Parlan eliminates the need for BI tools by giving Excel users the power to work with all of their company’s data in a spreadsheet.
tldr; Parlan is building spreadsheets that talk to their data warehouse. Parlan equips users with the power of SQL through the spreadsheet formulas and syntax that they already know and love. Parlan helps users access their data (however large) so that they can answer questions quickly and free up time for data and BI teams.
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Hi everyone, Leeho and Jonathan here, the team behind Parlan.
Today, business teams are blocked from analyzing their data, because they might not know SQL, or because SQL isn’t convenient enough to work with. Users who don’t know SQL might ask business intelligence, data science, or engineering teams to help them pull their data from a database. For users that do know SQL, they still prefer not to write bulky-lined queries for the simplest of analyses.
In our previous orgs, Jonathan and I saw our colleagues struggle to get the data that they needed in order to perform any analysis. We found ourselves helping them pull data, and we also really hated the experience of having to use SQL any time that we had to do our own analysis 🤮.
So we created Parlan. Parlan allows you to embed any database or data warehouse into a spreadsheet through a no-code connection pane. We lift the row limitations of traditional spreadsheets, and equip users with the power of SQL through the formulas that you already know and love. With our spreadsheet, you can first connect your data sources (even ones that contain millions of rows) into our spreadsheet. You can then use our spreadsheet to run any analysis that you’d like on your data with syntax that you’re already familiar with.
Using our sheet connection pane, you can select your data source(s), check a few boxes, and you’re good to go!
🔥 Here are some examples of how our pilots are working with Parlan to save them time and empower their organizations:
Try us out! We’d love to hear from you and give you early access to our tool.