Multiple Data Sources
Actuarial and financial information may come from different enterprise systems.
Our Trusted Partners in Delivering Quality and Excellence








Insurance and financial organizations work with large volumes of actuarial, financial and operational information. Different reporting requirements, data sources and calculation processes can make it difficult to maintain consistent information across teams and systems.
SmartGen provides technology-focused advisory support to help organizations structure their data, processes and reporting environments around defined business and regulatory requirements.
Support the organization and preparation of information used across actuarial workflows.
Structure financial information and reporting processes around defined requirements.
Support the preparation, validation and organization of information required for regulatory reporting workflows.
Actuarial and financial reporting often involves information from multiple systems, teams and processing stages. Without clearly defined processes, organizations may face challenges with consistency, validation and reporting timelines.
Actuarial and financial information may come from different enterprise systems.
Financial and actuarial processes may involve detailed calculation and validation requirements.
Reporting depends on information being available in the right structure and format.
Incomplete or inconsistent information can affect downstream reporting processes.
Different data sources may need to be compared and reconciled before reporting.
Reporting environments need to adapt when business or regulatory requirements change.
SmartGen combines business requirements, data processes and technology considerations to help organizations establish clearer actuarial and financial reporting workflows.
Focused advisory services covering actuarial processes, financial reporting, regulatory reporting, data, reporting design and technology assessment.
Support the review and structuring of actuarial data flows, processes and reporting requirements.
Support organizations in structuring financial reporting processes around defined business requirements.
Help organize reporting data, validation processes and reporting workflows around applicable requirements.
Review data flows and reconciliation processes to identify inconsistencies and processing gaps.
Define structured workflows for collecting, processing, validating and delivering reporting information.
Assess existing technology environments and identify practical opportunities for improving reporting processes.
Actuarial processes depend on data from multiple areas of an insurance organization. A structured approach can help teams understand how information moves from source systems through calculations, validation and reporting.
Financial reporting requires information from multiple systems and business functions. SmartGen can help organizations review how financial information is collected, processed, validated and prepared for downstream reporting.
Organize relevant financial information before reporting.
Support review of relevant calculation processes and dependencies.
Compare information across relevant systems and reporting environments.
Prepare structured information for downstream reporting workflows.
Regulatory reporting requires accurate, traceable and appropriately structured information. SmartGen can support organizations in reviewing the data and technology processes that contribute to regulatory reporting.
Map relevant reporting requirements to data and process requirements.
Prepare information required for reporting workflows.
Define validation checks around relevant reporting data.
Compare information across relevant reporting sources.
Help organize information and processes before submission activities.
A structured view of reporting cycles, validation, reconciliation, calculation review, exceptions and submission readiness.
Illustrative reporting control interface
Apply defined checks before information moves to the next process stage.
Compare relevant information across systems.
Support structured review and approval workflows.
Maintain visibility across reporting stages.
A six-stage process covering source data, preparation, calculation, validation, reconciliation and reporting.
Reporting requirements need to be translated into practical data and process requirements. A structured mapping approach helps teams understand which information, calculations, validations and reporting steps are involved.
| Requirement | Data Source | Calculation | Validation | Report | Status |
|---|---|---|---|---|---|
| Insurance Contracts | Policy System | Group Level | Rules Set A | Statement A | Ready |
| Insurance Service Result | Actuarial | CSM Movement | Rules Set B | Statement B | In Review |
| Insurance Finance Result | Finance System | Discounting | Rules Set C | Statement C | Ready |
| Reconciliation Report | Multiple Sources | Comparison | Rules Set D | Reconciliation | Pending |
| Regulatory Return | Consolidated | Aggregation | Rules Set E | Regulator Pack | In Review |
Structured mapping links reporting requirements to the systems, data, calculations and controls that make each report possible.
Reporting quality depends on the information behind the report. SmartGen can help organizations establish structured validation and reconciliation processes around relevant actuarial and financial data.
Check whether required information is available.
Identify differences across related data sources.
Apply defined validation rules.
Compare information across relevant systems.
Structured reporting data can support management teams with clearer visibility into financial, actuarial and operational information.
Structured financial information for management review.
Relevant actuarial results and supporting information.
Visibility into reporting processes and outstanding activities.
Identify information requiring further review.
Supporting the teams that own actuarial, financial, regulatory and technology processes across the organization.
Support financial reporting processes and data requirements.
Support actuarial data, process and reporting requirements.
Support reporting preparation, validation and process design.
Support information and process requirements related to reporting and governance.
Help translate reporting requirements into practical data processes.
Connect business reporting requirements with technology environments.
Practical advisory applications across financial, actuarial, regulatory, data and technology environments.
Review the flow of financial information across relevant systems and processes.
Review how actuarial information is collected, processed and delivered.
Support structured preparation of information for regulatory reporting workflows.
Assess reconciliation processes across relevant data environments.
Review validation and reporting controls.
Assess whether existing technology processes support current reporting requirements.
Four structured stages covering discovery, assessment, recommendations and, where required, implementation support.
Understand the organization's reporting requirements, data environment and existing processes.
Review data flows, calculations, controls and technology dependencies.
Develop practical recommendations based on identified requirements and process gaps.
Where required, support the transition from recommendations into defined technology and process improvements.
A focused technology and advisory partner for insurance organizations addressing complex reporting requirements.
Experience working with technology requirements relevant to insurance environments.
Consider reporting requirements alongside data and technology processes.
Use defined processes to review data, reporting and technology requirements.
Focus on how information moves through the organization.
Prioritize recommendations that can be understood and implemented by business and technology teams.
Consider the wider relationship between finance, actuarial, reporting, data and technology environments.
An illustrative enterprise reporting interface covering reporting cycles, financial and actuarial data, validation, reconciliation, approvals, exceptions and audit trail.
Illustrative enterprise reporting interface