Case Study

Enhancing Supply Chain Traceability and Data Leadership at Johnson & Johnson

Johnson & Johnson (J&J) operates a global supply chain that requires advanced data-driven solutions to optimize procurement, traceability, and cost simulation. To enhance efficiency and sustainability, J&J launched two major programs:

TraCS (Traceability & Cost Simulation) – Designed to improve supply chain traceability and simulate procurement costs under different scenarios.
Sustainability Program – Aimed at tracking and reducing environmental impact by embedding sustainability data into decision-making.

Company

Johnson & Johnson

The Challenge

TraCS Program

Despite strong product knowledge, the lack of data leadership and a structured strategy led to:

Low user adoption of data-driven decision-making.
Heavy reliance on outsourced teams, limiting internal capabilities.
Unstructured engagement between business and analytics teams, causing misaligned priorities.
Limited ability to simulate procurement costs, leading to inefficiencies in supply chain decisions.

Sustainability Program

The business teams were ambitious but lacked direction in defining prioritized use cases and measurable sustainability KPIs. Without a structured roadmap, execution was uncertain, and progress was difficult to track.

Our Approach

For TraCS

Data Roadmaps applied a structured data leadership framework to:

Map data product components to business outcomes, aligning TraCS with real supply chain needs.
Facilitate hands-on training workshops to increase internal expertise.
Reduce dependency on outsourced teams by enabling in-house teams to manage data strategy.
Establish analytics translator roles to bridge communication between business and data experts.
Improve data flow and procure simulation models for better decision-making.

For Sustainability

Data Roadmaps structured an iterative, results-driven roadmap by:

Prioritizing high-impact business use cases aligned with corporate ESG goals.
Defining measurable sustainability KPIs to track progress and drive accountability.
Implementing a ‘Start Small, Scale Smart’ strategy, proving concepts before full-scale adoption.
Embedding sustainability insights into business workflows to ensure long-term impact.
Applying lessons from TraCS to establish a strong program leadership model.
Laying the foundation for ongoing improvement, ensuring a smooth knowledge transfer.

Key Deliverables

Data Strategy Blueprint for TraCS and the Sustainability Program.
Interactive Training Sessions to upskill internal teams.
Framework for Engaging Analytics Translators in business decision-making.
Optimized Vendor Engagement Model, improving data product quality and delivery.
Sustainability Roadmap, defining phased implementation and key measurement milestones.

Results

43%

Increased internal adoption of data strategy thinking by 43%, improving decision-making speed.

47%

Reduced reliance on outsourced teams by 47%, strengthening J&J’s internal data capabilities.

22%

Improved accuracy of procurement simulations, leading to a 22% cost optimization in sourcing decisions.

Enhanced cross-functional collaboration, improving alignment between supply chain leaders and data teams.

ESG

Established clear execution for Sustainability KPIs, ensuring ESG compliance and measurable environmental impact.

Successfully launched the Sustainability Roadmap, driving long-term improvements in operational sustainability.

Why It Matters

By applying data leadership and structured engagement strategies, Data Roadmaps enabled J&J to:

Build self-sufficient teams to manage supply chain analytics independently.
Enhance traceability and decision-making through improved data strategy.
Embed sustainability metrics into business operations, ensuring long-term ESG impact.

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