Analyze your MailChimp data in Jupyter
Getting your data from MailChimp to Jupyter can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both MailChimp and Jupyter with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the MailChimp data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with MailChimp in minutes
Panoply’s easy to use integration systems allow MailChimp customers to store and analyze their e-commerce, email marketing, and advertising data in one central location, without requiring a complete data warehousing infrastructure.
MailChimp is an automated email marketing and newsletter platform, used in the e-commerce industry. MailChimp’s data reporting provides companies with detailed information about their emails, from demographic data to engagement.
The Panoply platform extracts that data directly from MailChimp, integrates it into its cloud based data warehouse without requiring any ETL or ELT processing, and makes it immediately accessible for analysis. It is instantly available to be combined or compared against other data sources and can be analyzed to help you make more effective emails and marketing decisions that improve your ROI.
Learn more:
MailChimp Data Warehousing
MailChimp Business Intelligence
Other connectors with MailChimp
Integrate with Jupyter in minutes
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.
Learn more:
Documentation
Other connectors with Jupyter
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