What should a data analysis report include?

A data analysis report should include both qualitative and quantitative data because this comprehensive approach allows for a deeper and more nuanced understanding of the subject matter being analyzed.

Quantitative data, which is numerical in nature, enables analysts to identify patterns, trends, and statistical correlations. It can be used to measure variables and provide objective evidence to support conclusions. For example, if a report analyzes sales performance, including figures such as sales volume, revenue growth, or market share will help convey concrete results.

On the other hand, qualitative data adds context and richness to the quantitative findings. It includes descriptive information, opinions, and insights, which can explain the "why" behind the numbers. For instance, feedback from customers can reveal insights about their preferences or dissatisfaction that raw sales data alone might not capture.

By integrating both qualitative and quantitative data, a report can provide a holistic view, making it easier for stakeholders to understand not just the results but also the factors contributing to those results. This balanced approach enhances the decision-making process and improves strategic planning based on a thorough analysis of the findings.