Getting your data from Quickbooks 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 Quickbooks 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.
From P&L to profits, QuickBooks is a font of useful data for anyone trying to better understand their business. That can be a problem for finance and accounting departments that need to maintain control over who can log in to QuickBooks but don’t have time to continually pull ad hoc reporting for other teams.
That’s where Panoply comes in. Panoply is a combined ETL pipeline and data warehouse that’s built with usability in mind. Setup takes minutes, and when it’s done, you’re able to sync and store the QuickBooks data you choose in a secure data warehouse and connect it to your team’s favorite analytics and BI tools. The result? All the access you could want without the worry of someone accidentally breaking your bookkeeping.
Learn more:
Quickbooks Data Warehousing
Quickbooks 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.
Learn more:
Documentation
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