Analyze your Google Analytics Ecommerce Data in Pandas

Integrating Pandas and Google Analytics Ecommerce has never been easier. Try Panoply for Free
Easily integrate data from over 30+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Google Analytics Ecommerce data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Pandas as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync Google Analytics Ecommerce and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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Integrate with Pandas in minutes

You love the power, flexibility, and expressiveness that Pandas’ data frames provide, but the rest of your team can’t live without 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 Pandas and the BI tool your coworkers rely on—power both with Panoply.

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Documentation

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Integrate with Google Analytics Ecommerce in minutes

Finding the right balance between making your Ecommerce data accessible and maintaining control over your Google Analytics Ecommerce account can be tricky. Panoply’s combination of ETL and data warehousing is an easy way to share data without giving everyone in the company the login. In just a few minutes, connect to Panoply to create a secure copy of your data that can be sent to your favorite business intelligence tool. With that pipeline in place, your data stays safe and your team can create the reports and dashboards they need.
See all Integrations

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Try It Now

Start syncing your Google Analytics Ecommerce data to Pandas now. Get a full Panoply trial free for 14 days.

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Free 14 day trial. No credit card required.

Frequently Asked Questions

How do I connect Pandas to my Google Analytics Ecommerce data?
To analyze your Google Analytics Ecommerce data in Pandas, you’ll first create a connection to Panoply. Panoply stores a replica of your Google Analytics Ecommerce data and syncs it so it’s always up-to-date and ready for analysis. You can connect Pandas to your Google Analytics Ecommerce data in Panoply via an ODBC connection.
What data can I integrate with Pandas?
Panoply allows you to integrate Pandas with 60+ data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With unlimited access to over 60 data integrations, Panoply makes it possible to create an integrated view of your entire business. Everyone in your organization can share this single source of truth across any BI tool or analytical notebook with unlimited queries from unlimited users.

Technically speaking, Panoply provides the ETL (Extract, Transform, Load) and data warehouse functionality in one platform with the added benefit of simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.