[ Success Story ]
Anders Hawerman
Managing Director
MBBM VAS SE
Managing Director
MBBM VAS SE
3 Min
+ + + How to get started today: The strategic lever at the beginning of the value curve + + +
Born from the established engine operations of Renault and Geely, Horse Powertrain emerged as an independent global player – with one decisive advantage: no grown IT infrastructure, no legacy issues, no on-prem constraints. The company was faced with a fundamental architectural decision:
Horse Powertrain deliberately decided against any form of on-premises infrastructure and opted for a fully cloud-based NVH data workflow.
- Classic structure (servers, file systems, IT operations)
- Consistently service-based cloud approach
Horse Powertrain deliberately decided against any form of on-premises infrastructure and opted for a fully cloud-based NVH data workflow.
01
NVH data management without an existing structure
Opportunity, but also risk: Structure must be clearly defined from the outset
- Large amounts of raw NVH data
- No established:
- File Server Structures
- Data Conventions
- Legacy processes
Opportunity, but also risk: Structure must be clearly defined from the outset
02
Expert-driven analysis work
The focus is not on automation, but on Efficiency in the Expert Workflow
- NVH engineers continue to work in:
- HEAD acoustics and PAK
- Requirements:
- Structured filing
- Quick access
- Traceability of measurement campaigns
The focus is not on automation, but on Efficiency in the Expert Workflow
03
Avoidance of classic IT complexity
The goal: Consume IT entirely as a service
- No interest in:
- Server operation
- Maintenance
- Infrastructure scaling
- Backup/Security Infrastructure
The goal: Consume IT entirely as a service
In our development programs for the next generation of hybrid engines, we generate enormous amounts of test bench and vehicle data. With NVH-One, we organize them centrally and make them available across locations. Teams evaluate measurement campaigns faster, share insights between projects, and make development decisions based on consistent data.
Henrik Hedberg
Team Leader Powertrain NVH Development
Horse Powertrain implements a minimalist but technically clean cloud data architecture based on:
01
Cloud as a central NVH data backend
- Upload NVH measurement data directly to the cloud
- Centralized data storage and retrieval
- Global availability
02
Structured data organization
No “file server chaos”, but explicitly modeled data structure
- Project-based filing
- Clear assignment of:
- Measurements
- Variants
- Campaigns
No “file server chaos”, but explicitly modeled data structure
03
Search and Access Functionality
Reduction of “search time” a central efficiency driver
- Targeted search for:
- Projects
- Measurements
- Records
- Quick access to relevant data
Reduction of “search time” a central efficiency driver
04
Integration with existing expert tools
The cloud does not replace the expert system. The cloud structures access to it
- Download / use of the data in PAK
- Analysis still in the usual tooling
The cloud does not replace the expert system. The cloud structures access to it
05
Curated data use (“folder principle”)
Manual but structured further processing can be transferred to automatic pipelines at any point
- Relevant data will be:
- selected
- bundled
- further processed
Manual but structured further processing can be transferred to automatic pipelines at any point
Efficiency
- Significantly reduced search and access times
- No overhead due to IT infrastructure
- Immediately operational database
Quality
- Consistent data structure right from the start
- No historically grown inconsistencies
- Clear project and data assignment
Scaling
- Scalable data processing without infrastructure expansion
- New projects can be integrated without structural adjustments
IT Strategy
- 100% service-based
- No in-house server operation
- No internal infrastructure management
Horse Powertrain shows how a centralized, cloud-based organization of NVH data can speed up expert workflows without complicating infrastructure.
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