SAS® Insurance Analytics Architecture
Ensure consistency, reduce costs and data preparation time, and make fact-based decisions
Inconsistent, incomplete and inaccurate data spread across multiple operational systems – such as policy, claims and billing – often leads to business decisions based on "gut feel" rather than reliable analysis. What if you could consolidate data across the organization and make it easily accessible for analytics and reporting, so you could ensure consistency, reduce costs and data preparation time, as well as enable users to make fact-based decisions? You can.
Benefits
- Deliver information that's consistent, accurate, verifiable and up-to-date.
- Gain a complete, integrated view of all your enterprise data.
- Always have access to the data you need, when you need it.
- Provide clear, structured information to all who need it.
- Eliminate overlapping, redundant tools and systems with one solution.
" SAS lets us work faster and smarter. More and more people are requesting access: SAS is a fundamental building block for what we want to achieve as the business moves forward."
—Charlie Ewing
Finance Business Solutions
AEGON
How SAS® Is Different
- Only SAS Insurance Analytics Architecture lets you reduce costs and implementation time with insurance-specific logical and physical data models and prebuilt ETL functionality.
- Superior data management capabilities give you confidence in your data's integrity by letting you consolidate data from multiple legacy systems into a single version of the truth and automatically validating data as part of the data integration process.
- SAS Insurance Analytics Architecture lowers your total cost of ownership by providing a single, unified environment for integrating, sharing, centrally managing and using data.
Benefits
- Deliver information that's consistent, accurate, verifiable and up-to-date. SAS Insurance Analytics Architecture lets you access accurate data consistently, when and where it is needed, giving you increased confidence in the accuracy and timeliness of your data.
- Gain a complete, integrated view of all your enterprise data. A comprehensive data dictionary covers all key insurance subject areas – e.g., customer, policy, claim, financial accounting and reinsurance – and predefined logical and physical data models serve as a single version of truth that standardizes more than 5,000 insurance data elements.
- Always have access to the data you need, when you need it. From older, legacy policy administration systems to the latest claims management applications, SAS Insurance Analytics Architecture can access and process data from virtually any hardware platform or operating system. As a result, you'll save time, shorten the learning curve and give decision makers the information they really need.
- Provide clear, structured information to all who need it. SAS Insurance Analytics Architecture provides a full breadth of business intelligence capabilities and includes an easy-to-use, Web-based reporting environment for easily communicating critical business information to the right people within your organization.
- Eliminate overlapping, redundant tools and systems with one solution. SAS Insurance Analytics Architecture is a flexible, reliable and complete solution that eliminates the piecemeal approach of linking and managing technologies from different vendors, and provides lower overall cost, reduced risk and faster results.
Features
- Insurance data model
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- Serves as a single version of the truth, covering all key insurance subject areas.
- Stores historical information at a granular level.
- Provides a comprehensive dictionary that describes insurance data elements.
- Maps all physical data structures to business terms.
- Includes both logical and physical data models – e.g., ERwin data models and SAS metadata.
- Can be deployed in multiple databases, including SAS, Oracle, Teradata and DB2.
- Provides business data definitions that are consistent with global insurance data standards, such as ACORD.
- Supports a variety of business issues, including Solvency II.
- Supports P&C (both personal lines and commercial lines) and life products, and has the flexibility to extend to new lines of business.
- Data management
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- Accesses data from virtually any system in any form.
- Embeds data quality into batch, near-real-time and real-time processes.
- Cleanses data in native languages, with specific language awareness and localizations for more than 20 worldwide regions.
- Contains customized and reusable data quality business rules that can be accessed directly within process job flows.
- Handles data migration and synchronization federation projects.
- Includes wizards for accessing source systems, creating target structures, importing and exporting metadata, and building and executing data extraction, transformation and loading (ETL) process flows.
- Provides a dedicated GUI for profiling data and identifying and repairing source system issues, while retaining the business rules for later use in the ETL processes.
- Has enterprise connectivity to data sources – AS400, ODBC, IBM DB2/UDB, Informix, Microsoft Access, Excel, SQL Server, Netezza, Oracle, Sybase, SAS, Teradata and more.
- Supports both unstructured and semistructured data.
- Uses out-of-the-box standardization rules to conform data to corporate standards, and lets you build customized rules for special situations.
- Provides an interactive GUI that enables data stewards to profile operational data and monitor ongoing data activities.
- Migrates or synchronizes data between database structures, enterprise applications, mainframe legacy files, text, XML, message queues and a host of other sources.
- Joins data across sources for real-time access and analysis.
- Reporting and business intelligence
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- Provides a Web-based, interactive reporting interface for business users.
- Includes query capabilities for all levels of users across multiple BI interfaces.
- Slices and dices multidimensional data using a special slicer dimension and by applying filters on any level of a hierarchy.
- Displays performance results via critical first-alert, call-to-action dashboards.
- Provides dynamic business visualization tools for interactive data exploration, visual queries and more.
- Includes access to SAS capabilities for data access, reporting and analytics directly from Microsoft Office, including Word, Excel and PowerPoint.
- Enables wizard-driven report creation within Microsoft Office tools.
System Requirements
Client environment
Windows 32- and 64-bit
Server environment
- Windows 32- and 64-bit
- Solaris (SPARC and x86-64)
- HP-UX (PA RISC and Itanium)
- AIX
- LINUX 32- and 64-bit
Middle tier
- Windows 32- and 64-bit
- Solaris (SPARC and x86-64)
- AIX
- Linux 64-bit
- HP-UX Itanium
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
