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Insurance Solutions

Formerly Moody’s RMS

For many organizations – which are rooted in the real rather than the ideal world, switching to the cloud is an organic, evolving process. Timelines and corporate goals toward a total transition to the cloud are typically mapped out, whether over a period of one year or five years. The route to a complete or even a majority switch to the cloud involves many stages, and there is pressure to make the transition.

Companies see the cloud as an essential part of the disruption that is changing the way the (re)insurance industry works to reduce costs, unlock new insights, and become nimbler and more efficient. At the same time, businesses may find themselves in a limbo state with the increasing cost and complexity of updating legacy systems, as well as expanding their infrastructure footprint to encompass new technology solutions. Businesses know there is no “lift-and-shift” solution for moving seamlessly to the cloud.

Risk modeling, like many other business areas and functions, is going through a transformation. Cloud-based solutions such as the RMS® Risk Intelligence platform are making significant inroads with our clients as they move through different stages of their cloud journey. But again, it is a staged process, and each stage needs to be managed. For many of our current on-premise RiskLink® clients, our support for T-SQL is essential, and we have demonstrated our commitment to support the software our clients use for both RiskLink and RiskBrowser® solutions. In parallel with our RiskLink support for on-premise clients, for those clients who want to start the migration to Risk Modeler – we can help.

Facilitate Integration With Existing Systems

For existing RiskLink clients who want to adopt Risk Modeler 2.0, the newly introduced RMS Data Bridge offers the ability to move existing first- and third-party system integrations with little or no change in workflows. The Exposure Data Module (EDM) and Results Data Module (RDM), have been the predominant “risk currency” for some time, and many organizations have existing workflows that interact with EDM and RDM databases using T-SQL. This backwards compatibility is a critical consideration for cloud migration decisions and timelines.

By supporting integrations using T-SQL and REST APIs, RMS Data Bridge is purposely designed to help organizations migrate data to the cloud at their own pace, in stages. Data Bridge encourages clients to embrace the value and scalability of the cloud and maintain business processes that are dependent on legacy technologies, such as Microsoft SQL Server and SQL Server Management Studio. 

SQL Access Using RMS Data Bridge

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Figure 1: Screenshot of SQL Server Management Studio showing a query and results

With Data Bridge, there is no need to rebuild current workflow integrations or retrain users who are familiar with editing and querying EDM and RDM data directly using T-SQL queries. RMS Data Bridge creates the connection to our Risk Intelligence platform so organizations can continue to use their current workflows until the time is right to migrate fully to REST APIs and the cloud.

Secure Access for Only Those Who Need It

Access to RMS Data Bridge is restricted to ensure compliance with business guidelines. By using the Risk Intelligence platform’s Admin Center, only permitted IP addresses can enter the secure data environment. A Risk Intelligence platform administrator manages tenants’ access to the RMS Data Bridge Microsoft SQL Server instance and assigns contributor and consumer roles to users. Only users with these roles can access the Data Bridge SQL Server instance.

RMS Data Bridge can accelerate your journey to unlock the benefits of a fully cloud-based risk analytics and modeling environment with users in control of the transition process. With Data Bridge, RMS helps you maintain well-supported on-premise solutions as you begin to adopt the cloud. For more details, you can view the on-demand webinar or contact sales@rms.com.

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Lonny Bastien
Lonny Bastien
Senior Director, Product Management Risk Analytics

Lonny Bastien leads the Risk Intelligence Platform Product Management team. Lonny has over 20 years of experience delivering industry-leading desktop, server and cloud-based solutions and platforms. 

Prior to joining Moody's RMS, Lonny held leadership positions at companies including Microsoft and The Trade Desk.

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