Connector Database / Airtable
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Airtable data with AI-powered assistant.
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Generate automated reports and business intelligence insights from your Airtable data—as fast as you can ask them.
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Unify your Airtable data with DuckDB-powered data warehouse including MongoDB, Google Sheets and Google Analytics.
Extracts data from Airtable bases and tables, including all table rows (records) with field values plus record metadata (id and created time). Enables analysis of custom operational datasets managed in Airtable—such as project trackers, CRM lists, task boards, content calendars, and other bespoke tables—centralized into a warehouse or analytics environment.
Represents individual rows within an Airtable table, including field values and record metadata. Powers operational analytics and KPIs tailored to each table—such as pipeline progression, task throughput, content calendar status, and campaign tracking.
A modeled dataset within a base, defined by its fields and data types. Enables schema-aware modeling of dimensions and measures, stable keys, and joins for downstream reporting and data quality checks.
Top-level container that groups related tables (a project or app) and scopes access. Useful for cataloging datasets and aggregating metrics across multiple tables within the same base.
Uses a personal access token from your Airtable account (sent as a Bearer token) to authenticate
Connect to Airtable once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
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I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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