How to combine data from Jive with Asana

Pipes allows you to quickly Integrate Jive with Asana data for a combined analysis.

Load data from Jive and Asana into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Jive, Asana, 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.

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.

Connect to Jive and Asana

You just need to enter the associated credentials to allow Pipes access to the Jive API and the Asana API.

Combine data from Jive and Asana

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

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About Jive

Jive Interactive Intranet is enterprise social software to improved employee productivity, corporate knowledge and institutional memory. Jive allows companies to engage employees, customers, and the social web.

About Asana

Asana is a SaaS tool designed to improve team collaboration and work management. It helps teams manage projects and tasks in one place. Teams can assign work to teammates, specify deadlines, and communicate about tasks directly in Asana. Asana’s open API provides a means to programmatically read information in Asana, input information into Asana, and create automations within Asana.

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.

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