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ML Analytics with dbt

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Infer gives analysts extra SQL commands to solve business-critical use cases.

Getting started with Infer takes minutes. Connect your data sources and start finding deep insights using SQL.

Setup any query to run on a schedule and save the output in your data warehouse. Create GPU-powered predictive pipelines at the click of a button.

Use Infer natively in dbt and bring next-generation analytics to your dbt models using our dbt-infer integration.

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Infer extends any SQL dialect to have new analytics commands. Built for analysts to unlock superpowers directly in their data warehouse, dbt models, and BI tools.

Explainability is at the core of Infer - everything is explainable. Infer's EXPLAIN command allows the analyst to quickly gain insights into what is driving churn, product metrics, life time value, and much more.

Analysing text is a pain. Infer makes it easy: TRANSLATE text, analyse SENTIMENT, and find TOPICS. Complex analysis, simple keywords.

With Infer, we find the most important insights and distill them into intuitive visualisations to help you understand your data as quickly as possible.

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Churn analysis is the process of identifying and predicting customers who are likely to terminate their relationship with a company or service.

Churn Analysis

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Text analysis is the process of deriving meaningful insights from text data by using natural language processing (NLP) techniques and tools.

Text Analysis

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Customer segmentation is the process of dividing a customer base into smaller groups with common characteristics.

Customer Segmentation

Lead scoring is a method to evaluate and prioritize leads based on the their potential value to the organization.

Lead Scoring

Demand forecasting is the process of predicting the future demand for a product or service.

Demand Forecasting

User similarity search is a technique that can be used to identify other users who have similar characteristics or behaviors.

User Similarity Search

Life Time Value

Product Analytics

Marketing Analytics

Conversion

Fraud Analysis

Credit Scoring

Use Cases

Infer's commands are built with analysts in mind. We handle the complex algorithms and infrastructure so that you don't have to. Unlock deeper business insights quickly and confidently.

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BigQuery, Snowflake, DBT - use Infer wherever your data is. Connections to visualisation tools (Looker, Tableau, PowerBI) coming soon!

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Learn how to use SQL-Inf and Infer to do explainable predictions with ease. If you are new to Infer, this is a good place to start.

Getting started with Infer

Perform advanced ML Analytics in DBT using SQL-inf and Infer.

Getting started with dbt-infer

Examples of how to use Infer with dbt to perform next-generation analytics.

Examples of using Infer with dbt

Learn how to build your customer segmentations using SQL-inf and dbt

Building a Customer Segmentation using dbt and SQL-inf

Next-Generation Analytics

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Infer gives analysts superpowers. Find insights, make predictions, and identify patterns. All within SQL.

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Next-Generation Analytics

Effortlessly integrates with your data stack.

Solve any use case

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Connect Infer to all your favourite analyst tools.

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