Data management solutions for the insurance industry, IFRS 17 data readiness, policy data governance, claims data quality, actuarial data management, and enterprise data strategy for insurers globally.
Data in this sector is complex, regulated, and mission-critical. The consequences of poor data quality or governance are significant, affecting regulatory standing, financial performance, and customer trust.
Meeting the complex data requirements of IFRS 17, requiring granular contract-level data, measurement model data, and new actuarial and financial reporting data structures.
Ensuring the accuracy and completeness of claims data, impacting reserving accuracy, fraud detection, reinsurance settlements, and regulatory reporting.
Inconsistent policy data across legacy systems, product lines, and geographies, making enterprise-wide analytics and regulatory reporting unreliable.
Managing the complex, high-volume data flows between core insurance systems and actuarial models, ensuring data integrity and auditability.
Duplicate and inconsistent customer records across products and distribution channels, impacting customer experience, cross-sell, and regulatory requirements.
Meeting Solvency II, IRDAI, MAS, and other regulatory data requirements, requiring reliable, governed, and auditable data across the enterprise.
We bring DAMA DMBOK-aligned frameworks and industry-specific expertise to address your most pressing data management challenges, from regulatory compliance to data-driven growth.
Designing data architectures and governance frameworks that meet IFRS 17 data requirements, from contract groupings and measurement models to financial disclosure data flows.
Implementing data quality frameworks for claims data, profiling, rules, monitoring, and remediation to ensure accurate reserving, reporting, and fraud analytics.
Establishing master data management for policy and customer domains, creating single, trusted records across products, channels, and legacy systems.
Documenting actuarial model data flows, business terms, and lineage, ensuring auditability, model transparency, and regulatory compliance.
Building data governance frameworks aligned to Solvency II, IRDAI, and other regulatory requirements, with clear data ownership and quality accountability.
Implementing BI and analytics platforms for claims analytics, pricing intelligence, customer lifetime value, and operational performance reporting.
Deep understanding of insurance data challenges across Life, General, and Health segments, from policy administration to claims management and reinsurance.
Practical experience with IFRS 17, Solvency II, IRDAI, MAS, and other insurance regulatory frameworks and their data implications.
DMBOK v2-aligned frameworks ensuring international data management standards are applied consistently across all engagements.
Strategy, consulting, implementation, and training, a complete data management partnership for insurance organizations.
