

GRID is an advanced spreadsheet platform that integrates seamlessly with various data sources like spreadsheets and databases. It offers a user-friendly interface akin to traditional spreadsheets, enhanced with robust integrations for tools like Notion and Airtable.
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GRID is an advanced spreadsheet platform that integrates seamlessly with various data sources like spreadsheets and databases. It offers a user-friendly interface akin to traditional spreadsheets, enhanced with robust integrations for tools like Notion and Airtable.
Using GRID involves connecting to or creating a data source or spreadsheet. Next, choose the data you wish to visualize and utilize the interactive features available in the spreadsheet editor. GRID facilitates combining data from multiple sources into a single chart, and you can embed your visualizations on websites or internal wikis.
GRID is a powerful spreadsheet tool that integrates and visualizes data from various sources, allowing users to perform interactive analyses, generate stunning reports, collaborate efficiently, and make data-driven decisions quickly.
To use GRID, start by linking or creating a spreadsheet or data source. Then, select the data to visualize and add interactivity through the spreadsheet editor. GRID allows for the combination of different data sources into one chart and embedding the work into websites or internal wikis.
GRID's core features include syncing and visualizing data from spreadsheets and databases, a user-friendly spreadsheet editor with standard formulas, strong integrations with Notion and Airtable, interactive visualizations, the ability to merge data from multiple sources into one chart, and embedding capabilities for websites and internal wikis. Additionally, it offers AI-powered assistants for formula and chart suggestions.
GRID can be used for developing business calculators, formulating financial models, creating interactive marketing and sales dashboards, analyzing campaign performance and tracking KPIs, designing financial reports, forecasting revenue, and presenting data in an appealing manner.