Getting your data from Facebook Posts to SeekWell 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 Posts and SeekWell 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.
Instantly integrate Facebook post data into the Panoply cloud data warehouse so that it is immediately available for analysis. Facebook allows businesses to download and export post data and insights, and the Panoply integrates that data into your existing warehouse without requiring any ETL process or management.
Once loaded, the data is available to be combined, connected, or otherwise analyzed with all of your other data sources - all from within the Panoply platform. With Panoply, you can enhance your understanding of post engagements, better know your audience, grow your page, and enhance the relevancy of your social media presence to potential consumers.
Learn more:
Documentation
Facebook Posts Data Warehousing
Facebook Posts Business Intelligence
The SeekWell analytics developer platform features a SQL editor and creates automated dashboards in Google Sheets. With its Seek Assistant tool, programmers can write code faster with AI and natural language processing. SeekWell has a shareable code repository, so you can access and reuse stored code and establish consistent programming metrics for your team. This BI tool offers free and paid versions and in-app support. SeekWell connects to five databases, but you can connect to unlimited data types with the Panoply integration. Panoply’s AI-driven ETL automatically uploads, processes, and stores all kinds of data together in one place. Its secure, enterprise-level data pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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