Why do dashboards often combine several different views instead of showing just one chart?
Think about how seeing data from different angles helps decision making.
Combining multiple views lets users explore data from various angles in one place, making insights clearer and faster to find.
You are building a sales dashboard. Which combination of views best helps a manager understand sales performance?
Think about what different views reveal about sales.
Combining a map, bar chart, and table gives a manager geographic, trend, and detailed customer views, supporting better decisions.
Given a dashboard with a line chart of sales over time, a pie chart of sales by product, and a map of sales by region, what is the main benefit of this combination?
Think about what each chart type reveals about the data.
Each view highlights a different data aspect, so combining them helps users understand the full picture quickly.
You created a dashboard with multiple views, but they don't interact when you select data in one view. What is the likely cause?
Think about how dashboards let views talk to each other.
Views must be connected by filters or actions to respond to user selections and update together.
You have a dashboard with many views showing large datasets. What is the best practice to keep the dashboard responsive?
Think about how to reduce the amount of data Tableau processes at once.
Extracts and filters reduce data volume and improve speed, keeping dashboards fast and user-friendly.