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Salesforce and AWS Deepen APAC Partnership with Data Cloud and Redshift Native Integration

Salesforce and AWS deepen APAC partnership — Salesforce Data Cloud natively integrates with Amazon Redshift and SageMaker, enabling APAC enterprises to combine Salesforce CRM data with AWS analytics and ML without custom ETL pipeline development.

AE By AIMenta Editorial Team ·

Original source: Salesforce (opens in new tab)

AIMenta editorial take

Salesforce and AWS deepen APAC partnership — Salesforce Data Cloud natively integrates with Amazon Redshift and SageMaker, enabling APAC enterprises to combine Salesforce CRM data with AWS analytics and ML without custom ETL pipeline development.

Salesforce and Amazon Web Services have announced a deepened APAC partnership that includes native integration between Salesforce Data Cloud and Amazon Redshift, enabling APAC enterprises to access and analyse Salesforce CRM data directly within Redshift analytics environments without building custom ETL pipelines. The integration extends to Amazon SageMaker, allowing APAC data science teams to train ML models on combined Salesforce customer data and AWS-managed transactional data through a unified data access layer.

The Salesforce-AWS integration addresses a persistent APAC enterprise data architecture challenge: Salesforce holds the authoritative customer record (contact data, opportunity history, account relationships, service case history) while AWS data lakes and Redshift hold transactional data, operational data, and third-party enrichment data. Combining these data sources for APAC customer analytics, ML model training, and AI application development has traditionally required custom ETL development, data replication management, and ongoing data quality monitoring. The native integration eliminates this plumbing.

For APAC enterprises managing multi-billion dollar customer relationships across the region, the combined Salesforce CRM dataset and AWS transactional data enables ML models that could not be trained on either dataset alone: customer churn models that incorporate Salesforce service interaction history alongside AWS-tracked product usage; revenue forecast models that combine Salesforce pipeline data with AWS-tracked contract fulfilment patterns; customer segmentation models that use both Salesforce behavioural and AWS transactional signals.

The APAC market relevance of the Salesforce-AWS partnership is amplified by the high co-occurrence of both platforms in APAC enterprise technology stacks. Financial services, manufacturing, and professional services organisations across Singapore, Australia, Japan, and Southeast Asia that standardised on Salesforce for CRM and AWS for cloud infrastructure represent a substantial APAC enterprise segment that benefits from the reduced integration complexity of native platform connectivity.

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#salesforce #aws #partnership #apac #data-cloud #crm #redshift

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