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Fabi

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Automate data analysis with AI-enhanced insights.

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Overview

Fabi.ai is an AI-powered data analysis platform that combines SQL, Python, and AI automation to help conquer complex and ad hoc analyses.

Key Features:

  • Power of SQL & Python
  • AI analyst assistant
  • All-in-one platform

Use Cases:

  • Ad Hoc Analysis & EDA
  • Product Analytics
  • Reporting

Benefits:

  • Advanced insights in less time
  • Analytics as code
  • Automate data workflows with AI

Capabilities

  • Automates data analysis workflows and delivery to Slack, Sheets, and email
  • Generates AI-assisted SQL queries for faster data insight retrieval
  • Transforms datasets using advanced Python-based analysis and modeling
  • Integrates seamlessly with data platforms such as Snowflake, BigQuery, PostgreSQL, and Redshift
  • Creates and publishes interactive, customizable reports for cross-functional teams
  • Builds AI-powered workflows for automated reporting and data management processes
  • Delivers proactive insights and predictive analytics to inform strategic decisions
  • Facilitates self-service data exploration through interactive, filterable dashboards
  • Analyzes customer, product, and business metrics to identify actionable patterns
  • Powers A/B testing, churn prediction, sales forecasting, and pricing optimization
  • Centralizes and blends data from multiple sources with in-memory joins
  • Generates summaries and insights to improve internal collaboration via Slack
  • Supports advanced statistical modeling and machine learning workflows
  • Enhances code debugging and troubleshooting with AI assistance
  • Simplifies complex data visualizations and schema mapping using AI
  • Enables seamless integration of AI-enhanced data into third-party applications
  • Drives feature impact analysis and forecasts critical business metric changes
  • Empowers teams with tools for debugging, funnel building, and strategic investigations
  • Builds custom connectors and workflows for unique data applications
  • Identifies anomalies in user behavior for targeted product improvements
  • Pushes AI-enriched data to various operational and analytical platforms
  • Streamlines real-time analysis and reporting from application databases
  • Encourages collaborative problem-solving through shared real-time insights

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