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Welcome to Bytek Prediction Platform Documentation

What is Bytek Prediction Platform?​

Bytek Prediction Platform is a Composable Customer Prediction Platform that enables companies to describe and predict customer behavior using first-party data. It integrates seamlessly with a data warehouse, allowing businesses to activate customer insights within their existing marketing stack.

Core Components​

The platform consists of three key components:

  • AI Models: Enhance datasets with behavioral and predictive insights (e.g., Action Prediction, Interests, RFM..).
  • Identity Resolution: Unifies customer data under a single user ID, reconciling multiple identifiers.
  • Integration Modules: Activate customer insights across marketing platforms (e.g., advertising systems, email marketing, BI databases).

Understanding the Platform​

To leverage Bytek Prediction Platform effectively, it is essential to understand:

  • The modular structure and its components.
  • How AI models work and their configuration.
  • The data warehouse structure, including user and event tables.

What You Will Find in This Documentation​

This documentation covers:

  • Data Warehouse Prerequisites: How to structure data in BigQuery.
  • Setup & Configuration: Connecting your data warehouse, configuring identity resolution, and field mapping.
  • AI Models: Understanding and configuring predictive models.
  • Integration Modules: Using Bytek Prediction Platform to activate data within your marketing stack.

This guide provides the essential information to help you deploy and optimize Bytek Prediction Platform, ensuring seamless integration and maximum impact for your marketing strategies.