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Infer

Infer predicts outcomes, optimizes sales, and analyzes data within various business tools using AI-powered insights.
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Infer

What is Infer?

Infer is a versatile software that provides valuable insights and recommendations seamlessly integrated into various business tools like CRM, ad platforms, email tools, and data warehouses. It allows users to predict outcomes and optimize sales funnels, create AI-powered forecasts within CRM, measure sales KPIs for real-time decision-making, and analyze data patterns within SQL. Recent launches include Coworker AI, a revolutionary tool for data analysis powered by the Infer platform. Additionally, dbt-infer brings next-generation analytics to SQL and dbt through ML-powered commands, enabling users to find insights, make predictions, and identify patterns within SQL efficiently and effectively.

Who created Infer?

Infer was created by a team at the company named dbt. The founder of dbt, the company behind Infer, is known for bringing next-generation analytics to SQL through ML-powered commands, enabling users to find insights, make predictions, and identify patterns directly within SQL. dbt's innovative approach has streamlined analytics processes and enhanced data analysis capabilities for users.

Who is Infer for?

  • Sales Representatives
  • Analysts

How to use Infer?

To use Infer effectively, follow these steps:

  1. Predict with Custom AI Forecast: Create a forecast within your CRM to identify which prospects are most likely to convert, helping your sales teams prioritize leads efficiently.

  2. Analyze Real-time Sales KPIs: Receive notifications on key metrics like Revenue and Conversion Rates, understand changes instantly, and adjust strategies in real-time for optimal performance.

  3. Integrate with Data Connectors: Infer seamlessly integrates with major data connectors, allowing you to both read from and write to various data sources, enhancing data analysis capabilities.

  4. Utilize SQL Superpowers: Infer empowers analysts by providing insights, predictions, and pattern identification directly within SQL, enabling efficient data analysis.

  5. Explore Coworker AI: Discover new analytics capabilities with Coworker AI, a feature powered by the Infer platform that revolutionizes data analysis with ML-driven insights and storytelling.

  6. Try dbt-infer: Incorporate next-generation analytics into SQL and dbt with dbt-infer, leveraging ML-powered SQL commands for insights, predictions, and pattern recognition seamlessly within SQL.

  7. Provide Feedback: Help improve Infer by sharing your experience through reviews, highlighting what works well and areas for enhancement to benefit other users.

By following these steps, you can harness the full potential of Infer for enhanced data analysis and prediction capabilities.

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