INSURANCE SECTOR
Governata helps insurance companies unify policy, claims, and customer data with full compliance with PDPL and SAMA requirements.
Policyholder data is split between policy, claims, and customer service systems, making a unified customer view hard to build.
SAMA, NDMO, and IFRS 17 reports require gathering data from many sources, consuming time and raising the chance of errors.
Incomplete claims data and documentation make insurance product pricing and risk assessment less accurate.
Linking policy, claims, and customer service data in one catalog to build a complete view of every policyholder.
Ready templates for SAMA and NDMO reports with data lineage proving the source and reliability of every number to regulators.
Automatic discovery and classification of identity and contact data across systems with consent management per PDPL requirements.
Quality rules running periodically on claims and policy data to ensure accuracy in pricing and reserve calculations.
Governata unifies policy, claims, and customer data in one view while applying privacy policies and SAMA compliance requirements automatically.
Policyholders know their data is preserved and handled per regulations, raising satisfaction and policy renewal likelihood.
Clean unified data shortens the underwriting cycle and makes risk pricing more accurate and confident.
Spotting fraud patterns becomes faster because claims data is linked to the customer's full context and history.
Data governance in insurance means unifying the management of policy, claims, and policyholder data across systems under clear policies for data quality and protection, serving both operational decisions and regulatory compliance.
The insurance sector handles sensitive personal data and strict regulatory requirements from SAMA, NDMO, and IFRS 17, alongside the need for data accuracy in pricing and risk assessment.
Insurance pricing models rely on historical claims and risk data, so any gap or error in this data leads directly to inaccurate pricing that either loses revenue or exposes the company to losses.
SAMA requires customer data protection and maintaining auditable records, alongside periodic reports covering performance and risk indicators, all of which require a coherent data governance system across systems.
Fraud detection models require a unified view of the customer, their claims history, and behavioral patterns, and data governance makes this view available and accurate, raising detection effectiveness and reducing false alarms.
Discover how Governata turns your company's data into an operational asset and an integrated compliance system.
