Frequently pension scheme data is of a poor or at best, inconsistent quality, which has a knock on effect on scheme administration quality and cost.
It also impacts on the ability to run liability exercises without significant manual intervention, which can be time consuming and add to any expense. It can often mean that liabilities are incorrect, as they are based on flawed data. Consequently funding costs and buyout costs are equally incorrect.
We have designed a unique data audit tool which allows us to vet the quality of scheme data based upon the Pension Regulators guidance and identify areas where remedial action is required prior to any further activity being undertaken.