This graphic illustrates how enterprise architecture enhances operational efficiency and boosts ROI in the automotive industry.
Tier 1 automotive suppliers are simultaneously facing the shift toward electrification, autonomous driving, and connected vehicles, while also dealing with increasing cost and quality pressures from OEMs.
https://www.sap.com/assetdetail/2022/12/e27ce82b-547e-0010-bca6-c68f7e60039b.html
At the same time, operational and IT environments remain fragmented—built around legacy host systems and optimized individually across production, procurement, sales, and finance. This makes end-to-end visibility across the supply chain and product lifecycle extremely difficult.
https://www.deloitte.com/cz-sk/en/Industries/automotive/blogs/trends-and-strategic-importance-of-it-ot-in-automotive-manufacturing.html
In this context, initiatives involving SAP S/4HANA, PLM, supply chain planning, and MES represent a critical opportunity for enterprise-wide transformation.
https://www.capgemini.com/wp-content/uploads/2021/09/S_4HANA-for-Automotive-1.pdf
However, due to the scale of investment and associated risks, organizations often struggle to answer a fundamental question:
Where should we start to maximize ROIC?
ROIC (Return on Invested Capital) is increasingly used as a key metric for evaluating business portfolio quality and capital efficiency.
https://www.abeam.com/jp/en/expertise/sl406/
Yet, most IT investment discussions remain limited to operational improvements such as:
These improvements are rarely translated into ROIC impact.
https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/selecting-p-and-l-linked-kpis-for-industrial-transformations
This creates a structural gap:
Enterprise Architecture (EA) plays a critical role in bridging this gap.
https://cioindex.com/topic/ea-in-the-automotive-industry/
EA is not just an IT structuring method. It is a management discipline that connects business strategy, processes, data, applications, and technology into a unified transformation roadmap.
https://www.epitomione.com/blog/how-enterprise-architecture-can-facilitate-digital-transformation
In Tier 1 SAP transformation programs, EA delivers three key functions:
This reframes system implementation into a full-scale business transformation program aligned with ROIC management.
https://www.deloitte.com/cz-sk/en/Industries/automotive/blogs/trends-and-strategic-importance-of-it-ot-in-automotive-manufacturing.html
ROIC is defined as:
ROIC=Operating Profit Margin×Capital TurnoverROIC = Operating\ Profit\ Margin \times Capital\ TurnoverROIC=Operating Profit Margin×Capital Turnover
EA begins by breaking down ROIC drivers and linking them to business architecture.
Example breakdown:
EA maps these issues to end-to-end processes such as:
This enables clear linkage between system capabilities and ROIC impact—for example:
Rather than attempting a “big bang” implementation, EA prioritizes investments based on impact and feasibility.
https://www.abeam.com/jp/en/expertise/sl406/
Example phased approach:
This enables executives to allocate investments based on measurable business impact.
Siloed system implementation leads to data fragmentation and suboptimal performance.
https://cioindex.com/topic/ea-in-the-automotive-industry/
EA connects systems through end-to-end processes and shared data models.
Examples:
This reduces long-term complexity and avoids ad hoc integrations.
From a PM perspective, EA provides:
EA becomes a common language between business and IT—not just a governance tool.
To incorporate EA into ongoing SAP-centered programs:
This transforms projects from feature-driven to value-driven initiatives.
EA is often misunderstood as additional overhead.
Instead, it should be positioned as:
EA is not a cost—it is a strategic enabler for maximizing investment effectiveness.
SAP transformation in Tier 1 automotive suppliers is not just a system upgrade—it is a transition to ROIC-driven management.
https://www.sap.com/assetdetail/2022/12/e27ce82b-547e-0010-bca6-c68f7e60039b.html
By leveraging EA, organizations can:
For project managers, mastering EA means turning complexity into strategic clarity.
Parts of this article were developed with reference to generative AI suggestions and were reviewed, refined, and supplemented based on the author’s professional expertise and judgment.
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