I have a PostgreSQL warehouse that stores data of billing-unit and direct cost per million value ( direct CPM) And want to predict the direct cpm based on the input (billing units). I want a Tableau workbook that see the predicted CPM, plus a quick visual of how that estimate sits against past performance. Scope • Build a reliable predictive layer—Tableau linear regression, exponential smoothing, or a simple Python/TabPy script is fine as long as the output is explainable and updates automatically when fresh data arrives. • Create a parameter for “Planned Billing Units”. When the number changes, the dashboard should refresh the CPM estimate and display a 95 % confidence range. • Design a concise dashboard: KPI cards for predicted CPM, trend line for historical vs. forecast, and filters for date range or product line (if present in the table). • Package and hand over the .twbx along with a short read-me covering data connections, key calculations, and how to refresh