Pecan AI - Your AI Co-Pilot for Predictive Analytics

Pecan AI Your AI Co-Pilot for Predictive Analytics

What is Pecan AI?

Pecan AI delivers predictive analytics capabilities designed for data analysts. The platform provides a guided experience, featuring a side-by-side AI co-pilot and notebook that explains and adapts to user needs. With Pecan AI, build ML models using SQL, automate data preparation, and quickly gain valuable predictions.

It offers automated data preparation and simplified connections to diverse data sources. The platform removes tedious work and improves models' performance to generate accurate predictive modeling.

Features

Predictive GenAI: Build customized ML models with a Predictive Co-Pilot, requiring no code.
SQL-Based Modeling: Construct ML models using SQL, eliminating the need for extensive data science expertise.
Automated Data Prep: Unify diverse data sources and automate data preparation and feature engineering.
AI-Guided Process: Benefit from an AI assistant that guides users through the predictive analytics process.
Rapid Deployment: Streamline the entire process, from use case identification to one-click deployment.
Data Security: Import only necessary data to Pecan's cloud; PII is not required for training.

Use Cases

Customer Churn Prediction
Upsell & Cross-Sell Opportunities
Customer Winback Strategies
Predictive Campaign ROAS
Lead Scoring
Demand Forecasting
LTV Forecast

FAQs

How long does it take to build a machine learning model with Pecan?

Most data analysts successfully build their first model in just days using Pecan, thanks to automated data prep, SQL-based modeling, and the generative AI copilot.
How is my data kept secure?

You control which data is imported to Pecan's cloud environment. No PII is required for training, and Pecan employs robust security measures to protect your information.
How does Pecan connect to other data and business tools?

Pecan offers pre-built integrations to many widely used data and business tools for easy connection, and new integrations are constantly being developed.
What data is required to build predictive models using Pecan?

Generally, Pecan needs at least 6 months of event-based data with over a thousand daily events (e.g., purchases, registrations, active users, etc.).
How does Pecan deal with messy data?

Pecan's automated processes detect and fix common issues in data quality, such as missing data, outliers, or duplicated data.