A SaaS company wants to improve its quarterly revenue forecasting accuracy by analyzing customer retention rates and product profitability across different regions. How would you design a dashboard in Looker or Tableau to track these metrics, ensure data consistency, and support actionable insights for market strategy decisions?

Use the MECE (Mutually Exclusive, Collectively Exhaustive) framework to structure the dashboard into distinct sections: 1) Customer Retention Metrics (e.g., churn rate, retention rate by region), 2) Product Profitability (e.g., gross margin, cost per customer), and 3) Regional Performance (e.g., revenue per region, profitability trends). Ensure data consistency via centralized data sources and validation rules. Use KPIs and drill-down capabilities for actionable insights.

To design the dashboard, I would use MECE principles to separate metrics into three core sections. First, track customer retention rates by region using a heat map in Tableau, showing churn rates and monthly retention trends. Second, analyze product profitability with a stacked bar chart comparing gross margins across product lines. Third, overlay regional performance with a geographic map highlighting revenue and profitability. Data consistency is ensured by connecting to a centralized data warehouse (e.g., Snowflake) with automated validation rules for data quality. Actionable insights include identifying regions with high churn and low profitability for targeted marketing campaigns, while high-margin products in specific regions could inform resource allocation. Interactive filters allow users to drill into specific timeframes or regions for deeper analysis.