Engineering Digital Transformation: Modernizing ALM for a Global Automotive Leader

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Engineering Digital Transformation: Modernizing ALM for a Global Automotive Leader

25% Productivity Increase 100% Compliance Achieve

Client Profile

Our client is an advanced R&D hub for electronics and mechatronics. They are a key
global automotive component manufacturer with over six decades of industry
presence. The company drives innovation for a diverse portfolio, serving leading OEMs
and Tier-I suppliers. With facilities in Pune and Bangalore, it focuses on developing
cutting-edge automotive electronics and system solutions, emphasizing quality,
compliance, and rapid innovation

Business Challenges:

Client faced significant hurdles in its engineering lifecycle management,
hindering efficiency and innovation

Fragmented Tools & Data Silos:

Requirements, design, testing, and changes were managed in isolated
tools and spreadsheets, causing version mismatches and duplication

Limited Traceability:

Inability to maintain consistent links between stakeholder
requirements, design, tests, and defects created compliance risks (e.g.,
for functional safety standards)

Manual Reporting:

Generating audit and customer reports was time-consuming and
error prone

Inefficient Change Management:

Lack of a unified process to evaluate change impact led to
delays and frequent rework

Inconsistent Processes:

Absence of standardized workflows across teams led to
inefficiencies in reviews, testing, and release management

Collaboration Barriers:

Distributed teams lacked a central platform for real-time
collaboration, causing misalignment

Our Solution

MicroGenesis implemented a comprehensive IBM Engineering Lifecycle Management
(ELM) platform, tailored to client’s processes to enable seamless collaboration and
end-to-end traceability

Strategic Implementation:
Duration: Phased rollout followed by a Managed Services model.
Approach: Hybrid Agile/Scrum methodology.

Key Technical Components

Single Source of Truth: Centralized platform for requirements (DOORS
Next), testing (ETM), work management (EWM), and reporting (JRS).
End-to-End Traceability: Achieved 100% bidirectional linkage from stakeholder
requirements through design, test cases, and defects.
Process Standardization: Custom Agile templates for Epics, Stories,
Tasks, and Milestones.
Change Impact Analysis: Integrated workflows to assess and track changes,
reducing assessment time from days to hours.
Compliance Automation: Automated baseline and report generation via
ELO-Publishing for instant audit readiness

Integration Ecosystem

Core Platform: Jazz Platform (JTS, WebSphere Liberty, Db2).
Systems Design: Integrated with IBM Rhapsody for model-based
systems engineering.
Infrastructure: Secured on-premises deployment within client’s network.

Adoption Enablement

Hands-on training for users
and administrators.
Custom user guides and best practice
documents for long-term self-sufficienc

Quantified Outcomes:

The IBM ELM implementation delivered significant efficiency gains and strategic advantages:

Standards-Compliant Process Management:

Requirement-to-Test
Cycle Time
Change Impact
Analysis
Process Deviation &
Rework
Audit Compliance
Effort
Tool Licensing &
Maintenance
Cross-Location
Collaboration
Manual, disconnected
processes
Manual assessment
taking days
Inconsistent team
workflows
Manual evidence
gathering
Multiple legacy
tools
Email, scattered
files
Streamlined,
centralized workflows
Automated workflows
& linked artifacts
Standardized Agile
processes across teams
Automated traceability
& reporting
Consolidated ELM
platform
Real-time updates &
shared visibility
25% faster
Reduced to a few
hours
20% reduction
Zero major
non-conformities
~15% annual savings
30% fewer delay

Strategic Outcomes:
Established a future-proof, scalable ALM
foundation for complex automotive programs.
Achieved full regulatory and audit compliance
with automated evidence generation.
Enhanced collaboration and decision-making
for distributed engineering teams.
Enabled a seamless transition to managed
services for ongoing optimization