Microsoft Excel

Microsoft Excel is a software program that allows users to input, record, analyze, and share numerical data formatted in a spreadsheet.

Panoply makes it easier than ever to access your Microsoft Excel data. Explore it in SQL or connect your favorite BI tools and analytical notebooks for custom data visualization and advanced analytics.

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Microsoft Excel BI Integrations

Modernizing Microsoft Excel BI

Preparing for analytics

Do you spend more time on data preparation or analysis? If you’re like most data analysts, you spend most of your time exporting CSVs, hacking spreadsheets, maintaining Python scripts, and managing databases. And you do all this hard work just for managers to ask why your reports don’t include today’s data. Your data deserves better, and so do you.

Automating data management

That laborious process of syncing and synthesizing data is called data management. Yes, it’s important—everyone knows good analysis requires good data. But every minute spent managing data is a minute that could be spent on analytics. The good news is that these processes can be automated and managed in the cloud without any complicated scripts or engineering expertise.

Your Microsoft Excel data analytics platform

Panoply is the easiest way to sync, store, and access your Microsoft Excel from all your business intelligence tools and analytical notebooks. It only takes a few minutes to connect your Microsoft Excel data to Panoply. Once connected, Panoply will automatically refresh your data as it changes. There are no scripts to maintain or processes to manage. You can focus on what matters your data and your business.

Panoply makes your Microsoft Excel data accessible
so you can analyze it

Expected Microsoft Excel Data
Data from a Microsoft Excel file are read and imported into Panoply through the File Upload data source. Each row, except the first one, from one or more worksheets in your Excel file, becomes a record in a destination table. Like CSV files, the first rows are considered as the column headers of your data. Each of their cells is consolidated to become the columns of the table. Null values are given for rows whose data doesn't match the structure brought about by the consolidation. Then, additional metadata columns are included for each record. These columns denote the name of the worksheet where the record came from, the time it was last retrieved from the source, and the time it was last written into the destination table.

Screenshots

Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations are much more fast and efficient.
Andrew Zeck - CTO and Co-founder, Saucey
Read the customer success story

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