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.
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.
'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.
Omnata drastically simplifies integration tasks, from Snowflake to Salesforce and BigQuery to Salesforce. Previously, this required middleware with complex setup and constant maintenance. The simplicity of this new approach rests on two key components, cloud-native data warehouse design and Salesforce Connect external objects.
Keep up with the latest about data integration, Salesforce & Snowflake expert tips, open-source and community contributions. Insights about analytics, ML, enterprise architecture and data-engineering.
Sign up for genuine updates from time to time - no spam 🙂
Thanks for signing up!
Error sending please try again