Manufacturer Reduces Time to Market with an Enterprise Knowledge Graph for Unified Testing Data

The Challenge

Vehicle testing is a time-consuming, yet essential, process for automotive OEMs. Test data needs to be collected and organized in order to troubleshoot and fix any defects before full-scale production begins.

The major Japanese auto manufacturer was struggling to make their critical test information useful for long-term product validation management (PVM). The manufacturer's product validation life cycle wasn't working because non-standardized vehicle test data couldn't effectively identify the root cause of problems, much less fix them.

Engineers from diverse domains – and even within the same domain – conducted tests differently and stored that test data in a variety of formats using different tools. As a result, data was inconsistent and siloed, rendering it useless to other teams.

The Solution

Working with iASYS, the auto manufacturer decided to build a knowledge graph in Neo4j and integrate the whole product validation life cycle using the BRIX PVM solution.

The iASYS team designed a knowledge graph using Neo4j that connected all product validation life cycle data and allowed for enterprise-wide integration of domains and functions. They also created an engineering dictionary in the knowledge graph where key metadata was defined, such as test types, measurement characteristics, and measurement conditions.

iASYS then mapped the manufacturer's engineering domains onto a new standardized validation process. Meanwhile, BRIX PVM provided well-defined semantics for tests, subtests and measurements that enabled engineers to communicate across domains and platforms.

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