Data Platform

Here are the Niseko release highlights for Guidewire Data Platform. For more details about these features and other changes, see the following:
Note: Included usage limits might apply to the products and capabilities in this release. See Guidewire Cloud Platform Specifications and Limits (located on the Guidewire Community) for more information.

Data Platform Content

Data Platform delivers Insurance Data Models that accelerate financial reporting with curated datasets for Policy, Claims, and Billing in Explore. You can access these models in Data Studio. They simplify complex InsuranceSuite data, ensure data accuracy, and are ready to use on day one. For an overview of these models, see Insurance Data Models Overview.

Policy Insurance Data Model

The Policy Insurance Data Model is dynamically generated from the PolicyCenter entity model. It enables the financial reporting dataset content for Policy in Explore, simplifying complex PolicyCenter data related to contracts, coverage terms, and involved parties. (Customers specify which lines of business to include in the model.) This model reduces data preparation efforts by curating, denormalizing, and transforming the data, accelerating time-to-value and providing financial and business insights.

You can use the data model to create financial reports about bound policies. It contains the following:

  • Line-specific bound premium transactions
  • Calculated earnings
  • Line-specific coverages and coverage terms
  • Other fundamental attributes of the policy contract, such as involved parties, contract details, and activities

Claims Insurance Data Model

The Claims Insurance Data Model is dynamically generated from the ClaimCenter entity model. It enables the financial reporting dataset content for Claims in Explore, simplifying complex ClaimCenter data related to claims processing, statuses, and financial elements. This model reduces data preparation efforts by curating, denormalizing, and transforming the data, accelerating time-to-value and providing financial and business insights.

You can use the data model to create financial reports, perform loss analysis, and get operational insights. It contains:
  • Loss transaction line item amounts for transactions that are committed and have a booking date
  • Attributes of all loss transactions
  • Other fundamental attributes of claims, such as involved parties, claim and exposure details, the claim’s policy and coverage, and activities

Billing Insurance Data Model (for Early Access customers only)

The Billing Insurance Data Model is dynamically generated from the BillingCenter entity model. It enables the financial reporting dataset content for Billing in Explore, simplifying complex BillingCenter data related to tracking receivables, disbursements, and commissions. This model reduces data preparation efforts by curating, denormalizing, and transforming the data, accelerating time-to-value and providing financial and business insights. Improve financial visibility, minimize data preparation time, and accelerate time-to-value by leveraging a financial reporting dataset for Billing within Explore.

For a short demonstration of these features, watch this video:

Explore

Explore includes premium and loss analysis capabilities with new financial data marts, reports, and dashboards. These capabilities are ready on day one for PolicyCenter and ClaimCenter customers who also have Data Studio. They can help you accurately measure and monitor your financial position. Using Data Studio, business analysts can improve their productivity quickly, adding new and updating existing datasets, reports, and dashboards without involving the Information Technology teams.

Premium analysis - Explore for Policy

Explore for Policy provides pre-configured financial reporting models, Answers, and Liveboards for premium analysis, with curated data from your InsuranceSuite applications streamed in near real-time. You can use these tools to assess risk, ensure stability, stay competitive, and comply with regulations. They help you analyze written, inforce, earned, and unearned premiums over time and across lines of business. For details, see Explore for Policy: Financial Reporting Content.

Loss analysis - Explore for Claims

Explore for Claims provides pre-configured financial reporting models, Answers, and Liveboards for loss analysis, with curated data from your InsuranceSuite applications streamed in near real-time. You can use these tools to maintain a healthy financial position, implement loss control strategies, and reveal emerging trends in claim patterns. They help you analyze losses (paid, incurred, reserves, recovery, and loss adjustment expense [LAE]) over time and across lines of business. For details, see Explore for Claims: Financial Reporting Content.

Cloud Data Access

Stream-only provisioning mode (for PPP customers)

A new stream-only provisioning mode for Cloud Data Access (CDA) is available for Platform Packaging and Pricing (PPP) customers and for non-production environments (NPEs). In stream-only mode, the provisioning process skips the initial bulk load phase and begins ingesting changes directly, allowing for immediate data ingestion. This mode is particularly useful for real-time data processing scenarios where historical data ingestion is not required. This feature accelerates deployment of CDA-driven data pipelines by reducing initial load times.

To provision CDA in stream-only mode, submit a ticket to the Guidewire support team.

Note: The curation cannot be enabled for stream-only data products due to the lack of historical data. To learn more, see CDA provisioning data.

Table blocklist configuration (for Platform Packaging and Pricing customers)

Guidewire now supports customized blocklists for data ingestion. Cloud Data Acess (CDA) uses a default blocklist for each InsuranceSuite application. Now, you can add or remove tables from this blocklist. This feature helps you reduce bulk load time by excluding large tables from ingestion. You can also manage less data by excluding large tables with low analytical or business value.

Blocklist configuration applies at the source application level. Blocked tables are excluded from bulk and streaming modes. You can modify the blocklist before a CDA initial load, or while CDA is operational. If the source application is onboarded to the Data Platform as well, blocklisting extends to data ingested into the Data Platform, and impacts downstream apps that use this data, such as Data Studio and Explore data.

This feature is available to Platform Packaging and Pricing (PPP) customers. To modify the blocklist, request support from Guidewire by submitting a Community Case ticket. You can add or remove (include or exclude) a maximum of 10 tables each. Certain limitations apply; you cannot blocklist a table that is required by downstream curation services in the Data Platform.

For more information, see Blocklisted tables.