My Salesforce clients have increasingly been considering Tableau. Tableau has great out-of-box discoverability of geo fields, dimensions and facts. The ability to auto-suggest a map of the U.S. based on data containing City/State is "magic" to power users.
The only barriers to Salesforce + Tableau adoption I noticed were cross-object JOINs and live vs cached data extracts.
Both issues were remedied by denormalizing the data prior to export. For example, a nightly flattened "view" of Opportunities with key related objects moved into columns.
Mulesoft is well suited to perfect the ETL challenges. Bringing them to the table could be a win for everyone.
The only barriers to Salesforce + Tableau adoption I noticed were cross-object JOINs and live vs cached data extracts.
Both issues were remedied by denormalizing the data prior to export. For example, a nightly flattened "view" of Opportunities with key related objects moved into columns.
Mulesoft is well suited to perfect the ETL challenges. Bringing them to the table could be a win for everyone.