Purpose-built majesco / sapiens etl connector for mid-market P&C and L&A insurers. Five source paths (Data Lake + IDIT + ALIS + REST + JDBC), six target formats (FBDI + REST + Parquet + warehouse + BI + bordereaux), state-retention aware, NAIC + state-commissioner audit-ready.
Generic ETL tools (Informatica, Talend, Boomi, Mulesoft) configured for insurance still require 3-6 months of manual schema discovery, custom-rule decoding and state-retention design. A purpose-built majesco / sapiens etl connector ships those primitives.
Most ETL platforms position themselves as connector-rich and quickly configurable for any source. For Majesco and Sapiens, that promise breaks down: Majesco Cloud Platform exposes Data Lake Parquet and REST APIs but the data model has 200+ entities with carrier-specific product-config extensions that need custom decoding. Sapiens IDITSuite exposes IDIT data services but the IDITPOL/IDITCLM/IDITNAME entity family has custom rating-rule outputs that vary per carrier. ALIS for L&A adds another layer of policy-policyholder, deferred premium and dividend-processing complexity. State-retention partitioning per US state, NAIC-aware Schedule P alignment and reinsurance bordereaux reconciliation are not generic-ETL primitives — they require insurance-specific design.
The Syntra ETL majesco / sapiens etl connector ships pre-built domain catalogs for both Majesco and Sapiens entity families, custom-rating-rule decoders for Majesco Rate Manager and Sapiens RuleXpress, state-retention partitioning for all 50 US states + DC + territories, NAIC Schedule P alignment for actuarial substantiation, and reinsurance bordereaux reconciliation for treaty + facultative cession trails. Deployment is 2-3 weeks to BYOC tenant, not 3-6 months of bespoke configuration.
The connector is destination-agnostic: same extracted data feeds Oracle Fusion FBDI for finance integration, Parquet archive for compliance retention, Snowflake/BigQuery/Redshift/Synapse for actuarial analytics, Tableau/Power BI/Looker for BI, and bordereaux Excel/structured for quarterly reinsurance reporting. One extraction, many destinations.
Same downstream pipeline regardless of source. Hybrid Cloud + on-prem deployments are transparent to operations.
Native Parquet ingestion from customer-controlled S3 bucket. Schema validation against live Majesco metadata. Custom-product column auto-detection. Partitioned by state, LOB, fiscal year.
Pre-built profiles for IDITSuite SaaS IDIT data services covering IDITPOL/IDITCLM/IDITNAME entity families. OAuth2 + scope minimization.
Pre-built profiles for L&A: policy-policyholder, deferred premium recognition, cash values, surrender values, dividend processing, NAIC #797 replacement records.
Incremental delta sync via OAuth2 client credentials, scope minimization, modified-since watermarks per domain. 15-minute incremental cadence.
Read-only JDBC against Oracle or SQL Server backend of legacy on-prem Majesco (STG/CIM tables) or Sapiens IDIT (IDITPOL/IDITCLM tables). Read-replica recommended.
Same downstream pipeline for any combination of Cloud + on-prem sources. Cutover from on-prem to Cloud is a source-profile swap, not a re-integration.
BYOC deployment, pre-built profiles, FBDI emitters configured. Compare to consultant-led integration build at 3-6 months for the same coverage.
AWS / Azure / GCP tenant provisioned. OAuth2 / OIDC identity provider integration. Secrets management (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). VPC peering or private link to source and target.
Majesco Cloud Platform connection (Data Lake + REST). Sapiens IDITSuite SaaS connection (IDIT + REST). Sapiens ALIS connection. Legacy on-prem JDBC (if applicable) against read-replica. OAuth2 scope minimization per source.
Oracle Fusion FBDI endpoint configuration. Fusion REST endpoint configuration. Archive bucket configuration. Snowflake/BigQuery/Redshift/Synapse sink configuration. BI tool source configuration.
Pre-built crosswalk libraries applied: premium ledger → Fusion revenue, paid-loss → Fusion paid-loss GL, commission → Fusion AP, ceded → Fusion ceded GL, supplier/customer master. ~70% out-of-box; remainder refined per carrier.
First end-to-end extract + transform + load + reconcile cycle. Premium register, paid-loss register, cash register, ceded register reconciliation packs emitted. Sign-off by statutory accounting + GAAP accounting + actuarial.
Ongoing 15-minute real-time + nightly batch + monthly close cycles. Three-tier monitoring with PagerDuty/Opsgenie/ServiceNow integration. Long-term archive retention per state-commissioner rule.
Same extracted data feeds multiple downstream targets. Configure once, route everywhere.
Journal Import, AP Invoice Import, Receipt Import, Supplier Import, Customer Import — validated against live 26x release schema before submission.
Incremental real-time sync for cash receipts (Fusion AR), claim payment status (Fusion AP), supplier creation. 15-minute cadence.
Snappy-compressed Parquet partitioned by state, LOB, fiscal year. Per-jurisdiction retention clock enforcement. Queryable for actuarial, claims, regulator queries.
Snowflake / BigQuery / Redshift / Synapse via direct JDBC. Actuarial loss-triangle modeling, mortality experience studies, fraud analytics, reinsurance reporting.
Tableau, Power BI, Looker, Sisense via standard JDBC + REST. Self-serve dashboards for underwriting, claims, finance and actuarial teams.
Excel + structured exports for quarterly treaty bordereaux reporting. Cross-references to source policies/claims preserved for 30+ year audit.
The majesco / sapiens etl connector is Syntra ETL's pre-built integration adapter that connects Majesco P&C/L&A Core Suite and Sapiens IDITSuite/CoreSuite/ALIS to downstream targets — Oracle Fusion Financials being the primary one, but also data warehouses (Snowflake, BigQuery, Redshift, Synapse), BI tools (Tableau, Power BI, Looker), compliance archives and operational analytics. The connector ships pre-configured for both source families (Majesco and Sapiens) with extractor profiles for Majesco Data Lake, Sapiens IDIT data services, ALIS data services, Majesco/Sapiens REST APIs and on-prem JDBC. It is not a generic ETL platform configured for insurance — it is purpose-built for the Majesco and Sapiens data models with all the customization-awareness, state-retention awareness and reinsurance awareness already in place.
Five differences specific to insurance. (1) Pre-built domain catalogs: Majesco Policy/Billing/Claims/UW/Reinsurance entities and Sapiens IDITPOL/IDITCLM/IDITNAME entities and ALIS policy-policyholder structures are catalogued with attribute-level metadata out of the box. A generic ETL tool requires manual schema discovery. (2) Custom-rating-rule decoding: Majesco Rate Manager and Sapiens RuleXpress custom rule outputs are decoded automatically. (3) State-retention partitioning: every record tagged with state of admission and LOB for per-jurisdiction retention enforcement. (4) Reinsurance-aware: bordereaux extraction and ceded reconciliation built in. (5) NAIC + state-commissioner audit-ready: hash-signed chain of custody for state market-conduct exam response.
Five extraction paths. (1) Majesco Data Lake: native Parquet ingestion from customer-controlled S3 bucket with schema validation against live Majesco metadata. (2) Sapiens IDIT data services: bulk + REST endpoints for IDITPOL/IDITCLM/IDITNAME entities. (3) Sapiens ALIS data services: bulk endpoints for L&A policy-policyholder, deferred premium, surrender values, dividend processing, NAIC #797 replacement records. (4) Majesco/Sapiens REST APIs: incremental delta sync with OAuth2 client credentials, scope minimization and modified-since watermarks per domain — 15-minute incremental cadence. (5) Legacy on-prem JDBC: read-only against Oracle/SQL Server backend with stored-procedure-aware metadata for legacy installations. Same downstream pipeline regardless of source.
Six target formats. (1) Oracle Fusion FBDI: Journal Import, AP Invoice Import, Receipt Import, Supplier Import, Customer Import — validated against live 26x release schema. (2) Oracle Fusion REST APIs: incremental real-time sync for cash receipts, claim payment status, supplier creation. (3) Parquet compliance archive: snappy-compressed, partitioned by state, LOB and fiscal year. (4) Snowflake / BigQuery / Redshift / Synapse: direct JDBC sinks for actuarial analytics, mortality experience studies, fraud detection. (5) BI tool sources: Tableau, Power BI, Looker via standard JDBC + REST. (6) Bordereaux reports: Excel + structured exports for quarterly reinsurance treaty reporting.
Pre-built upgrade resilience. Majesco Cloud Platform releases and Sapiens IDITSuite SaaS releases are absorbed by extractor profile updates pushed by Syntra — schema additions detected by schema-drift surveillance, new entities catalogued automatically, deprecated entities flagged for crosswalk review. Legacy on-prem patches are absorbed equivalently against the read-replica. Carrier-specific custom rate-rule or product-config extensions added between source-system releases are auto-detected. The connector configuration is version-controlled so any upgrade-driven change is auditable, and rollback is one configuration revision away if a release introduces unexpected behavior.
Yes. The majesco / sapiens etl connector deploys to your own AWS, Azure or GCP account (BYOC — bring your own cloud) so source data, intermediate staging and target loads never leave your security perimeter. Authentication uses your existing OAuth2 / OIDC identity provider. Secrets are managed by your existing secret manager (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Network connectivity to Majesco Cloud Platform, Sapiens IDITSuite SaaS, on-prem Majesco/Sapiens read-replica and Oracle Fusion is via your existing VPC peering or private link. The connector control plane is managed by Syntra; the data plane runs entirely inside your tenant.
Parallel streaming. Underwriting files, loss-control reports, L&A medical exam records and claim attachments routinely run multi-TB across 20+ years of state-retention. The connector streams attachments via Majesco Data Lake, Sapiens IDIT data services, ALIS data services and Majesco/Sapiens REST APIs in parallel (typically 25 concurrent connections, throttled to respect API rate limits), preserves the source attachment-id as a cross-reference for archive query, hash-signs each file with SHA-256, and stages to cloud object storage (S3, Azure Blob, GCS) with state-retention partitioning. HIPAA-aware access controls for L&A medical records and workers comp medical records are applied at archive write time so future read-access logs satisfy chain-of-custody requirements during state-commissioner exams.
Typical deployment timeline: 2-3 weeks. Week 1: BYOC setup (AWS/Azure/GCP tenant, OAuth2 IdP integration, secrets management, VPC peering to source and target). Week 2: source extractor profile configuration (Majesco Cloud Platform connection, Sapiens IDITSuite SaaS connection, on-prem JDBC if applicable, OAuth2 scope minimization). Week 3: target pipeline configuration (Fusion FBDI + REST endpoint configuration, archive bucket configuration, BI/data warehouse sink configuration), first end-to-end extract + transform + load + reconcile cycle executed. Compared to consultant-led integration build (typically 3-6 months for the same coverage) the time savings come from pre-built domain catalogs, pre-built extractor profiles and pre-built FBDI emitters.
Book a 30-minute working session. We'll connect to a Majesco or Sapiens sandbox or your read-replica, run a live extract via the pre-built connector and show you the FBDI output, Parquet archive and reconciliation pack — all in under 30 minutes.