Diagram showing enterprise architecture framework leading to operational improvements and higher return on invested capital in automotive sector

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?


Why ROIC and IT Investments Remain Disconnected

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:

  • Reducing work hours by a certain percentage
  • Slight improvements in inventory turnover

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:

  • Executives aim to transform business structure through ROIC but see IT investments as low-impact
  • Operations teams focus on immediate efficiency and lack visibility into ROIC drivers
  • IT and PMs cannot clearly demonstrate which system initiatives maximize ROIC

Enterprise Architecture (EA) plays a critical role in bridging this gap.
https://cioindex.com/topic/ea-in-the-automotive-industry/


Three Core Roles of Enterprise Architecture

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:

  • Structurally linking ROIC drivers with business processes and systems
  • Designing phased investment roadmaps based on impact
  • Ensuring consistency across IT/OT, PLM, ERP, and MES

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


1. Architecture Design Backward from ROIC Drivers

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:

  • Low gross margin: fragmented cost data across design and manufacturing
  • Lack of profitability visibility by product/customer
  • High SG&A: manual processes and system fragmentation
  • Low capital turnover: excess inventory, long lead times, underutilized assets

EA maps these issues to end-to-end processes such as:

  • Order-to-cash
  • Design-to-production
  • S&OP to procurement

This enables clear linkage between system capabilities and ROIC impact—for example:

  • PLM enabling cost visibility during design
  • S/4HANA enabling early detection of unprofitable products

2. Phased Implementation Based on ROIC Impact

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:

  • Phase 1: Improve operating margin
    • Profitability analysis
    • Cost planning integrated with PLM
  • Phase 2: Improve capital turnover
    • Integrated demand and supply planning
    • Inventory and asset optimization
  • Phase 3: IT/OT integration
    • MES-ERP integration
    • Factory-level performance and ROIC tracking

This enables executives to allocate investments based on measurable business impact.


3. Designing a Connected Architecture Across PLM, ERP, MES, SCM

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:

  • Product lifecycle-driven cost management
    • Integration of PLM BOM and routing with ERP costing
  • Seamless S&OP to execution
    • Demand planning linked to production and procurement constraints
  • Factory visibility through IT/OT integration
    • MES operational data combined with ERP financial data

This reduces long-term complexity and avoids ad hoc integrations.


4. Practical Benefits for Project Managers

From a PM perspective, EA provides:

  • Communication with executives in ROIC language
  • Logical prioritization of investments
  • Easier cross-functional alignment
  • Improved system consistency and scalability

EA becomes a common language between business and IT—not just a governance tool.


5. First Steps to Introduce EA in Tier 1 Projects

To incorporate EA into ongoing SAP-centered programs:

  1. Map ROIC drivers to business capabilities
  2. Align capabilities with system functions (SAP, PLM, MES)
  3. Redesign roadmap based on ROIC impact

This transforms projects from feature-driven to value-driven initiatives.


6. Positioning EA as an Investment for ROIC Maximization

EA is often misunderstood as additional overhead.

Instead, it should be positioned as:

  • A blueprint for maximizing ROIC
  • A mechanism for avoiding fragmented investments
  • A decision framework for prioritization

EA is not a cost—it is a strategic enabler for maximizing investment effectiveness.


Conclusion: Making EA Your Strategic Advantage

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:

  • Link ROIC drivers to business and IT architecture
  • Build phased transformation roadmaps
  • Align investments with measurable outcomes

For project managers, mastering EA means turning complexity into strategic clarity.


Reference Links

1. ROIC, value creation, and KPI/driver trees


2. Enterprise Architecture & digital transformation


3. SAP S/4HANA, PLM, MES and automotive suppliers


4. Additional EA & manufacturing strategy references


Disclaimer

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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