Salesforce AppExchange consulting partner

Tableau Next and Salesforce CRM Analytics experts for trusted reporting.

DataDive helps teams modernise CRM reporting, Tableau CRM / CRM Analytics, semantic metrics, dashboard adoption and AI-ready analytics foundations across Salesforce, Tableau, BigQuery, dbt and Power BI.

Salesforce CRM Analytics Tableau Next Tableau CRM Semantic metrics AI-ready reporting
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Verify DataDive on Salesforce AppExchange.

Use the official AppExchange listing when you need Salesforce partner context for Tableau, CRM Analytics or Salesforce-connected reporting work.

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Tableau CRM and CRM Analytics

What DataDive helps Salesforce and Tableau teams fix

AI analytics only works when the business meaning, data model and reporting layer are trusted first.

Salesforce data to trusted reporting

Connect CRM, sales, service and finance data into a reporting-ready model instead of relying on disconnected exports and dashboard-specific calculations.

Tableau CRM and CRM Analytics dashboards

Design CRM reporting experiences around pipeline, customer, service, retention and executive metrics that business users can actually adopt.

Semantic metrics and reusable logic

Move business definitions into governed models and reusable metric logic so Tableau, Power BI and AI reporting do not conflict with each other.

Tableau Next and AI-ready foundations

Prepare clean datasets, documented definitions, quality checks and user workflows before teams depend on AI-generated insight and automated commentary.

Typical architecture

From Salesforce source data to governed analytics.

Depending on your stack, DataDive can help shape Salesforce and CRM data through API extraction, managed connectors, warehouse modelling, dbt transformations, Tableau dashboards, Power BI outputs and AI-ready reporting layers.

  1. Extract: Salesforce, CRM, finance and operations data via the right integration path.
  2. Model: BigQuery, Snowflake, Databricks or SQL warehouse layers with dbt where appropriate.
  3. Govern: metric definitions, access, quality checks and documentation.
  4. Report: Tableau, CRM Analytics, Tableau Next patterns, Power BI and AI-enabled reporting.
Use cases

Where CRM Analytics and Tableau Next work usually starts

Sales pipeline and revenue reporting

Opportunity movement, forecast quality, conversion, activity, sales cycle time and executive revenue views.

Customer and service analytics

Retention, service workload, account health, support performance and customer lifecycle reporting.

Data quality before AI analytics

Duplicate handling, missing CRM fields, stale records, inconsistent ownership, late updates and unreliable calculated fields.

Cross-platform reporting

Salesforce data combined with ERP, finance, product, marketing, warehouse and spreadsheet sources for a complete business view.

Official partner profile

Review DataDive on Salesforce AppExchange, then talk to us about your CRM analytics stack.

We can help you decide whether the next step is Tableau CRM / CRM Analytics cleanup, Tableau Next readiness, Salesforce data modelling, dbt/BigQuery foundations, dashboard rebuilds or managed reporting support.