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HR / Finance verified Verified Outcome TRL 9

Regional Payroll Data Aggregation

domain Client: A global technology conglomerate handshake Provider: ADP / SAP schedule Deploy: Q2 2019 (Consolidation)
87 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

To manage payroll for employees in 100+ countries without violating data residency laws, the company implemented a federated payroll architecture. Detailed PII and salary data remain in local country systems (e.g., ADP Germany). Only anonymized general ledger (GL) entries are aggregated to the central finance hub for reporting.

rate_review Analyst Verdict

"The 'Hub and Spoke' model for data sovereignty. Moving raw payroll data across borders is a legal minefield (China/Russia/EU laws). This architecture enforces governance by design: detail stays local, insights go global."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Global HQ needed visibility into total labor costs. However, moving Russian or Chinese employee data to a central German/US SAP instance violated local data residency laws. Managing 50+ local payroll vendors created data blindness.

psychology The Solution

Implemented a global payroll aggregator. Local vendors process the pay. A middleware layer maps local codes to a global GL structure. It strips names and tax IDs, transmitting only cost center aggregates to the HQ ERP.

settings_suggest Technical & Deployment Specs

Integrations
SAP, ADP
Deployment Model
SaaS Aggregator
Data Classification
Financial / HR
Estimated TCO / ROI
High
POC Summary (2018-01-01 to 2019-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Mapping High Strict governance on cost center taxonomy.
Vendor Failover Low Local providers are independent.

trending_up Impact Trajectory

Audited value realization curve

Aggregation of 100+ countries payroll Verified Outcome
Primary KPIZero PII transfer across restricted borders
Audit CycleReduction in manual GL reconciliation

policy Compliance & Gov

  • Standards: GDPR, China IPL
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: Financial / HR

folder_shared Verified Assets

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Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A global technology conglomerate without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-897
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-897

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