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Help Original Equipment Manufacturers streamline RCA process by leveraging cross-cloud capability from Snowflake and build a robust architecture with unified, scalable, and secure data platform by centralizing data storage and processing in Snowflake leading to better collaboration and meaningful insights.

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Root Cause Analysis for Vehicle Product Quality with Snowflake

Overview

In the modern automotive industry, Original Equipment Manufacturers (OEMs) typically manage their data using a hybrid cloud approach. For example, connected mobility data, including vehicle and telematics information, might be stored in AWS US-West-2, while parts manufacturing data resides in GCP US-Central-1. Meanwhile, supplier quality data may be housed in another cloud or region, such as Azure US-West-2. This specific cloud and region variation is just an example, but the underlying strategy is clear: to prevent over-dependence on any one particular public cloud vendor. However, this multi-cloud approach introduces several challenges, particularly when it comes to conducting a Vehicle Quality Root Cause Analysis (RCA).

The Cross-region data sharing from Snowflake offers a robust solution to the multi-cloud challenges by providing a unified, scalable, and secure data platform. By centralizing data storage and processing in Snowflake, OEMs can streamline the RCA process, enhance collaboration, and derive meaningful insights, ultimately leading to better decision-making and improved vehicle quality.

Step-By-Step Guide

For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.

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Help Original Equipment Manufacturers streamline RCA process by leveraging cross-cloud capability from Snowflake and build a robust architecture with unified, scalable, and secure data platform by centralizing data storage and processing in Snowflake leading to better collaboration and meaningful insights.

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