Case Study — Enterprise ERP Transformation

Executing an Enterprise Workday Transformation Across HR, Finance, and Data Governance

A public sector ERP transformation required alignment across HR, Finance, Supply Chain, and enterprise data governance — where execution risk emerged across workflows, data integrity, and organizational readiness.

HR and Finance workflows
standardized across the organization

Operational alignment

Enterprise data governance
model established

Data integrity

Data literacy and stewardship
capability embedded

Organizational capability

Adoption stabilized across
business and operational teams

Post go-live performance

The Situation

A complex ERP transformation with data and workflow fragmentation

BC Assessment initiated an enterprise ERP replacement program using Workday to modernize HR, Finance, and Supply Chain operations while enabling data-driven decision-making.

The transformation included:

Workday HR and Finance implementation
Supply Chain Management (SCM) process redesign
Enterprise data strategy and governance enablement
Modernization of citizen-facing service delivery (CX/UX)
Integration of data management, reporting, and analytics

The environment was complex:

Legacy HR, Finance, and procurement systems with inconsistent data
Limited data governance maturity and unclear data ownership
Disconnected workflows across HR, Finance, and Supply Chain
Low data literacy across business units
Policy-driven processes not aligned to system design

Key challenges emerged early:

Data quality issues impacting system readiness and reporting
Lack of alignment between workflows and data structures
Limited accountability for data ownership and stewardship
Stakeholder understanding of data governance was low
Risk of adoption failure due to poor data practices

Execution risk was emerging across workflows, data, and organizational capability.

Where Transformation Broke Down

Execution risk was systemic, not isolated

Data governance was defined at a policy level but not embedded into operations
HR and Finance workflows were not fully aligned with Workday design
Supply Chain processes lacked integration with master data structures
Data ownership and stewardship roles were unclear
Reporting and analytics requirements were not aligned to data quality realities
Stakeholder readiness for data-driven decision-making was low

The transformation was progressing, but execution lacked alignment across workflows, data, and organizational behavior.

What We Did

Embedded execution alignment across workflows, data, and organizational capability

Synerquest aligned execution across HR, Finance, Supply Chain, and data governance — embedding change directly into workflows, data structures, and leadership behavior.

Align

Established alignment between business workflows and Workday system design
Defined enterprise data governance model including ownership and stewardship
Aligned leadership on data strategy, data quality, and reporting priorities

Engage

Conducted enterprise-wide workshops on data governance, data literacy, and process change
Engaged stakeholders across HR, Finance, Supply Chain, and executive leadership
Facilitated NextGen service assessment focused on citizen experience and data-driven services

Enable

Developed role-based training programs including data literacy and system usage
Created workflow documentation, governance models, and process standards
Delivered executive coaching on data-driven decision-making and governance accountability

Evolve

Established adoption tracking aligned to data quality and process performance
Embedded data governance into operational workflows and decision processes
Reinforced sustainment through leadership routines and accountability structures

What Changed

Before and after execution alignment

HR & Finance Processes

Fragmented workflows and inconsistent practices

Standardized processes aligned to Workday design

Supply Chain Management

Disconnected sourcing, contracting, and vendor processes

Integrated workflows aligned with master data governance

Data Governance

Policy-driven with limited operational execution

Embedded governance with defined ownership and stewardship

Data Quality

Inconsistent and unreliable data

Structured data management aligned to business processes

Adoption

Limited understanding of data and system impacts

Improved readiness through structured training and engagement

Leadership Alignment

Limited focus on data-driven decision-making

Executive alignment on governance, data, and performance

Measurable Impact

Outcomes that held

HR, Finance, and Supply Chain workflows aligned to Workday system design

Enterprise data governance model established and operationalized

Improved data quality supporting reporting and decision-making

Increased data literacy across business and operational teams

Adoption stabilized through structured enablement and leadership engagement across the organization

Why It Worked

Execution aligned across data, workflows, and behavior

Change was embedded into data structures and business processes, not treated separately
Data governance was operationalized, not left as policy
Leadership was aligned to data-driven decision-making
Adoption was measured through data quality and workflow performance
Sustainment was built into governance and operating routines

This is what execution-led ERP and data transformation looks like in practice.

If execution is at risk — this is where we start.

We work with organizations where data integrity, workflow alignment, and leadership behavior determine whether ERP transformation succeeds.

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