Data-Quality

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Your Data Is Ready Only When It Supports the Decision

aistrategy  ·  9 min read

Your Data Is Ready Only When It Supports the Decision

AI data readiness depends on the decision, intervention, and evidence required to evaluate results. Leaders need to test meaning, availability, permission, and outcome quality before committing to a capability or a broad data programme.

4 Oct 2026 AI AI-strategy
Buyout Readiness: The Premium Difference Between Prepared and Unprepared Schemes

Pensions  ·  4 min read

Buyout Readiness: The Premium Difference Between Prepared and Unprepared Schemes

A bulk annuity transaction is the most consequential financial event in most Defined Benefit schemes' histories. The premium difference between a well-prepared and a poorly-prepared scheme at transaction ranges from 0.5 to 2 percent of liabilities. On a £500 million scheme, that is £2.5 to £10 million. Most of that difference is attributable to data quality.

12 May 2026 Buyout Readiness Bulk Annuity
Member Data Quality: The Foundation That Everything Else Depends On

Pensions  ·  4 min read

Member Data Quality: The Foundation That Everything Else Depends On

Poor member data quality increases the bulk annuity premium, generates benefit calculation errors, creates regulatory findings, and delays every downstream process in the journey to endgame. The errors are rarely the result of bad decisions. They are the accumulated consequence of decades of manual administration, system migrations, and incomplete records.

12 May 2026 Data Quality Pension Administration