By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.
| Type | Description |
| Calculated Insights | Develop insights such as engine performance and wear-and-tear metrics. Use vehicle telemtry data to build insights related to customer driving habits, customer location history, and driving preferences. Combine vehicle maintenance history and real-time performance data to accurately assess a vehicle's overall health. Integrate purchase data, service history, and loan/lease payments to understand the total value of every driver. |
| Predictive Models | Build models that provide service agents with personalized, next best actions based on vehicle usage and drive preference data. Developer models to help predict upcoming maintenance needs using vehicle health data so you can practively schedule service appointments. Leverage machine learning models to develop propensity to buy scores that can suggest what upgrades might be relevant to your customers. |
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