Most data that support agents need originates from outside of the CX platform itself. A crucial driver of efficiency is bringing that data to an agent, not sending them on a hunt for information. There are two categories of data that need to be integrated differently to complete the picture. Reverse ETL or data Push serves one category, but the other requires a real-time connection to your data warehouse.
If you use a Salesforce portal for partners and customers, it can be challenging to scale operational reporting to external users. Omnata could help you get more out of native reporting and reduce the complexity of embedded reporting approaches.
OData comes up when Salesforce users require data from another system on-demand, but, OData has some inherent challenges to be aware of. The new era of cloud data warehouse allows you to deliver the OData vision in a better way.
Omnata Push now supports Salesforce Marketing Cloud, SFMC. Push data directly from Snowflake, manage like SQL, integrate with dbt. Learn more about the approach and see it in action.
As companies have increasingly global workforces and customers, it's worth the time for Salesforce administrators to understand how multi-currency works. It doesn't involve any obscure knowledge of finance, and is probably simpler than you think.
'Reverse ETL' has been trending but do we really want to do ETL when loading data into apps? Omnata Push is a step towards simplifying last-mile integration that uses Snowflake to push data, instead of using a middle layer to extract and load. Omnata now supports Snowflake to Salesforce and Marketing Cloud.
Omnata Push is what we think the future of data integration architectures should look like. The integration pattern has been proven and we're expanding our support to other parts of the Salesforce ecosystem with Marketing Cloud.
Learn about the latest approach to Salesforce with Large Data Volumes (LDV) for 2021. Salesforce can now be directly connected to cloud data warehouses; Snowflake and BigQuery, that are designed to handle operational scale workloads. Live-queries solve a bunch of problems faced by traditional extract and load integrations. Omnata unlocks integration use cases like product data, revenue and transactional data, machine learning outputs, and patient records.
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