Analyze your Delighted data in PopSQL
Getting your data from Delighted to PopSQL 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 PopSQL 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 PopSQL in minutes
PopSQL, the “Modern, collaborative SQL editor for your team” is a SQL editing platform that provides shareable URLs to your queries and results. PopSQL automatically displays your analytics in chart and graph formats that best fit your data. User-friendly features like query variables, search and version history make PopSQL easy for the non-programmers on your team. Panoply powers PopSQL combining and automating all three key aspects of the data stack: data ingestion, data storage and management, and query performance optimization so your PopSQL queries and graphs will be lighting fast and always up to date.
Other connectors with PopSQL
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