From Cost Centers to Profitability: How a Multi-Billion-Dollar MedTech Division Built a Driver-Based Planning and Allocation Framework
In a complex organization, knowing how much the business spends is only the beginning. Finance also needs to understand where a cost originates, what drives it, where it is ultimately consumed, and how it affects profitability.
For a product division within a multi-billion-dollar MedTech company, that connection was difficult to establish. Workforce, operating expenses, projects, and capital investments originated in different organizational structures, while the financial impact of those activities often needed to be attributed elsewhere based on how resources were actually consumed.
Planning across these areas was largely manual, and allocation logic was disconnected across processes. Finance could see the cost at its point of origin, but developing a reliable view of how those costs ultimately affected functional and profit-center performance required significant effort. The challenge was therefore not simply to automate planning. It was to create a driver-based financial model of how resources and costs actually move through the organization.
UVID designed an integrated planning and allocation framework that connected workforce, OpEx, projects, and capital investment through to functional and profit-center profitability.
The Problem
The division’s cost-planning environment created a fundamental management challenge:
Where does a cost originate, what drives it, and where should it ultimately be reflected in performance?
Several factors made that question difficult to answer consistently:
- Manual planning across cost domains: Workforce, OpEx, project, and CapEx planning relied significantly on spreadsheets and manual effort.
- Complex cost movement: Costs originated in one organizational structure but often needed to be attributed elsewhere based on business drivers.
- Multiple allocation structures: Cost centers, Project Life Management (PLM)/WBS structures, internal orders, and profit centers each played different roles in how costs moved through the organization.
- Disconnected allocation logic: Allocation methodologies were not consistently connected across workforce, operating expense, project, and capital planning.
- Limited profitability visibility: Finance had difficulty establishing a reliable view of where costs ultimately landed and how they affected functional and profit-center economics.
- Investment impact was not fully connected: Capital investment needed to be linked through its downstream financial consequences, including assets, depreciation, operating costs, and financial statements.
The underlying need was therefore broader than planning automation. The organization needed economic traceability, a structured way to follow resources and costs from their point of origin through to where they were ultimately consumed and reflected in business performance.
- Date: August 17, 2026
- Client: Product Division of a Multi-Billion-Dollar MedTech Company
- Location: North America
- Category: Case Study, Med-Tech
- Website:
The Solution
Workforce Planning: Connecting Resources to Where They Are Consumed
Workforce planning followed the flow:
Employee / New Hire → Headcount & Salary → Cost Center → FTE-Driven Allocation → PLM/WBS / Profit Center
Headcount and salary planning fed the appropriate cost centers.
Instead of relying on fixed percentages maintained manually in spreadsheets, FTE-driven allocation logic determined how workforce costs moved to the projects and profit centers where those resources were actually consumed.
This created a more direct relationship between workforce decisions and financial performance.
Operating Expense Planning: Moving Beyond Fixed Allocations
Operating expenses were planned at the cost center or internal order level and then systematically allocated through business drivers to the functions and profit centers responsible for consuming those resources.
The architecture connected:
Cost Center / Internal Order → Driver-Based Allocation → PLM / Profit Center → Functional P&L
This replaced disconnected allocation activity with a more systematic relationship between operational activity and financial outcomes.
Project Planning: Connecting WBS Economics to Profitability
Project-based resource and cost planning was integrated into the same allocation framework.
The flow was:
Projects / WBS → Resource & Cost Planning → Allocation → Profit Center
This ensured project economics did not remain isolated from the broader financial model.
Instead, project-related resources and costs flowed through to the profit-center results where their financial impact needed to be understood.
Capital Investment: Connecting Investment Decisions to Financial Statements
Capital planning was connected to its downstream financial impact.
The model incorporated:
Approved / New CapEx + Existing Assets → Depreciation Projection → Cost Center → P&L
Existing assets provided the basis for depreciation forecasting, while planned investments generated forward-looking depreciation that flowed into the appropriate cost centers and financial plan.
This created an end-to-end connection:
Investment Decision → Asset → Depreciation → Operating Cost → Financial Statements
Capital investment therefore became part of the broader financial planning model rather than remaining a standalone planning input.
A Common Driver-Based Financial Architecture
The four planning domains were connected through a common architecture:
Workforce + Operating Expenses + Projects + Capital Investment
↓
Driver-Based Allocations
↓
P&L
↓
Balance Sheet
↓
Cash Flow
Each planning process retained the detail necessary for its own management requirements, while its financial consequences flowed into a common model.
This created consistency without requiring every planning process to operate identically.
Business Outcomes
The transformation replaced disconnected, spreadsheet-driven planning across workforce, OpEx, projects, and CapEx with a driver-based financial model representing how resources and costs actually move through the business.
Economic Traceability
Finance could trace resources and investments from their point of origin through to the costs they created and where those costs ultimately affected functional and profit-center performance.
Driver-Based Allocations
FTE-driven and business-driver-based allocation logic replaced fixed percentages maintained manually, allowing operational activity to influence financial outcomes more systematically.
Connected Cost Domains
Workforce, operating expenses, projects, and capital investment continued to be planned at the appropriate level of detail while flowing through one allocation and reporting architecture.
Reliable Profitability Visibility
Finance gained a more systematic view of where costs landed at the functional and profit-center level, rather than reconstructing that picture manually each cycle.
Investment Impact Visibility
Capital investment decisions were connected to their downstream financial consequences—from asset creation and depreciation through operating cost and financial statements.
Reduced Manual Planning Effort
Automation of allocation logic and integration across workforce, OpEx, project, and CapEx planning reduced the spreadsheet-driven effort supporting these processes.
