Getting your data from Microsoft Excel to Pandas 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 Microsoft Excel and Pandas 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.
People and businesses all over the world rely on Microsoft Excel to process, analyze, and display their data. This classic BI tool has some new modern features. Examples are learned intelligence that organizes your data based on recognized patterns, prebuilt advanced formulas and one-click templates for predictive charts, and real-time collaboration in shared files. You can add fast, automated data management and cloud convenience and security to Excel with the Panoply integration. Panoply manages your data in the only fully integrated cloud service that combines an automated ETL with a data warehouse. It continuously uploads, sorts, and stores all your latest data in one place, saving you time and data prep effort. The Panoply ETL pipeline streams your latest, cleanest data to your Excel charts and graphs, so they always display the most relevant results.
Microsoft Excel Data Warehousing
Microsoft Excel Business Intelligence
You love the power, flexibility, and expressiveness that Pandas’ data frames provide, but the rest of your team can’t live without a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no 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 Pandas and the BI tool your coworkers rely on—power both with Panoply.
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