Which of the following describes a summary level in a dashboard metric?

Which of the following describes a summary level in a dashboard metric?

• A. A qualitative measure
• B. A hierarchy of data points
• C. A method for data cleansing
• D. A format for presenting raw data

Answer: (B)

A summary level in a dashboard metric refers to the aggregation or hierarchical organization of various data points that allows for a concise overview of important information. This level is critical because it helps users to quickly understand the overall performance or status of a particular aspect without needing to delve into the granular details. For example, instead of displaying every single transaction, a summary level might present total sales for the month, allowing stakeholders to grasp trends and make informed decisions based on a higher-level view. This concept contrasts with qualitative measures, which provide descriptive insights rather than numerical data; methods for data cleansing, which focus on improving data quality rather than summarizing it; and formats for presenting raw data, which typically involve showing unprocessed data points instead of synthesized, summary information.

A summary level in a dashboard metric refers to the aggregation or hierarchical organization of various data points that allows for a concise overview of important information. This level is critical because it helps users to quickly understand the overall performance or status of a particular aspect without needing to delve into the granular details. For example, instead of displaying every single transaction, a summary level might present total sales for the month, allowing stakeholders to grasp trends and make informed decisions based on a higher-level view.

This concept contrasts with qualitative measures, which provide descriptive insights rather than numerical data; methods for data cleansing, which focus on improving data quality rather than summarizing it; and formats for presenting raw data, which typically involve showing unprocessed data points instead of synthesized, summary information.