Before you start working with predictive models for CSI Score, learn about the predictive modeling assets of CSI Score installed in your org. Know the predictive modeling tasks completed during CSI Score installation and review AI Models resources to learn about predictive modeling in Data 360.
Required Editions
| View supported editions |
Predictive Modeling Assets Available for CSI Score
| # | Asset | Purpose |
|---|---|---|
| 1 |
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This DMO and data stream consists of synthetic data used to train the predictive models for the composite scores. When the data stream is created, the corresponding data lake object (DLO) is also generated to ingest the synthetic data before it is mapped to the DMO. |
| 2 |
Regression type predictive models:
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These predictive models identify the top drivers for each composite score. The goal of the models is to determine which KPIs have the highest statistical leverage to make sure KPIs with the greatest potential to improve the composite scores are prioritized. Synthetic data from the CSI Score Top Drivers Input DMO trains the models. |
Predictive Modeling Tasks Completed During CSI Score Installation
After CSI Score's predictive modeling assets are installed, the predictive models are trained with synthetic data. The initial model training with synthetic data doesn't consider any company-specific customizations. To train the models with your company's data and KPIs, retrain the models.
AI Models Resources
| Resource | Purpose |
|---|---|
| Key Concepts for Predictive AI | Learn about the key concepts of AI Models and predictive modeling. |
| Implementation Tasks for Predictive AI Solutions | Learn about the task involved in configuring a predictive model. |