Success Stories
The path to sustainability: digital innovations for a greener future
Industry: Automotive manufacturer | Timeframe: 1.5 years | Team size: Up to 7 consultants
The future of mobility is green and our customer – a leading German car manufacturer – is setting standards to deliver on this promise. In line with the 2015 Paris Climate Agreement, our customer is pursuing ambitious plans to drastically reduce CO₂ emissions – from the supply chain and production to the use phase and recycling. Read how targeted projects and smart technologies are redefining the automotive industry’s ecological footprint.
Against the backdrop of the Paris Climate Agreement, our customer is facing the challenge of significantly reducing its emissions and at the same time setting innovative standards in vehicle development. This project aims to digitize, further develop and optimize the company’s existing systems and tools to meet growing demands. Targeted measures during vehicle development and precise CO₂ reporting in the Group-wide annual report will pave the way for a more sustainable future. Together with our customer, we were able to transform the existing system landscape and thus lay the foundations for greener mobility.
The Challenge
- Complex coordination processes with specialist departments: Adapting the evaluation process for individual vehicle parts requires extensive coordination with up to seven different specialist departments. The large number of stakeholders involved makes this process time-consuming and complex.
- Non-transparent and manual data supply for reporting: Data procurement for CO₂ reporting is a highly manual and complex process with many dependencies due to the lack of automated interfaces. The lack of transparency regarding dependencies and the data model leads to immense effort in data preparation.
- Inadequate data architecture: As the customer’s sustainability target image is currently under construction, there is currently no overarching data architecture. The result is an opaque data structure with a high level of complexity, unused synergies and reduced efficiency.
- Complex Excel landscape and diverse data interfaces: External stakeholders request and evaluate data via a large number of Excel files. These must be checked internally and the evaluations successively transferred to the overall vehicle level. The complexity of this Excel landscape poses a considerable challenge, particularly due to the numerous different data interfaces.
"In an environment full of challenges, we were able to make the project a success thanks to the partnership-based collaboration and solution-oriented expertise of Ventum Consulting. Together, we have paved the way for a more sustainable future."
Product Owner Product Sustainability
The Success Journey
01
Identification and realization of potentials in data supply
By modeling the actual data supply, it was initially possible to create transparency about the current data landscape. Subsequently, optimization potentials were defined and quick wins were implemented directly.
02
Development of an MVP and ongoing optimization
Within six months, an MVP (Minimum Viable Product) was launched as part of the project in order to digitalize and standardize the evaluation of vehicle parts. Valuable feedback from the testers in the specialist area enabled further potential to be identified and implemented during the development phase.
03
Step-by-step process optimization based on a target architecture
The MVP developed covers the initial step in the evaluation process. Through testing, possible challenges in the digitalization and further development of the overall process can already be anticipated. An overarching target architecture and roadmap were developed, which form the basis for continuous further development.
The Impact at Launch
- Increased efficiency in the evaluation of vehicle parts: The enhanced MVP is being successively rolled out to seven specialist departments. The new tool will significantly reduce the effort required by developers in the evaluation of vehicle parts and the provision of data by external stakeholders. The overall solution will achieve significant efficiency gains for several thousand users.
- Long-term optimization of the data supply: Based on the current data modeling, it was possible to develop a long-term target picture of the data supply – in addition to quick wins. This is aimed at exploiting synergies and reducing complexity in the data landscape. The target picture will be implemented step by step in 2025.
- Standardization in the evaluation process of vehicle parts: By digitizing a uniform and central process, the evaluation of vehicle parts is largely standardized. This leads to fewer deviations in the assessments and makes them comparable across departments.
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