Analyze your Shopify data in Python
Getting your data from Shopify 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 Shopify 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.
How it works
Automatically sync and store the data you want with table-level control.
See the Shopify data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Shopify in minutes
Shopify is e-commerce software that simplifies online sales and collects important customer data. With Shopify, merchants can not only create a digital storefront, but start to understand the impact of marketing campaigns on conversions…and their bottom line. But merchants that are looking for deeper insights like RFM reporting or CLV analysis may soon become frustrated by the limitations of Shopify’s built-in reporting. Thankfully, Panoply’s code-free cloud data platform makes it easy to sync and store your Shopify data and to combine it with other critical e-commerce data sources like Google Ads, Facebook Ads, and Stripe, unlocking game-changing advanced analytics that just aren’t possible with Shopify alone.
Learn more:
Documentation
Shopify Data Warehousing
Shopify Business Intelligence
Other connectors with Shopify
Integrate with Python in minutes
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.
Learn more:
Documentation
Other connectors with Python
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