Airbook

Accelerate data analysis and insights generation across teams with native connectors to 150+ data sources, collaborative querying, and visualization tools.
Data Analytics Collaborative Workspace Business Intelligence

Airbook is a collaborative data workspace that accelerates data analysis and insights generation across teams. With native connectors to more than 150 data sources, Airbook easily connects to databases, business applications, and data warehouses. This allows users to analyze data across multiple sources using SQL, Python, or no-code interfaces.

Airbook includes a range of features:

  • Connect: Connect data sources with native connectors to more than 150 data sources.
  • Query: Write and run queries with a notion-like interface that combines text and querying abilities.
  • Collaborate: Collect requirements, share context and collaborate on live data without sending emails or taking screenshots.
  • Visualizations: Select from a range of visualization options to create reports.
  • Save Queries: Create reusable SQL queries across the workspace.
  • Version Control: Keep track of and restore query versions as needed.
  • Chain Queries: Reference one query in another to analyze data more efficiently.
  • Chart Builder: Create charts without having to write SQL.
  • Air AI: Use AI to generate, correct and explain SQL code (coming soon).

Airbook supports a variety of integrations, including AWS CloudTrail, Amazon Redshift, Facebook Ads, Google Analytics, Hubspot, Intercom, Marketo, Mixpanel, MySQL, Salesforce, Shopify, Snowflake, and more.

Airbook can be used for a variety of use cases, including:

  • Marketing Analytics: A/B testing, affiliate program analysis, advertising attribution analysis, brand perception analysis, and channel partner analysis.
  • Sales Analytics: Deal desk analysis, sales collateral analysis, sales deal velocity analysis, sales commission analysis, and sales funnel analysis.
  • Product Analytics: Product feature prioritization analysis, product usage analytics, product feature usage analytics, product mix optimization, user funnel analysis, and user retention analysis.
  • Customer Analytics: Customer advocacy analysis, customer feedback analysis, customer loyalty analysis, customer retention analysis, and customer satisfaction surveys.
  • Financial Analytics: Average revenue per user (ARPU) analysis, pricing strategy analysis, purchase funnel analysis, customer lifetime value analysis, and revenue retention analysis.

Airbook is designed to be a single platform where data and business teams can collaborate and get insights from multiple data sources. By making data analysis more accessible and streamlined, Airbook empowers teams to make more informed, data-driven decisions.

Published on June 13, 2024

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