Guidewire Data
Management Consulting
Insurance companies constantly evaluate cost and agility when considering digital transformation. Legacy systems often hinder operational efficiency due to their limited ability to integrate with external vendors—resulting in manual, time-consuming processes across policy administration, billing, and claims management. This inefficiency can negatively impact customer experience and profitability.
To address these challenges, Guidewire, the industry-leading provider of P&C insurance platforms, introduced a comprehensive Insurance Suite—PolicyCenter, BillingCenter, and ClaimCenter—designed to help insurers modernize their core operations.
Guidewire Insurance Suite
At Dark Magnetars, we provide specialized consulting services to support data implementation efforts during Guidewire transformations. Our expertise spans across
- Data Migration
- DataHub & InfoCenter
- External Data Integrations
- Data Reconciliation & ETL Testing
While Guidewire offers a strong foundation with its out-of-the-box (OOTB) capabilities, we amplify the value of transformation through our custom-built accelerators that significantly reduce development time, cost, and manual effort.
Our solutions ensure a seamless data journey—from extraction and transformation to reporting and analytics—enabling insurers to leverage data as a strategic asset.
Guidewire DataHub, InfoCenter & Business Reporting
Guidewire introduced its own out-of-the-box (OOTB) data products—DataHub and InfoCenter—built using SAP BODS, to help insurers establish a centralized data warehouse from their core systems: PolicyCenter, BillingCenter, and ClaimCenter.
These solutions empower business users to create rich, actionable reports through InfoCenter, enabling deeper organizational insights and driving data-informed strategic decisions that enhance profitability and operational effectiveness.
At Dark Magnetars, we bring deep expertise in:
- Guidewire source systems
- Fact and dimension data modeling
The end-to-end DH-IC ETL process:
- Capturing change data from source systems
- Extracting and transforming data
- Applying cleansing and validation rules
- Loading data into DataHub (staging layer)
- Performing audits
- Processing data into InfoCenter (the core data warehouse), followed by final audits
We ensure high data integrity, reliability, and reporting accuracy across the full data pipeline. Additionally, our dedicated reporting team builds and delivers customized business reports on InfoCenter data—equipping management teams with powerful insights to monitor performance, track growth, and steer organizational strategy
DH-IC Dimension Generator
We have developed a proprietary accelerator in the DH-IC space that automates 50–60% of a developer's effort, significantly reducing manual work. This innovation allows our clients to complete their DH-IC implementations faster and at a lower operational cost.
Guidewire Data Migration
When customers adopt Guidewire PolicyCenter, BillingCenter, or ClaimCenter to manage their core operations, they often initiate a data migration from their legacy systems to the new Guidewire platform.
The key drivers for this transition include:
- Enhanced security
- Centralized data access
- Increased operational agility
- Improved data analytics capabilities
- Decommissioning of legacy systems
- Strengthened regulatory compliance
- Superior customer service
At Dark Magnetars, we have a specialized team with deep expertise in successfully executing Guidewire data migrations. We define the scope of migration—such as the number of years of historical data to be included—and design a phased migration approach based on policy status, product types, and other business criteria.
Our experts are adept at interpreting both source and target data models and work closely with client-side SMEs to develop comprehensive migration mapping documents. Once requirements are finalized, we implement robust ETL pipelines to extract data from legacy systems, load it into a staging environment, apply validation rules, perform integrity checks, and execute the final load. Additionally, we have processes in place to reprocess any claims that fail integrity checks in subsequent runs.
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Migration Mapper
We have developed a proprietary accelerator that automates up to 50% of the business analyst tasks during data migration projects. This significantly reduces the need for a large BA team and improves overall project efficiency.
Guidewire External Data Integrations
Insurance companies frequently partner with third-party vendors to gain key business benefits such as claims fraud detection and electronic document management. Additionally, they often require integration of external data into their internal systems for critical functions—such as policy pricing, maintaining the general ledger for accounting, or enabling operational policy search and retrieval to support claims creation when PolicyCenter is not yet fully implemented.
At Dark Magnetars, we bring deep expertise in analyzing external data integration requirements. Our team designs robust and efficient ETL solutions—covering Change Data Capture (CDC), data extraction, transformation, cleansing, validation, and loading. We focus on delivering high-quality, performance-optimized code that ensures long-term stability and avoids future data or performance issues.
In the vast and complex landscape of Guidewire data streams—such as DataHub & InfoCenter (DH-IC), Data Migration, and External Data Integrations—ETL testing plays a pivotal role. It ensures the accuracy and integrity of data processing by validating both row counts and individual attributes between source and target datasets.
ETL testing is equally essential during infrastructure upgrades or Guidewire application version upgrades (PolicyCenter, BillingCenter, ClaimCenter, DH-IC). These transitions can introduce discrepancies, making rigorous data validation critical.
At Dark Magnetars, we have established a dedicated ETL testing team with strong expertise in translating ETL logic into SQL code for test validation. Our approach involves comparing data derived through SQL (based on source logic) with the data loaded into target systems via ETL pipelines—enabling us to accurately identify data mismatches or processing issues.
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Reconcillator
We have developed a powerful accelerator that enhances ETL testing efficiency by up to 50%. This tool automatically generates both summary and detailed comparison reports between the source (as defined by SQL logic) and the target datasets (populated by ETL). It significantly simplifies regression testing, requiring minimal additional effort.
This accelerator is adaptable across a wide range of data initiatives—including DH-IC, Data Migration, External Data Integrations, Guidewire application upgrades, infrastructure upgrades (ETL tool or database), and even non-Guidewire systems—for comprehensive data reconciliation.
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