Getting your data from Square 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 Square 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.
Square is a financial services company that provides payment aggregator and POS services. From side hustles to enterprise level businesses, Square allows merchants to accept credit and debit card payments for online and in-person sales. Its dashboard feature provides basic analytics helping users to track sales trends and identify repeat customers, but users will find the data from Square alone is insufficient to gain a full picture of their business’s health. With the help of Panoply’s code-free data platform, merchants can finally get a 360 picture of their business. Panoply allows merchants to sync, store, and combine their Square data with other data sources like Facebook Ads, Google Analytics, PowerBI, and Shopify, revealing game-changing analytics and visualizations that go far beyond Square’s basic insights.
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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