Real-time scoring typically involves the following steps:
Data Collection: Gathering real-time data from various sources such as websites, mobile apps, or IoT devices. Data Processing: Cleaning and transforming the data to make it suitable for analysis. Model Application: Applying predictive models to the processed data to generate scores. Action Trigger: Using the scores to trigger specific actions, such as sending alerts or updating user profiles.