Our data quality offer is designed to assist you in implementing your data quality system under the Solvency II Directive. Our offer has four key stages, in addition to a component on management and coordinating our response.
- Identifying data under Solvency II is the first action taken by formalising business processes and allowing them to be generalised.
- The types of tests to be performed, grouped in the test reference, are then defined in response to Solvency 2 requirements: accuracy, completeness and relevance.
- The formalisation of the data dictionary is a universal and shared definition for each piece of data. We recommend the industrialisation of the dictionary to ensure perfect readability and continuous updates over time.
- Defining roles and responsibilities in dedicated workshops ensures that each of the stakeholders is assigned responsibility for controls at each life cycle stage of the data.
- The formalisation stage of a data quality policy formalises the governance of data and all the rules and principles of data quality. We adapt our approach to the nature, size and complexity of our customers taking into account the objectives set at the beginning of intervention.
- The industrialisation of the processes ensures that the data is coherent throughout its life cycle.
- The implementation of a data quality control system ensures consistency between the operational measures for improving data quality: appointment of a set of internal references, implementation of measurement tools and justification for checks.
- The tool for monitoring measures to improve data quality defines responsibilities, milestones and targets to be reached.
Information system //
- Setting a target functional architecture and securing IT System are two key elements in achieving objectives. The IT System rationalisation stage helps to meet these objectives by facilitating controls and data consistency
- The implementation of an IT System security policy secures the available systems as a whole while respecting confidentiality and ensuring traceability (DICT).
Our methodological approach, which has been proven in a site assignment for a major player in the insurance sector, can be implemented with each of our clients in compliance with his expectations and ecosystem.