Pre-built majesco / sapiens data extraction tool that speaks Majesco Data Lake, Sapiens IDIT data services, ALIS data services, REST APIs and on-prem JDBC. Full P&C and L&A footprint — Policy, Billing, Claims, Underwriting, Reinsurance. Hash-signed manifests. Audit-ready.
Majesco Data Lake gives you Parquet files. Sapiens IDIT data services give you bulk endpoints. Neither gives you a production-grade ETL pipeline, governed crosswalks, FBDI emitters or reconciliation evidence. That's what Syntra ETL's majesco / sapiens data extraction tool wraps around them.
Majesco Cloud Platform provides Majesco Data Lake as the bulk export mechanism — it publishes Parquet files of the Policy/Billing/Claims/Underwriting/Reinsurance data model to your S3 bucket on a configurable schedule. Sapiens IDITSuite SaaS provides IDIT data services for equivalent bulk exports plus REST APIs. ALIS for L&A provides data services covering policy-policyholder, deferred premium recognition, surrender values and NAIC #797 replacement records. These are the right primitives. But a production data-migration or archive project also needs incremental deltas via REST APIs, custom-rated risk decoding, on-prem JDBC for any legacy installation still running, multi-TB attachment streaming, state-retention partitioning, reconciliation evidence, and downstream FBDI emitters for Oracle Fusion.
Most consultant-led projects spend 3-6 months building all of that scaffolding before they can extract their first useful row. Syntra ETL's majesco / sapiens data extraction tool ships those primitives pre-built: Data Lake Parquet ingestion with schema validation, IDIT data service consumption with metadata mapping, REST API incremental sync with OAuth2 and modified-since watermarks, on-prem JDBC profiles with stored-procedure-aware metadata, parallel attachment streaming with hash signatures, and downstream emitters for FBDI, archive Parquet, REST and BI formats.
The same engine extracts for three distinct end goals: (a) downstream Oracle Fusion finance integration (premium → revenue, paid-loss → GL paid-loss accounts), (b) legacy on-prem decommissioning with full archive preservation, and (c) ongoing operational analytics (actuarial loss triangles for P&C, mortality experience studies for L&A, claim-fraud detection, reinsurance bordereaux). One extraction layer, multiple destinations.
The work that consultant-led projects spend their first quarter building. Already shipped.
Native Data Lake Parquet ingestion from your customer-controlled S3 bucket. Schema validation against live Majesco metadata. Custom-product column auto-detection. Partitioned output by state, LOB, fiscal year.
Pre-built profiles for Sapiens IDIT data services (P&C) and ALIS data services (L&A) with metadata mapping for IDITPOL/IDITCLM/IDITNAME families plus ALIS policy-policyholder and deferred premium structures.
REST extractor for Majesco and Sapiens REST endpoints with OAuth2 client credentials, scope minimization and modified-since watermark per domain for 15-minute incremental cadence.
Read-only JDBC profile against Oracle or SQL Server backend of legacy on-prem Majesco (STG/CIM tables) or Sapiens IDIT (IDITPOL/IDITCLM tables). Pointed at read-replica so production is never impacted.
Multi-TB claims, underwriting and L&A medical attachments streamed in parallel via Data Lake, IDIT data services and REST API, hash-signed, indexed by source attachment-id for HIPAA and state-commissioner audit.
Every extract emits a hash-signed manifest: record counts per domain, sum totals (premium, paid-loss, ceded), business-key reconciliation lookups. Auditors verify the manifest, not the vendor.
From OAuth scope grant to signed reconciliation manifest. Production-grade workflow, not a one-off SQL dump.
Choose extraction path: Majesco Data Lake for Majesco Cloud Platform, Sapiens IDIT data services for IDITSuite SaaS, REST APIs for incremental, on-prem JDBC for legacy. Configure OAuth2 client credentials with minimum required scopes. Point at the tenant or replica.
Tool crawls the Data Lake Parquet schema, IDIT/ALIS data service entity catalogs, REST endpoint inventories and on-prem metadata. Surfaces custom products, custom rating rule outputs and configuration extensions. Output: complete data inventory ready for crosswalk design.
First-pass full extract of historical Majesco/Sapiens data. Data Lake Parquet and IDIT data services pulled per domain, REST attachments streamed in parallel, on-prem JDBC unload for any legacy data. Staged as Parquet partitioned by state and LOB with hash signatures.
Data Lake / IDIT scheduled cadence (daily/hourly) plus REST API modified-since watermark per domain for 15-minute incremental sync. Delta records hash-signed and appended to staging in order.
Same staged data routed to multiple targets: FBDI ZIPs for Oracle Fusion Financials, Parquet archive for compliance retention, REST payloads for real-time Fusion sync, CSV/Avro for BI/data warehouse.
Signed manifest emitted per extract: record counts per domain, sum totals (premium, paid-loss, ceded amounts), hash signatures, source-system query snapshots. Auditors verify the manifest against source independently.
The majesco / sapiens data extraction tool is destination-agnostic. The same staged data feeds whichever downstream system you need.
FBDI Journal Import, AP Invoice Import, Receipt Import, Supplier Import, Customer Import — ready for direct Oracle Fusion ESS submission, validated against live 26x schema.
Parquet archive partitioned by state, LOB and fiscal year. Per-jurisdiction retention rules enforced. Queryable through archive UI for actuarial, finance, claims and regulator queries across P&C and L&A.
REST API JSON payloads for low-latency Fusion sync — useful when premium and paid-loss have to land in Fusion within minutes for daily close or cash-management.
CSV, Avro and direct JDBC sinks for Snowflake, BigQuery, Redshift or Synapse — enabling actuarial loss-triangle modeling, mortality experience analysis, fraud analytics and reinsurance reporting.
Bordereaux-format extracts (Excel + structured) for reinsurance treaty reporting, with cross-references to source policies and claims preserved for 30+ year audit horizons.
Subpoena-response packs with full chain-of-custody log: SIU investigations, state-commissioner data calls and litigation discovery answered in hours, not weeks.
A majesco / sapiens data extraction tool is the technology layer that pulls structured policy, billing and claims data — plus unstructured attachments — out of Majesco P&C/L&A Core Suite or Sapiens IDITSuite/CoreSuite/ALIS without disrupting live insurance operations. For Majesco Cloud Platform the primary path is Majesco Data Lake — Majesco's bulk Parquet export to a customer-controlled cloud bucket — supplemented by REST APIs for incremental deltas and SOAP for legacy integration patterns. For Sapiens IDITSuite SaaS the path is IDIT data services plus REST APIs. For legacy on-prem the extraction is JDBC against the Oracle or SQL Server backend with stored-procedure-aware metadata. Syntra ETL's majesco / sapiens data extraction tool ships pre-built extractors for all three worlds so you don't spend three months building extraction pipelines from scratch.
Majesco Data Lake is Majesco's mechanism for bulk data extraction from Majesco Cloud Platform — it publishes Parquet files of the full P&C Core Suite data model (policies, risks, coverages, transactions, claims, exposures, reserves, payments, reinsurance) to a customer-controlled cloud storage bucket on a scheduled cadence. Syntra ETL's majesco / sapiens data extraction tool consumes Data Lake Parquet directly, applies schema validation against the live Majesco metadata, surfaces any custom-product columns added through source-control workflow, and routes the data into the downstream Fusion pipeline or long-term archive. No bespoke Data Lake scaffolding, no manual schema mapping — just configure scope and run.
Sapiens IDIT (IDITSuite SaaS, formerly Tia) exposes data services for bulk extraction of the full P&C insurance data model plus REST APIs for incremental deltas. Sapiens ALIS for L&A exposes equivalent data services covering policy-policyholder, premium recognition, surrender values, dividend processing and NAIC #797 replacement records. The majesco / sapiens data extraction tool ships pre-built profiles for IDIT data services, ALIS data services and Sapiens REST APIs with OAuth2 authentication and modified-since watermark patterns for incremental syncs. The same downstream transformation engine consumes Sapiens data alongside Majesco data so a single carrier running both platforms gets consolidated archive and Fusion integration.
Yes — and this matters because most mid-market insurers still have legacy on-prem Majesco or Sapiens running for at least some lines while they migrate to Cloud. The on-prem extractor uses read-only JDBC against the Oracle or SQL Server backend (typically pointing at a read-replica to avoid impact on production) with stored-procedure-aware metadata that decodes custom rating rules, typecodes and product-model extensions. For Majesco's classic STG (Staging) and CIM (Core Integration Model) tables, plus Sapiens IDIT's IDITNAME/IDITPOL/IDITCLM table families, the tool ships pre-built table catalogs. The same downstream pipeline emits FBDI or archive Parquet whether the source was Cloud or on-prem JDBC, so a hybrid is handled transparently.
Full P&C and L&A footprint. Policy: products, coverages, policies, risks, endorsements, transactions, written/earned/unearned premium ledger, rating outputs, underwriter overrides, custom rating rule outputs. Billing: bills, invoices, receipts, disbursements, commission statements, agency settlements, NSF/write-offs, premium-payment-plan history. Claims: claims, exposures, reserves (case + IBNR), indemnity payments, expense payments, recovery payments, SIU flags, litigation flags, attachments. Reinsurance: treaty definitions, layer attachments, facultative placements, cession history, bordereaux extracts. L&A specific (Sapiens ALIS): policy-policyholder, deferred premium recognition, cash values, surrender history, dividends, replacement records (NAIC #797). Plus configuration: product catalog, Rate Manager / RuleXpress rules, BPM workflow definitions, integration BPMs.
Attachments are the largest data volume in any insurance extract — claims attachments (police reports, medical records, repair estimates, SIU dossiers, recorded statements), underwriting files (loss-control reports, application supplements, MVR/CLUE reports) and L&A medical exam records (paramedical exams, blood/urine results, attending physician statements) routinely run multi-TB across 20+ years of retention. The majesco / sapiens data extraction tool streams attachments through Majesco Data Lake, Sapiens IDIT data services and REST APIs in parallel (typically 25 concurrent connections, respecting rate limits), preserves the source attachment-id as a cross-reference, hash-signs each file, and stages to cloud object storage with state-retention partitioning so HIPAA, state-commissioner and reinsurance audits can be answered without re-extracting from a decommissioned system.
Three modes. Initial bulk: a one-shot full extract of historical Majesco/Sapiens data, sized appropriately and run during off-peak windows; typical first-pass for 10 years of policy/claim history takes 3-10 days depending on volume and rate limits. Scheduled incremental: a Data Lake / IDIT / REST delta pull on a daily/hourly/15-minute cadence using modified-since watermarks per domain. On-demand: ad-hoc extracts triggered by state-commissioner data calls, reinsurance audits or SIU investigations. All three modes use the same extractor configuration, log to the same audit trail and feed the same downstream pipeline.
Multi-target. Parquet (snappy-compressed, partitioned by state, LOB and fiscal year) for the long-term archive and analytics. FBDI ZIPs (Journal Import, AP Invoice Import, Receipt Import, Supplier Import, Customer Import) for direct Oracle Fusion loading. REST API JSON payloads for incremental real-time syncs into Fusion. CSV and Avro for downstream BI and data-warehouse loads. Hash-signed manifest files for every output describing record counts, sum totals (premium, paid-loss, ceded amounts) and reconciliation keys so auditors can verify the extract without trusting the tool.
Book a 30-minute working session. We'll connect to a Majesco or Sapiens sandbox or your read-replica, run a live extract against Data Lake, IDIT data services, REST and JDBC, and show you the signed reconciliation manifest before the call ends.