows analysts to create more sophisticated reports and dashboards, leading to a deeper understanding of trends, performance, or other key metrics relevant to their analysis.

For instance, a calculated field might allow the addition of sales tax to a set of sales figures, help calculate year-over-year growth, or provide averages or percentages that are essential for strategic decisions. Consequently, calculated fields enhance the analytical power of the data, facilitating better-informed decisions based on comprehensive insights rather than simply presenting raw data.

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They increase the risk of data entry errors

They limit data accessibility

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