A foundation data model assessment evaluates how an organization's Workday FDM is configured, governed, and aligned to its reporting and compliance requirements.
The business performance assessment surfaces structural gaps, process inefficiencies, and governance risks before they compound into data quality failures or reporting breakdowns.
The Workday Foundation Data Model (FDM) is the core data framework that structures how financial transactions get recorded, reported, and governed across an organization. It replaces the traditional chart of accounts and legacy account strings with a flexible, multidimensional model that spans finance, HR, payroll, and supply chain.
Because the FDM touches every Workday module, its configuration quality shapes everything downstream. Accurate financial reports, reconciled payroll allocations, properly assigned security roles, and automated business processes all depend on a well-built FDM. When the structure deteriorates, finance and HR teams absorb the cost through manual workarounds to produce standard outputs.
Reporting — The FDM defines the dimensions available for financial reporting. Misaligned structures produce reports that fail to reconcile across systems.
Security — The FDM controls how Workday applies security policies to transactions and data. It determines who can view, enter, or approve financial activity.
Business Processes — The FDM drives the routing and approval logic for Workday business processes. Structural errors in the model trigger incorrect routing or processing failures.
A foundation data model assessment evaluates how an organization's Workday FDM is structured, configured, and governed across its full data environment, including data systems, organizational structures, and the processes that connect them. The business performance assessment looks at the gap between how the organization configured Workday at go-live and how the business runs.
The goal extends beyond identifying configuration errors. A strong assessment asks whether the data model still fits the organization: whether it scales to current demands, whether it captures the dimensions needed for future reporting, and whether static structures are limiting what the business can see and act on.
It comes down to examining your Workday environment across five dimensions:
The goal of the assessment is to understand:
The Groove builds the recommended future-state structure using client data inside a live Workday tenant. This deliverable, the Mock FDM, differs from the assessment: it gives stakeholders a hands-on view of the proposed model in a real environment before any changes go live.
Most FDM problems develop gradually. A data structure that worked at go-live starts to strain as the organization changes. New cost centers get added, reporting requirements shift, workarounds become routine, and what was once a clean model accumulates years of incremental decisions that nobody has audited. By the time symptoms are visible, root causes run deep.
These effects touch every system the FDM feeds. Financial reports lose reliability. Payroll costing falls out of sync with finance. Security roles drift from their intended purpose. When an organization tries to introduce AI or advanced analytics tools, it runs into a foundational data quality problem that no tech layer can fix on its own.
During an active implementation — An assessment mid-implementation gives teams the chance to fix configuration decisions while the model is still taking shape.
Post-go-live (first 12–18 months) — Configuration decisions made under implementation pressure often require correction once the organization operates in production.
After a merger or reorganization — Structural changes to the business require corresponding updates to data hierarchies, cost center structures, and security roles.
Before deploying new Workday features — Capabilities like Prism Analytics, Adaptive Planning, and Workday AI tools depend on a clean, well-structured FDM to return reliable outputs.
When introducing AI or data intelligence tools — AI tools amplify whatever data quality exists in the underlying model. A weak FDM produces unreliable outputs regardless of the tool.
On an annual governance cadence — Regular FDM reviews prevent incremental drift from compounding into structural problems requiring a full redesign.
The Groove serves organizations in higher education, state and local government, federal government, nonprofit, and healthcare, to name a few areas of our expertise. Each sector carries FDM complexity that extends well beyond standard commercial configurations. A generic assessment approach misses the constraints that carry the most consequence in each environment.
Grant accounting demands data structures precise enough to support cost allocation, indirect cost recovery, and sponsor reporting simultaneously. When the FDM fails to separate sponsored program expenses from general operating costs, it creates compliance exposure and complicates federal grant audits. Data hierarchies must also support fund-level reporting across sponsored programs, auxiliaries, and general funds without overlap.
Fund accounting standards in government require strict separation between fund types: general, special revenue, capital projects, and debt service. The FDM must enforce those boundaries at the transaction level. Account posting rules play a critical role here, as a misconfigured rule can generate cross-fund transactions that violate appropriation controls and create audit findings.
Federal agencies face data model requirements tied to Treasury reporting standards, FASAB guidance, and agency-specific appropriation structures. The FDM must accommodate appropriation year tracking, reimbursable program accounting, and interagency agreement management. These configurations fall outside what standard commercial implementations address.
Nonprofit organizations manage restricted and unrestricted funds as legally distinct financial streams. The FDM must enforce gift restriction compliance at the transaction level and support functional expense reporting by program, management, and fundraising. Both requirements directly affect IRS Form 990 accuracy and donor accountability.
An FDM assessment diagnoses the current state. It evaluates configuration, governance, and structural alignment without making changes to the data model. An FDM redesign takes a different path: it rebuilds the data model from the ground up, restructuring hierarchies, posting rules, and security frameworks to reflect a new operational reality.
Many assessments reveal targeted problems that organizations can resolve through focused remediation without a full redesign. When an assessment uncovers deep structural misalignment between the FDM and current business requirements, a redesign becomes the appropriate next step. In either case, the assessment gives leadership the evidence needed to make that call with confidence.
The Groove conducts FDM assessments as two- to six-week advisory engagements — the timeline depends on organizational complexity and scope — structured around three parallel tracks: executive alignment, functional review, and technical analysis. The work runs simultaneously across all three, so findings reflect the full picture.
Week one centers on discovery. The Groove engages stakeholders at the executive, functional, and technical levels, evaluates existing HCM and financial data structures, and examines dimensional attributes directly within Workday. The goal is to build a complete picture of how the current model operates and where it diverges from organizational reality.
Week two moves into design. The team develops a recommended future-state Foundational Data Model, stress-tests it against the client's actual data in a Workday tenant environment, and presents findings with a clear view of change impacts and next steps.
The Groove brings sector-specific expertise in higher education, government, and nonprofit, meaning the assessment framework accounts for the regulatory, reporting, and governance requirements unique to each environment.
The Groove identifies FDM gaps before they affect reporting, payroll, or compliance, and builds a clear path forward from day one. Contact us to learn more.
The Workday FDM (Foundation Data Model) is the functional equivalent of a chart of accounts that structures financial transactions, reporting, security, and business processes across finance, HR, and payroll. The quality of its configuration determines the accuracy of every downstream report, payroll allocation, and automated business process Workday produces.