Webinar
November 30, 2023
Unlocking business growth: How customer success operations can be your secret weapon
Join us for an exclusive webinar where Katie Yagodnik, our Director of Customer Success Operations, dives deep into real-world strategies with Claire Carlson from Sezzle, Christina Brown of CDK Global, and Mariana Lynch from ACA Group.
- Allows businesses to simply and effectively run high performance queries on petabytes of both semi-structured and structured data so they can build reports and dashboards using business intelligence tools.
- Combines structured data from data warehouses and semi-structured data from other data platforms to provide real-time operational insights on users’ applications and systems.
- Allows users to share data inside and outside of their organizations for secure and governed collaboration on live data.
- Provides businesses with predictive analytics models by allowing them to use SQL to automatically create, train and deploy Amazon SageMaker models on the data in their warehouses.
Amazon Redshift is a fully-managed, petabyte-scale, cloud-based data warehouse that is designed for large scale data storage and analysis. It helps users to employ their data to gain new insights for their businesses and customers. Redshift is designed to connect to SQL-based clients and business intelligence tools to make data available in real time. It delivers fast performance and querying to help teams make comprehensive business analyses and decisions.
With Totango’s Redshift Integration, you can stream information directly to Totango DNX-CX to start analyzing and acting on your customer data faster. This integration saves you time, reduces your Totango administrator’s dependency on operations and data teams, and enables easier integration management by reusing data connectors, editing and duplicating integrations, using automatic field mapping, and real-time previewing and validation.
- Create the query for ETL entirely within Totango to extract only pertinent data and remove overhead/management costs involved with hosting and executing this query.
- Reuse data source connectors.
- Sync data from several instances of the same data source.
- Filter incoming information.
- Enable incremental and snapshot mode syncs.
- Configurable scheduling of integration.
- Monitor all information in a unified view.
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