How would you use Tableau CRM (Einstein Analytics) for B2B pipeline analytics?
Suggested answer
Tableau CRM (formerly Einstein Analytics) provides embedded analytics within Salesforce, built on a columnar in-memory analytics engine.
Pipeline analytics use cases:
- Pipeline Inspection: Visualise open pipeline by stage, owner, close date, and forecast category. Identify deals with no recent activity.
- Win/Loss analysis: Analyse closed opportunity patterns by product, industry, competitor, and rep to identify winning and losing deal characteristics.
- Forecast vs. Actual: Compare forecasted revenue to actual closed revenue by time period, region, and product line.
- Deal Velocity: Average time opportunities spend in each stage. Identify bottleneck stages where deals stall.
Data sources: Tableau CRM dataflows ingest Salesforce CRM data (Opportunities, Activities, Users, Accounts). External data can be loaded via the External Data API for combined analytics.
Einstein Discovery integration: Augment dashboards with AI-generated story insights — factors driving pipeline changes, predicted outcomes, and recommended next actions embedded directly in dashboard widgets.
Embedded in CRM: Analytics dashboards can be embedded on Opportunity, Account, and Home pages for in-context insights without leaving the CRM.
Practice content for interview preparation; not an official vendor answer. Verify details against current product documentation.
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