Master Data Management with Multiple Data Models
Create models to present shared data organized for differing perspectives, including underwriting, claims analysis, actuarial analysis, product development, and more.
A Framework for Historical Data
A built-in framework captures all data assets — both mastered subjects, such as customers, agents, policies, claims, and assets – and transactional subjects in time, including premiums, exposures, recoveries, losses, and quotes.
A repertoire of ready models is the key to rapid ramp-on of data from existing applications and core systems, including CRM, Duck Creek Technologies, Guidewire, and general ledgers, as well as external market data.
Built-in Data Governance, Quality Rules – with a View
With out-of-the-box coordination of remediation tasks plus quality services for unifying, standardizing, validating, and enriching data, integration is part of the implementation process. A graphical interface provides views of master records, including pre- and post-cleansing.
Optimal Flexibility, Scalability, and Efficiency
Bundled administration applications make configuration easy, with no need for any external tools or third-party applications. The data quality engine is platform-independent and based on open standards. For users, an analytics and reporting interface supports visually intuitive, and highly efficient workflows, with integrated capabilities for each step in the analytics journey – from data preparation to content creation to assembly to publishing and deployment.