Getting your data from Microsoft Excel 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 Microsoft Excel 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.
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
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.
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