The transition ushered in by the Wet toekomst pensioenen (Wtp) marks far more than a move from defined benefits (DB) to defined contributions (DC). It represents a fundamental redesign of how Dutch pensions operate, with data at its heart. Funds that fail to strengthen their data quality and governance frameworks risk miscalculations, operational friction and unwelcome scrutiny from regulators at a moment when precision matters most.
The Dutch pension market is one of the largest in the world, with approximately €1.6 trillion in assets and serving over six million participants across 153 funds. With the Future Pensions Act (WtP) transition, that scale is significant; the entire system is moving from DB to DC, with reforms due to be implemented by 1 January 2028.
The WtP introduces the New Pension Contract (NPC), which puts a formal end to vague promises about future payments. Under the NPC, everyone must be able to see exactly what’s in their pension pot and how it got there, both at the individual level and in real time.
Operationally, this represents a major data transition, and the world is paying attention. The WtP is expected to set a precedent for pension reforms globally, as international systems grapple with familiar pressures: aging populations, shrinking workforces, chronic underfunding and the need for a clearer line of sight toward retirement outcomes.
Choosing a contract structure: SPR or FPR
One of the first and most consequential decisions funds must make is which new arrangement to adopt: SPR or FPR.
Solidarity Pension Arrangement (SPR)
SPR pools worker contributions and enables intergenerational risk-sharing using an investment solidarity reserve to cushion extreme losses. It is relatively simpler to administer, though still a significant step up from traditional DB.
Flexible Pension Arrangement (FPR)
The Flexible Pension Arrangement (FPR) offers more individual choice, with separate accumulation and decumulation phases, and greater participant control over asset allocation. The FPR requires more granular portfolio structuring, tailored to the risk profiles of different age cohorts.
The choice between SPR and FPR has direct downstream consequences for data architecture, reporting obligations and participant communications, and employers must communicate their decision to asset managers well ahead of the 2028 deadline.
SIVI messages: The new standard for data exchange
One underappreciated element of WtP readiness is the introduction of SIVI messages: standardised, JSON-based digital formats designed to streamline data exchange between pension providers, asset managers, and administrators via API.
These messages create a common language for reporting on contributions, assets and returns, helping to reduce manual processes and ensure regulatory compliance. To capture these benefits, SIVI reporting requires early IT investment and close coordination across parties. Industry participants will need to start development well ahead of deadlines to avoid delays that could disrupt transition timelines.
Why data quality and governance are now mission-critical
In DB schemes, the participant experience is anchored in a defined outcome. In DC, it is anchored in each individual’s own accumulation path, which raises the bar on accuracy and explainability. Every fund must be able to calculate, allocate, reconcile and communicate outcomes at the participant level, at scale, with far less tolerance for “close enough” calculations.
Across the pension sector globally, data maturity is highly variable. CEM Benchmarking’s 2024 research found that only 38% of participating plans had a formal data quality policy and just 59% had assessed the quality of their critical data elements in the last year. Many pension organisations are tackling Wtp readiness while operating on a patchwork of legacy systems and fragmented data sources spread across administrators, payroll and employer feeds, investment providers, and internal tools.
When data governance doesn’t keep pace, the risks compound:
- Financial risk: Mispricing, incorrect allocations and even incorrect payouts driven by flawed inputs or reconciliations
- Reputational risk: Erosion of trust if participants receive conflicting or corrected information, especially in a system designed to increase transparency
- Regulatory risk: Supervisory findings, remediation pressure and potential penalties where organisations cannot demonstrate proper controls
- Strategic risk: Limited ability to offer and support personalised solutions when the underlying data foundation is not reliable enough to operate at the participant level
What supervisors will look for: Data integrity you can prove
A useful way to think about transition readiness is not whether your organisation believes its data is good, but whether it can demonstrate data quality and governance before, during, and after the transition.
DNB: Showing correctness and completeness across the transition
De Nederlandsche Bank (DNB) has framed data governance very practically. Funds must be able to show that data quality is safeguarded across the transition, with all calculations performed correctly and completely. DNB also offers details on what “correct” means in this context, including (among other considerations) that the actuarial conversion formula is set by the board in advance, meets legal requirements and that calculations are executed according to that formula.
In plain terms, DNB is looking for the ability to answer questions like:
- Do we have a governed calculation framework that is agreed, versioned, and testable?
- Can we show that transition calculations were executed as designed?
- Can we trace outcomes back to inputs (lineage) and forward to communications?
If a pension fund fails to meet the statutory requirements, DNB must prohibit the conversion.
AFM: Controlled, monitored and correctable participant-facing outputs
The Netherlands Authority for the Financial Markets (AFM) focuses on participant protection, especially the quality of information and communication. AFM supervision is designed to ensure that end users (such as investors and customers) can rely on the integrity of an organisation’s reporting.
In practice, AFM is likely to watch:
- How communication outputs are generated and controlled
- Whether issues are detected early (monitoring, sampling, exception reporting)
- Whether a clear correction policy exists and is communicated to participants
- Whether required communications (e.g., UPO delivery) meet expectations
The consolidation risk: Not all organisations will make it
The required operational lift spans portfolio structuring, look-through reporting, SIVI integration, API connectivity and participant-level data governance – a significant task for even well-resourced organisations. Smaller players may struggle to allocate the necessary investment and even large pension administrators may reconsider their position given the complexity involved. The WtP environment has real potential to drive sector consolidation. Organisations that act early and invest in robust data infrastructure will be best positioned for long-term relevance.
What “good” looks like: A practical data backbone for the Future Pensions Act
“Good data governance” can sound abstract, but in the Dutch pension transition, it must be very concrete.
Strong setups tend to share six characteristics in common:
- Centralised data architecture: A governed layer that consolidates participant, employer, administrator and investment data into a consistent model, reducing duplication and conflicting “sources of truth”
- Automated validation and reconciliation: Rules-based checks, exception handling, and reconciliation workflows that make errors visible and reduce reliance on spreadsheet-driven patching
- Clear data ownership: Named accountability for critical data elements such as definitions, quality thresholds and remediation processes
- Lineage and auditability: The ability to trace a participant-facing number back to underlying sources and transformations, crucial for supervisory confidence and internal assurance
- Participant-level reporting that is operationally linked to investments: The transition underscores the need to integrate administrative and investment data, because participant outcomes depend on investment results and allocation logic
- Standards-ready exchange and monitoring: Map which standardised exchanges (e.g., SIVI message flows) are in scope, establish API connectivity early, and implement monitoring and exception management so issues are detected before participant communications are affected
What to do now: Three readiness questions that uncover real risk
With the 2028 deadline on the horizon, many organisations have time to implement change – but limited time, especially as data remediation, system change, SIVI integration and controlled communications will need to run in parallel.
A practical starting point is to ask:
- Can we prove our transition calculations are correct and complete?
- Is the administration-to-communication translation layer controlled and monitored?
- Do we have a governed dataset and the integration capability (standardised exchange and monitoring) to support participant-level outputs at scale?
If any of these answers are “not yet,” now is the time to strengthen the backbone of your data infrastructure.
How IQ-EQ can help
For many funds, building this data backbone requires a level of structured data collation, validation and governance that many operating models were never designed for.
IQ–EQ’s Asset Owner Solutions provide immediate value. Our teams take responsibility for the full data lifecycle, from sourcing and validating data across administrators and managers to standardising formats, reconciling positions, and ensuring completeness and audit readiness.
With a validated data foundation in place, IQ-EQ’s proprietary platform, Cosmos, delivers aggregated, real-time visualisation, on-the-fly calculations and reporting across multiple asset classes, full look-through, and intuitive access to both investment and accounting books of record.
Through transparent investment accounting, powered by technology and supported by a dedicated team with asset-specific expertise, we provide clients with aggregated portfolio reporting, including detailed returns, calculation breakdowns and tailored modelling support. This enables our clients to improve data quality, enhance transparency and build the scalable operational infrastructure required in the WtP environment.
Contact our team today to learn how we can support your pension transition efforts.
