Case Study

Cost-efficient cloud solutions for the automotive industry

With our support, a subsidiary of a leading automotive manufacturer was able to identify over €5.5 million in cloud costs that it can save each year in the future with targeted FinOps measures.

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#FinOps
#Cloud Computing
#Automotive Industry

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The challenge

Empower decentralized teams to understand their cloud costs, identify optimization opportunities, establish a sustainable FinOps culture, and thus generate maximum business value from cloud investments in the long term.

The scenario

Decentralized cloud management

Predictive maintenance, networked services, internal data management: cloud solutions are used in many areas by our customer, the technology subsidiary of a leading international automotive group. Different departments work with and on these solutions every day and make decisions that influence cloud costs.

After all, not only the choice of provider or license model has financial implications; the specific design and use of the infrastructure are also crucial. Since the departments mostly operate independently of each other, the customer had a hard time getting a complete overview of their cloud costs and managing them holistically.

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The solution

FinOps: breaking down silos and thinking holistically

Today, a central team trained and equipped by Cortex Reply and Cluster Reply promotes the cost-efficient use of Azure cloud resources and group-wide awareness of the financial impact of the small and large decisions that the various departments make every day. To do this, they provide the departments with customized dashboards and reporting tools developed and implemented by Reply’s experts. The employees can use these to reliably keep track of their cloud costs themselves. In addition, the team promotes exchange between the different departments and offers training and advice on cost-efficient implementation of individual projects benefiting from committed use discounts. In doing so, it follows new processes created by Cortex Reply and Cluster Reply according to the FinOps framework, an approach that strengthens collaboration between development, finance and specialist departments, breaking down silos, increasing transparency and empowering data-driven decision-making.

The result

Sustainable strengthening of competitiveness

With our support, the customer was able to identify more than 5.5 million euros in cloud costs that can be saved each year through FinOps measures. However, thanks to Reply's extensive training, this is just the first step of many. Reply's experts will continue to support the company in this.

Thanks to the central FinOps team, the company now has the necessary know-how to continue on the path to ever more cost-efficient cloud use and thus promote its long-term competitiveness.

Cortex Reply

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Cortex Reply is a Reply Group company specialising in FinOps, IT financial management (ITFM) and IT sustainability consulting. Its experts help organisations to manage their IT spend transparently, optimise costs and maximise the value of their IT investments. They work with clients' IT, finance and business departments to implement best practices for efficient IT utilisation and financial management - in multi-cloud environments and across the entire IT landscape. The aim is to create greater transparency and control over IT costs, identify inefficiencies and establish sustainable and scalable processes through automation. This is how a future-proof IT infrastructure emerges - combining economic efficiency with sustainable responsibility.

Cluster Reply

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Cluster Reply is the Reply Group company specialising in consulting and system integration of Microsoft technologies. As a Microsoft partner, Cluster Reply is active in Germany, Austria and Switzerland and works within the Reply network with sister companies in Brazil, Great Britain, Italy as well as the USA. The company focuses on innovation and supports customers in their digital transformation. The solutions range from on-premises to cloud applications in the areas of modern workplace and security, business applications, applications and infrastructure as well as data and artificial intelligence.