5 Tips for BI Dashboarding in Coveo

Here are five helpful tips for developing and interpreting analytics dashboards in Coveo effectively.

Defining Clear Objectives: Before diving into the data, determine what you want to achieve with your dashboard. This could be understanding customer behavior, measuring content performance, or improving search effectiveness.
Understanding Key Metrics: Identify which metrics are most important for your goals. Examples include click-through rates, query abandonment rates, or time spent on page. Knowing these will guide your analysis.
Segmenting Data: Break down your data into smaller segments; such as, user demographics, behavior types, or time periods. This will allow for more targeted analysis and actionable insights.
Using Visualizations Effectively: Choose the right visualizations to represent your data. Bar graphs, line charts, heat maps, or even scatter plots can help you recognize patterns and trends more easily.
Leveraging Machine Learning Insights: Use Coveo's machine learning capabilities to uncover deeper insights, like content gaps or unexpected user search patterns, that might not be immediately apparent from raw data alone.