How to combine data from SAS with MailChimp

Pipes allows you to quickly Integrate SAS with MailChimp data for a combined analysis.
Load data from SAS and MailChimp into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to SAS, MailChimp, 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 SAS and MailChimp

You just need to enter the associated credentials to allow Pipes access to the SAS API and the MailChimp API.
3

Combine data from SAS and MailChimp

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

About SAS

SAS provides a business analytics suite which help clients to gain insights from their data. The SAS software includes a basic SAS component that performs analytical functions and several other modules that add graphics, spreadsheets or other features.

About MailChimp

MailChimp is a leading email marketing service. MailChimp’s integrations and features allow the user to send automated messages, marketing emails, and targeted campaigns. These features enable MailChimp’s clients to deploy flexible designs for brands of any size, automation for online sellers and advanced analytics to scale.

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.