Insurance Pricing Accelerator

Take back control of your insurance pricing platform with TIBCO's Insurance Pricing Accelerator. Transform your business into an Algorithmic Insurer by deploying pricing and propensity models you build and control to gain advantage over competitors using industry-standard black box software packages. Hot deploy these models and watch the results in real-time with the TIBCO Insight Platform.

Compatible Products

TIBCO Spotfire® TIBCO® Enterprise Runtime for R (TERR™) TIBCO® Live Datamart TIBCO StreamBase®

Provider

TIBCO Software

Supported Versions

Software Version
TIBCO Enterprise Message Service 8.3.0
TIBCO StreamBase 7.7.0
TIBCO Live Datamart 7.7.0
TIBCO StreamBase Artifact Management Server 1.1.1
TIBCO LiveView Web 1.3.0
TIBCO Spotfire Server 7.9.0
TIBCO Spotfire Analyst 7.9.0
TIBCO Enterprise Runtime for R 4.2.0

License

TIBCO Component Exchange License

Overview

The Insurance Pricing Accelerator contains components for managing the full insight-to-action cycle of an Algorithmic Insurer. The insight components allows wrangling and analysis of historical quote data which results in a propensity model and includes several out-of-the-box models to choose from. A model is then deployed to the action components, which operate in real-time on quote requests as they are submitted. Each quote is scored and a price and commission profile, fully customized for each individual customer. Overall health of the system as well as model effectiveness can be evaluated on a real-time dashboard.

Support Details

The DevZone Forums are a traditional threaded discussion service subscribed to by Accelerator Developers, Practitioners, and Customers with a shared interest in the TIBCO Event Processing and Streaming Analytics platforms.  Accelerators are provided as fast start templates and design pattern examples and are supported as delivered.  For all questions concerning Accelerator use and implementation, please open a new discussion in the DevZone forum here: http://devzone.tibco.com/forums/forums/list.page

License Details

Release(s)

Release 1.0.0

Published: June 2017

Full documentation set including Quick Start Guide, Functional Specification, and Interface Specification are available by downloading the full Accelerator distribution package.

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Insurance Pricing Accelerator


Overview

The Insurance Pricing Accelerator illustrates a reference architecture that shows how Predictive Analytics and Streaming Analytics can help insurers move towards an algorithmic business model. It provides a platform to improve competitiveness with bespoke pricing models and reduces reliance on expensive black-box software. The platform evaluates the model effectiveness in real-time giving the opportunity to take immediate action in response to changing market conditions. 

   

Also see this article on the TIBCO Blog by Richard Price explaining the concept of the Algorithmic Insurer:

https://www.tibco.com/blog/2017/02/28/the-algorithmic-insurer-liberating-and-leveraging-algorithms-ready-for-the-fourth-industrial-revolution/

What's New

Click here for to download latest release of Insurance Pricing Accelerator from the TIBCO Community Exchange

Business Scenario

Historically, the insurance software market has been dominated by a handful of specialist vendors whose products can be both expensive to deploy and difficult to customize without the involvement of the IT department.

Operated by IT departments largely as “black box” solutions, leading insurance firms are effectively all using the same algorithms to assess and price risk, with little opportunity to fine tune the logic used or to do so quickly in order to, for example, react to market trends and legislative changes, or differentiate insurance products for competitive advantage.

Beyond that, the data analytics and algorithms applied by most legacy applications are, for the most part, basic and well behind the technology curve. The majority are designed to work purely with static data and are unable to handle multiple real-time data streams, or apply advanced predictive models to better understand and forecast possible risk. Added to which the black boxes are failing to add more advanced analytical capabilities, like those available through statistical languages such as R, which is rapidly becoming the tool of choice for data scientists.

Lastly, legacy insurance applications can be difficult to integrate, particularly into a modern IT fabric spanning a mix of public and private cloud, as well as on-premise platforms. That, in turn, creates barriers when it comes to the automation and streamlining of business processes—a growing requirement as companies move towards wider digital transformation.

Concepts

Benefits and Business Value

By unlocking the algorithms from the proprietary software, this opens up the possibility of gaining business advantage over competitors. Moving beyond the black box approach allows insurers to leverage human capital in the form of their data scientists to come up with new and innovative models. Providing the right tools for the job helps accomplish this goal. The Insurance Pricing Accelerator is a set of tools that allow insurers to build their own pricing and propensity models, evaluate their effectiveness, and hot deploy them into a running system that will then execute against them in real-time. Feedback from this execution can be rapidly fed back in to the modelling process and the models can be re-evaluated and updated more frequently.

Technical Scenario

The accelerator demonstrates the insight-to-action loop for insurance pricing prediction. The analyst can use the Spotfire DXP to model the propensity for customers to accept or reject an insurance offer based on a number of customer properties. Once the analysis is completed, the model can be hot deployed to StreamBase so that quote requests can be scored in real-time.

A simulator can then be run to send through a series of quote requests. Each request is scored against the model for propensity. Based on this, a commission and discount are computed based on the probability of acceptance, and a premium is generated. This information is combined together and an overall quote offer is produced and returned to the customer. The simulator then acts as the customer and either accepts or rejects the offer. All this information is stored in Live Datamart and a real-time dashboard provides summary statistics about what’s happening as quotes flow through the system.

At the heart of the accelerator are three components: the Quote Manager, the Model Manager, and the Analytics Server. They form the principle components of an analysis-action feedback loop. The Quote Manager and the Model Manager are implemented using StreamBase and Enterprise Runtime for R (TERR). The Analytics Server is implemented using Spotfire and TERR.

As quote requests flow through the Quote Manager, they are scored and published to a real-time datamart implemented using Live Datamart and displayed on a real-time dashboard implemented using LiveView Web.

Once scored the Quote Manager returns the result back to the calling application which presents the quote to the customer who then accepts or rejects the offer.

Components

TIBCO software products and versions used:

Software Version
TIBCO StreamBase 7.7.0
TIBCO Live Datamart 7.7.0
TIBCO LiveView Web 1.3.0
TIBCO StreamBase Artifact Management Server 1.1.1
TIBCO Spotfire Server 7.9.0
TIBCO Spotfire Analyst 7.9.0
TIBCO Enterprise Runtime for R 4.2.0
TIBCO Enterprise Message Service 8.3.0

Documentation & Learn More

Documentation Quick Start Guide is available by downloading the full Accelerator distribution package from here (license file for this component is here: license).

Insurance Pricing TIBCO Community Wiki page for customer stories and further info on the concept of "Algorithmic Insurer"

Back to main Accelerator page

View the Wiki Page