10 Data Archiving Best Practices
Enterprise data archiving best practices establish scalable, governed frameworks that manage inactive data beyond simple storage
Read postArchon™ empowers insurers to modernize legacy systems, meet strict retention mandates, and unlock value from decades of policy, claim, and customer data with complete security and cost-effectiveness.
The insurance industry generates massive volumes of data every day, from policy documents, claims records, and underwriting reports to agent communications and customer correspondence. These records exist across multiple systems and formats, both digital and paper-based – must be retained for years to meet compliance, audit, and legal requirements. Regulations such as IRDAI, SOX, GDPR, and NAIC make long-term retention and secure accessibility a non-negotiable part of insurance operations.
Maintaining insurance records in legacy systems, mainframes, or outdated policy administration tools is costly, inefficient, and risky. These systems not only slow down performance but also expose insurers to serious compliance and security threats.
Retrieving historical policy or claims data during audits can take weeks, and any data loss can lead to million-dollar penalties or customer disputes. Outdated environments like IBM, Solaris, and HP-UX further drive up maintenance and licensing costs, while their lack of interoperability limits modernization and makes integrating with newer digital policy or CRM platforms a constant challenge. Meanwhile, unprotected customer data stored in such obsolete systems remains a prime target for cyberattacks and regulatory scrutiny.
To overcome these challenges, insurers are rethinking how they store, secure, and access their historical data. Instead of maintaining legacy systems indefinitely, they’re turning to modern archival platforms that reduce costs, automate compliance, and make decades of records instantly accessible. This is where Archon™ transforms the equation by helping insurance organizations modernize their data lifecycle from end to end.
Imagine if every claim record, policy document, and customer interaction were instantly accessible and 100% compliant without the burden of legacy systems or spiraling storage costs.
Archon™ modernizes how insurers manage, migrate, and archive policy and claims data. Its core product, Archon Data Store™ (ADS), serves as a secure, compliant, and cost-efficient archival platform focused on legacy application decommissioning, long-term data retention, and audit-ready access. Archon Analyzer™ and Archon ETL™ enable intelligent data discovery, transformation, and seamless migration from legacy systems.
Archon Analyzer™ automatically scans legacy insurance systems, discovers every policy, claim, and customer data source. Builds a full dependency map across applications and databases.
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Archon ETL™ extracts, cleanses, and transforms insurance data from outdated platforms like AS400, Guidewire, Duck Creek, and custom COBOL apps. Ingests organized data securely into Archon Data Store™ or your modern cloud environment.
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Archon Data Store™ automates data retention, classification, and encryption aligned with IRDAI, GDPR, and other global as well as regional insurance data laws. ADS uses WORM storage, encryption, and zero-trust access control to prevent tampering or unauthorized access.
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Archon Data Store™ is powered by metadata-driven search and query tools that deliver instant access to archived policy and claims data.
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Check out our definitive guide to security & compliance within Archon Data Suite, and learn more about the product architecture, design considerations, our methodology, and our approach to data processing.
Consolidate and retire redundant policy systems post-merger without losing compliance history
Respond instantly with searchable, indexed policy and claims archives.
Safely decommission legacy AS400, Guidewire, or COBOL systems
Unlock archived policyholder data for predictive analytics and cross-sell insights
Read the latest from Archon Data Store's team to learn more about the world of data management.
Enterprise data archiving best practices establish scalable, governed frameworks that manage inactive data beyond simple storage
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