Learn how to forecast sales using Time Series Forecasting and applying the magical Finance overrides in Data Prep Recipes, and then build white-space analysis end-to-end using Clustering.
Forecast case volume (and applying the same magical overrides to account for external and internal factors not in the data), detect sentiment in cases, and segment customers by case volume, sentiment trends, and CSAT scores to identify attrition risks for early action.
In order to follow the workshop you do need to get a developer org and make sure the pre-work has been done. Check out the link to both below.
🔗 Get an analytics developer org
🔗 View the workbook