Pension data management

Trusted member data. Decisions you can stand behind.

We help pension trustees, administrators and providers resolve administration backlogs through pension data cleansing and reconciliation, while preparing matching and value data for pensions dashboards, ISP connection, migration and operational change.

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Pension member records becoming complete, validated and connected

Member recordsDashboard readinessData cleanseMigrationRemediation

A dependable foundation

Pension data quality shapes administration, compliance and member outcomes.

Whether records sit in legacy pension administration systems, spreadsheets or disconnected platforms, missing, inconsistent or inaccessible information creates operational pressure and undermines confidence in calculations, reporting and member servicing. Correcting individual fields is rarely enough if the underlying causes remain.

i-Convergence connects data analysis with operational understanding—helping teams establish the true position, target remediation and create controls that keep data reliable.

Where we help

Make pension data usable, provable and ready.

Practical support from assessment through to controlled remediation.

01

Data assessment

Common and scheme-specific data, completeness, validity and material risk.

02

Dashboard readiness

Matching and value data, identifiers, traceability and evidence for pensions dashboards connection through an ISP and ongoing operational readiness.

03

Member remediation

Cleanse, enrichment, validation and prioritised correction of member records.

04

Reconciliation

Connect scheme and member records to calculations, transactions and administration activity.

05

Migration preparation

Profile, cleanse and validate source data before it enters a new platform.

06

Operational improvement

Strengthen ownership, workflow, reporting and controls so quality is sustained.

From insight to action

See the issue. Understand its impact. Resolve it with evidence.

01ProfileCreate a clear, scheme-level and member-level view of quality.
02PrioritiseFocus effort on material exceptions, deadlines and member impact.
03RemediateCorrect records through controlled, traceable workflows.
04ProveEvidence improvement, readiness and ongoing control.

Build confidence in the records behind every outcome.

Start with a clear view of the data, the risk and the work required.

Talk to a pension data specialist →