A data analyst needs to present the results of an online marketing campaign to the marketing manager. The manager wants to see the most important…

The option that the data analyst should use to best communicate the information to the manager is a

summary with statistics, conclusions, and recommendations from the data analyst. A summary is a

concise and clear way of presenting the main findings and insights from the data analysis report. A

summary should include relevant statistics that support the conclusions and recommendations from

the data analyst. A summary should also highlight the most important KPIs and measure the return

on marketing investment in relation to the objectives of the online marketing campaign. The other

options are not as effective as using a summary to communicate the information to the manager, as

they either provide too much or too little information or do not address the manager’s needs or

expectations. A real-time monitor may provide too much information that can be overwhelming or

distracting for the manager who wants to see only the most important KPIs and measure the return

on marketing investment. A self-service dashboard may provide too little information that can be

insufficient or unclear for the manager who wants to see some guidance and interpretation from the

data analyst. A spreadsheet of raw data may provide irrelevant or inaccurate information that can be

confusing or misleading for the manager who wants to see some analysis and insights from the data

analyst. Reference: [How to Write an Executive Summary for Your Data Analysis Report - Towards

Data Science]