Solutions
Maximize Premiums. Reduce Costs. Identify Risks.
Insurance customers were among the first to adopt Squark to manage risk around claims and policies. We work with US-based and international insurance firms of all sizes. Whether the data is for automotive, auto property damage, general liability, workers compensation, we have experience. Use Squark to power your insurance digital transformation with prediction. No matter if focused on claims litigation, refunds, costs, or risks, you can easily apply Squark’s no code predictive analytics to insurance.
Apply Squark to Insurance:
- Connecting to your data. Squark has the connectors.
- Picking what you want to predict.
- Activating the resultant row by row prediction.
- Operationalize via our API or by exporting the model code itself in multiple formats
Squark supports your custom use-cases with all models, predictions, explanations built dynamically including:
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Squark supports your custom use-cases with all models, predictions, explanations built dynamically including:
Claims Use Cases
Which claims will have excessive costs?
Which claims will have outlier subrogations?
Which claims will have excessive costs?
How do I assess claims risk?
How should I allocate claims to agents?
Policy Use Cases
What quote-starts will convert to policies?
How do I price policies to maximize ROI?
What policies should I up-sell or cross-sell?
What coverage levels should I suggest?
What policies are at risk of lapsing?
Operational Use Cases
Predict financial returns
Inform pricing models, risk analyses, and actuarial analyses
Perform better damage assessments
Detect fraudulent claims faster
Identify where risk exists and what causes it
Now the power of binary & multinomial classification, regression, and time series forecasting can be done for you with no coding. Just define you use-case, pick you data, and click to find incremental value. Squark’s models are explainable, exportable and meet compliance standards. Squark is no code predictive analytics for insurance.
