Getting your data from Stripe to Python 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 Stripe and Python 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.
Stripe is a financial services company that provides payment processing software and applications geared toward developers. Stripe’s developer tools are extremely robust and the Stripe Sigma interface allows programmers to create custom reports using SQL. However, merchants without a developer on their team, as well as those who want to easily blend their Stripe analytics with data from other sources, may find themselves in need of a better solution. With Panoply’s code-free cloud data platform, merchants can effortlessly sync, store, and combine their valuable Stripe data with 300+ data sources and destinations. Merchants use Panoply to combine their Stripe data with data sources like Google Ads, Magento, and HubSpot, and business intelligence tools like Power BI and Tableau, to unlock essential analytics for their business.
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Documentation
Stripe Data Warehousing
Stripe Business Intelligence
Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.
Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.
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Documentation
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