Why data quality determines transition success
WTP transitions are complex enough without data surprises. Most pension administrators inherit years of accumulated data inconsistencies — inconsistent ABO formats, missing ISAE 3402 validation trails, incomplete KDE mappings, incomplete DRI profiling. These gaps surface when it's too late: during parallel runs, UAT, or worse, during sign-off.
DNB's heightened focus on data governance and the Pensioenfederatie's Kader Datakwaliteit have fundamentally changed what "ready for transition" means. It's no longer enough to have data that technically migrates. You need a documented baseline, a clear remediation narrative, and ISAE 3402-aligned governance.
We've managed this from both sides. We've seen what happens when data quality is ignored — missed sign-offs, extended parallel runs, post-live reconciliation crises. And we've seen how hands-on data quality leadership turns potential blockers into managed risks.
What we deliver
Baseline Assessment
Kader Datakwaliteit-aligned assessment of your current state. We identify data issues, categorize remediation priority, and establish a baseline for progress tracking.
KDE Identification & DRI Profiling
Map your Key Data Elements against scheme rules and regulatory expectations. Profile Data Responsibility Indicators to clarify who owns remediation — fund, administrator, or custodian.
Remediation Management
We don't just document problems — we lead remediation execution. We prioritize fixes, track progress, manage dependencies with fund and administrator teams, and adjust scope based on regulatory timeline pressure.
Migration Spec & Testing
Define mapping rules, handle exception workflows, and lead UAT. We ensure migration logic captures remediation decisions and tests confirm data quality gates are met before parallel run.
Parallel Run Coordination
Oversee data reconciliation between legacy and new systems. Manage reconciliation variance workflows, escalate anomalies, and build the sign-off evidence file.
ISAE 3402 Alignment & Sign-off
Document governance decisions, remediation rationale, and control execution. Build the audit trail that satisfies your auditors and DNB's expectations for data governance rigour.
Our approach
Data quality work is inherently embedded. It requires daily interaction with your teams, custodians, and the migration programme. We embed as a data quality lead or project manager, sitting in your transition office, leading data remediation as a work stream, and building governance as we go.
Discovery & Baseline
Walk through your current data landscape. Document known issues, data ownership, and existing controls. Establish a Kader Datakwaliteit-aligned baseline.
KDE Identification & DRI Profiling
Map Key Data Elements to scheme rules and DNB expectations. Profile data responsibility. Clarify what must be fixed, by whom, and why.
Remediation Execution
Lead remediation as a dedicated workstream. Prioritize, execute, and track fixes. Manage stakeholder alignment when remediation scope changes.
Migration & Parallel Runs
Ensure migration logic captures remediation decisions. Lead UAT and parallel run reconciliation. Build the sign-off evidence file in real time.
Sign-off & Handover
Consolidate governance evidence. Prepare for auditor and regulator scrutiny. Handover operational data quality governance to your team.
Who this is for
Pension administrators and funds with known or suspected data quality issues. If your last data audit flagged material gaps, if you're uncertain about KDE completeness, or if you're approaching WTP transition with data governance anxiety — this is the engagement for you.
This isn't for funds with gold-standard data governance. It's for administrators and funds who recognize that data quality is a transition blocker and want to fix it before it becomes a compliance liability.
We embed as your data quality lead. You should expect daily collaboration, direct access to your teams, and a shared commitment to making data quality progress visible and measurable.