How to combine data from Fountain with Zendesk Talk

Pipes allows you to quickly Integrate Fountain with Zendesk Talk data for a combined analysis.
Load data from Fountain and Zendesk Talk into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Fountain, Zendesk Talk, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to Fountain and Zendesk Talk

You just need to enter the associated credentials to allow Pipes access to the Fountain API and the Zendesk Talk API.
3

Combine data from Fountain and Zendesk Talk

Pipes lets you select the data from Fountain and Zendesk Talk that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Fountain

Fountain is an HR platform for hiring automation. With the automation abilities you can set hiring preferences and requirements. You can quickly customize workflows without code, leverage machine learning to prioritize the best candidates, set custom hiring rules, and manage candidate across multiple locations.

About Zendesk Talk

Zendesk Talk is a ready to use and cloud-based VoIP system that’s implemented in the Zendesk Support ticketing system. It allows customer service teams to provide phone support from the Zendesk platform.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.