Analyze your Delighted data in Python
Getting your data from Delighted 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 Delighted 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 Delighted data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Delighted in minutes
Panoply makes it simple to integrate your Delighted data directly into your data warehouse without maintaining an ETL or ELT process. Delighted is a popular customer feedback survey system that gathers instant feedback and makes it available from within the Delighted Dashboard for review. With Panoply, Dashboard customers can connect, combine, store, and access Dashboard data with all other data sources from directly within the Panoply Smart Data Warehouse.
With the Panoply platform, your analysts can review your customer feedback, analyze your Net Promoter Scores, and discover new opportunities from your Delighted data, with reports, dashboards, and queries available within the Panoply system.
Learn more:
Delighted Data Warehousing
Delighted Business Intelligence
Other connectors with Delighted
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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