How to combine data from Mapp with Zendesk Talk

Pipes allows you to quickly Integrate Mapp with Zendesk Talk data for a combined analysis.
Load data from Mapp 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 Mapp, 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 Mapp and Zendesk Talk

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

Combine data from Mapp and Zendesk Talk

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

About Mapp

Mapp provides an all-in-one platform called Mapp Cloud, which includes a data management platform (DMP); a marketing automation platform; and a customer data platform (CDP) to provide a single profile view of each customer. Mapp’s Digital Services also support campaign management, email deliverability, and strategy consulting.

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.