Learn how to ensure data quality for custom service analytics application with this guide. Find out what data quality dimensions are, and why age is an essential dimension for analyzing cases in Salesforce.
Table of Contents
Question
Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution. Which data quality dimension Is essential for this custom application?
A. Consistency
B. Duplication
C. Age
Answer
C. Age
Explanation
Age is a data quality dimension that is essential for the custom service analytics application to analyze cases in Salesforce. Age refers to how recent the data is and how well it reflects the current situation. For the custom service analytics application, the data should be as fresh and up-to-date as possible, as older data may not capture the latest status, progress, or resolution of the cases. Using outdated data can lead to inaccurate or misleading analysis and insights, and affect the efficiency and effectiveness of the case resolution.
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