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.
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.
To use Infer effectively, follow these steps:
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.
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.
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.
Utilize SQL Superpowers: Infer empowers analysts by providing insights, predictions, and pattern identification directly within SQL, enabling efficient data analysis.
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.
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.
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.
I appreciate the predictive capabilities of Infer. It has helped me understand potential sales outcomes better.
The integration process with existing tools can be a bit cumbersome and time-consuming.
Infer assists in forecasting sales trends, which allows for better resource allocation, but the learning curve is steep.
The AI-driven insights are very insightful, especially the way it integrates with our CRM and ad platforms.
Sometimes the real-time analysis lags, which can be frustrating during critical decision-making moments.
It helps in optimizing my sales funnel, which has improved our conversion rates by providing actionable insights.
I love the detailed analytics it provides, especially with SQL. It makes data analysis much easier for my team.
The user interface could be more intuitive; there are times it feels overwhelming.
Infer allows us to measure our sales KPIs effectively, leading to more informed, data-driven decisions.