Pecan’s platform provides ready-made predictive modeling templates for common business concerns, like customer churn, retention, conversion, subscription renewal, upsell/cross-sell, high-value customer identification, and lifetime value. These templates guide you step-by-step through creating predictive models and generating predictions. In more technical terms, Pecan can build binary and multiclass classification models and regression models. Those types of models can address lots of business questions. You can use Pecan to build a custom model if one of our templates doesn’t suit your needs.

Not long at all! You can connect with your data fast using our pre-built integrations, then quickly identify relevant data for the model template you select. While you can spend more time fine-tuning if you want, you can also quickly iterate and experiment, thanks to our fast modeling capabilities that prepare and train models in 15 minutes or less. Most users who select a modeling template and can use one of our existing integrations should arrive at a first finished model in an hour.

You sure can. Automated approaches to predictive modeling are now widely accepted and used by even the most sophisticated data scientists, who rely daily on AutoML tools to quickly build, evaluate, and select the right predictive algorithms. We’ve tried and tested our automated methods for data cleansing, feature engineering, and model building with thousands of models for hundreds of customers. We’re confident in the results, and you can be, too.

Pecan’s automated processes detect common issues in data quality — such as missing data, outliers, or duplicated data — and fix them. The platform also looks for relationships in your data to identify new features to build, such as aggregations, trends, and other key data points. From hundreds or even thousands of potential features, Pecan identifies the features that really matter for accurate predictions (spoiler: all that is done automatically, too!). These automated steps eliminate much of the tedious, time-consuming work required to create an AI-ready dataset. This preparation also improves models’ performance and helps you get the most value from your data. 

Pecan first automatically trains hundreds of predictive models using a variety of algorithms known to perform well on the kinds of data businesses usually have. Then, the models are all tested and compared behind the scenes. Pecan has the unique capability of allowing analysts to control the business metric that will be used to choose the model so that it answers your business needs. The best-performing model is selected for you to examine and refine in the Pecan interface and to deploy when you’re ready.