Getting your data from Facebook Pages to SQL 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 Facebook Pages and SQL 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.
Panoply comes with several Facebook integrations, including Facebook page data. Facebook’s business page analytics provides thorough data ripe for analysis, including active users, cohorts, funnels, and more. That data can be instantly integrated into your Panoply data warehouse, where your logged event and page data can be combined and analyzed with all of your data sources.
With Panoply, Facebook Pages data instantly becomes a usable part of your existing datasets, without requiring any ETL or ELT process or any custom scripts. From within the Panoply platform, you can start to query and analyze that data right away, and leverage your business page to better support your company’s marketing and sales efforts.
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Documentation
Facebook Pages Data Warehousing
Facebook Pages Business Intelligence
SQL is the lingua franca of analytics, but your business users may be more comfortable with self-service BI tools than writing SELECT statements. Supporting both is no problem with Panoply. We make it easy to query and model your data from 30+ data sources with Panoply’s built-in SQL workbench (or your own favorite Postgres-flavored workbench) and sync data to multiple analytics tools, no ETL 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 SQL workbench you love and the BI tool the rest of the company can’t live without. Power both with Panoply.
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Documentation
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