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Advanced Analytics:
For Manufacturing and
Automotive Industries

We offer robust data and technology innovation to optimize consumer
and commercial strategies while considering functional safety


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Confidently Engineered.
Intelligently Designed. 

We offer tailored data management solutions that guide our client's digital transformation. 

In today’s information-focused world, there is an influx of data available on everything from quality warranties to factory utilization. The challenge? Knowing how to leverage that data and turn it into actionable insight.

Whether you’re in the transportation, medical, or manufacturing field, we will help you better utilize and understand your data - no matter if you’re dealing with the Internet of Things (IoT), connectivity, or digital transformation.

Testing, Connectivity, and Analytics


Better Decision-Making via Better Test Data, Standards Expertise, and Analytics

Software-defined vehicles contain millions of lines of code. Data from new product testing (simulation to post-production), combined with robust analytics, have become critical parts of an organization’s engineering, tech, and operational infrastructure. Leveraging that data to its maximum advantage results in better decision-making and superior future development.

Traditional human on-road validation cannot keep up with the speed at which changes occur on a product and the interactions of the systems within the vehicle. Therefore, regression testing within the vehicle is absolutely required in a safety-critical environment.

LHP offers end-to-end testing solutions, standards expertise, and the crucial data analytics required to drive better data-driven decision-making. Our test-as-a-service and data analytics offerings leverage existing test infrastructure and web-based interfaces to help your team bring new products to market faster, with fewer bugs and diminished risk.

Free eBook:

Why Master Data is Critical in Automotive Development


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Our Approach

We believe in the Agile approach to IoT and analytics (specifically: Distributed Agile Development). When we combine our technology approach to processes, support, and expertise with our business domain and engineering knowledge, results follow.

At a high level, what we try to illustrate below, is an approach of rapid iterations and continuous reapplication of the key insights. Start small if needed and live and learn with your data, prototype often, and get the information to the key stakeholders early and often. This foundational approach yields significant results (50%) from the passes in the first few weeks, with substantial value (80%) by the passes in the second few weeks.

As you follow this approach, the quality of the model, data, and most importantly the business value, improves. Finally, this approach allows you to focus on individual PoCs within a factory, business unit, function, or region, or you can focus on a connected enterprise solution or IoT-connected ecosystem.


Our Work

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