Analyze your Microsoft Excel data in Jupyter
Getting your data from Microsoft Excel to Jupyter 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 Jupyter 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 Microsoft Excel data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Microsoft Excel in minutes
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.
Learn more:
Documentation
Microsoft Excel Data Warehousing
Microsoft Excel Business Intelligence
Other connectors with Microsoft Excel
Integrate with Jupyter in minutes
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of 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 the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.
Learn more:
Documentation
Other connectors with Jupyter
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