Final answer:
To explore potential causes for an increased churn rate in Power BI Desktop, utilize data filtering, sorting, visualization, charts, Power Query for data transformation, and drill-down analysis with slicers for detailed examination.
Step-by-step explanation:
When you notice an increased churn rate in a customer sales monthly report in Power BI Desktop, there are several features you can use to explore potential causes. Data filtering and sorting will help you to narrow down and organize your data to look for patterns. Data visualization and charts allow for a visual examination of trends and anomalies that could indicate issues affecting churn rate. Power Query is beneficial for data transformation and the cleaning up of data that may influence your churn metrics. Lastly, using drill-down analysis and slicers gives you the capability to dig deeper into subcategories or time periods to uncover underlying factors. Each of these solutions can provide insights into why the churn rate might be increasing.