BI Tools
Salesforce CRM Analytics (formerly Tableau CRM) supports integration with Tableau, Power BI, and Looker primarily through data consumption patterns like connectors, APIs, and replication, enabling you to pull CRM Analytics data into these external BI tools for blended analysis.
These patterns focus on exporting datasets or querying live data, rather than on embedding external tools' dashboards directly into CRM Analytics.
Tableau Consumption
Use CData Tableau CRM Analytics drivers or Tableau's native Salesforce connector to query datasets directly (ODBC/JDBC), or export CSV/JSON for import. This pattern is ideal for visual exploration and supports live queries, but may introduce latency without Data Cloud.
Power BI Consumption
Connect via Power BI's Salesforce connector, Power Query, or CData drivers for live dataset access; replicate to Azure for scheduled refreshes. This pattern is common for Microsoft ecosystems, with strong support for CRM data blending.
Looker Consumption
Leverage Looker connectors, such as CData JDBC/ODBC, for querying CRM Analytics datasets as a data source, or sync via APIs to BigQuery/Snowflake for LookML modeling. This pattern is the best for governed, embedded analytics with real-time warehouse queries.
Patterns Comparison
| Tool | Primary Pattern | Strengths in CRM Analytics | Limitations |
|---|---|---|---|
| Tableau | Connectors / ODBC | Rich visuals, Salesforce native | ETL latency |
| Power BI | Power Query / API | Affordable, strong MS integration | Connector and API limits |
| Looker | JDBC / LookML modeling | Governance and embedded analytics | Requires SQL data warehouse |