Insurance

dotData Transforms Insurance with AI

In the era of the InsurTech revolution, AI transforms insurance. Leverage AI automation to develop critical AI applications at scale.

AI-Driven Insurance

AI delivers unmatched power in helping insurers with a multitude of problems and use cases. Whether it’s mitigating risk from fraud or customer churn, underwriting, and claim, AI can automate, accelerate and optimize every aspect of insurance business. 

How dotData Helps Insurers

dotData helps insurance companies leverage their wealth of data to make smarter, faster decisions using AI/ML. Whether your AI practice is mature or just getting started, dotData can provide you with the right level of automation to help get the most from your data.

How Insurer MS&AD Achieved
250% policy conversion

Global Insurer MS&AD wanted to leverage the power of AI and Machine Learning to build a unique recommendation system for all their agents. They turned to the power of Automated Feature Engineering and dotData.

How dotData Transforms Insurance

Customer Acquisition

Overview

Develop more advanced underwriting criteria by modeling the correlation between health risk and lifestyle patterns. Create deeper customer profiles and deliver underwriting criteria that are weighed to unique needs and characteristics.

How dotData Helps

dotData lets you explore and test lifestyle patterns based on a massive amount of historical data to build risk and sensitivity models with transparent “feature explanations.” Analyze conditions that are covered by policies and that impact underwriting criterion.

Business Impact

Increase revenue and create better products tailored to customer needs.

Churn Management

Overview

Analyze historical customer churn, contracts, customers, policies, and sales to build models that allow you to identify key churn signals, predict churn propensity, and take prescriptive actions.

How dotData Helps

Detect early churn signals and help sales take preventive actions quickly. AI-discovered features provide a deep understanding of churn reasons and allow you to develop longer-term tactical actions to increase customer satisfaction, decrease churn, and grow revenue.

Business Impact

Increase revenue by reducing churn, and improve long-term customer satisfaction by addressing key dissatisfaction factors.

Accident Prediction

Overview

Develop models for predicting the risk of accidents – like cargo transportation and storage – by utilizing historical data on past incidents and damage. Tailor risk-based policy, provide sales with identified risk factors to enable better risk consultation suited to client needs.

How dotData Helps

dotData identifies key risk factors/features that influence accidents. Understanding such risk factors allows you to determine appropriate actions, like transportation methods, transportation sections, packaging methods, etc. to consult your clients to reduce the risk of accidents.

Business Impact

Reduce loss ratio and create more well-tailored proposals for clients to reduce accident risk and increase customer satisfaction.

Employee Performance Analysis

Overview

Analyze high-performing employees based on historical data such as attendance, performance evaluations, training history, and daily reports. Build a predictive model for each performance indicator, and design educational measures and KPIs according to common criteria associated with high-performing employees.

How dotData Helps

dotData allows you to efficiently develop models for employee performance in different segments and understand the commonnalities of high-performing employees. Similarly, with dotData, you can predict employee resignation factors and implement prescriptive actions to reduce employee attrition.

Business Impact

Boost employee performance, morale, and satisfaction by identifying key factors of high-performing employees.

Lifetime Value Prediction

Overview

Forecasting cross-selling, upselling and customer behaviors at the heart of calculating lifetime value. Until now they have been time-consuming and difficult to build.

How dotData Helps

Leverage historical data on customer behavior, cancellation patterns, usage, and upsell patterns to predict customer lifetime value.

Business Impact

Analyze and optimize customer lifetime value by leveraging the power of predictive analytics to build models that help you forecast consumer behavior in multiple scenarios.

Claims Processing

Overview

Modeling claims predictions and processing is time consuming, complicated and at the core of how insurance companies operate. Accelerate the process and optimize results with the power of AI.

How dotData Helps

Leverage historical claims data to understand and predict factors that result in new claims as well as the factors that influence claim processing timelines to build better products and to optimize claim processing.

Business Impact

Forecast upcoming claims to build more competitive pricing models that provide value to your consumers while minimizing costs and maximizing profitability.

dotData meets your needs

dotData Cloud

Take your AI experiments to the next level without worrying about infrastructure with the most powerful Cloud-based No-Code AI solution.

dotData Enterprise

Develop and deploy predictive analytics models in record time with the power of Automated Feature Engineering and No-Code AI Development.

Feature Factory

Build better ML models with better features. Augment your hand-built features with Automated Feature Engineering fully integrated in your Python Environment.

dotData Stream

Deploy models in real-time applications quickly and seamlessly with the power and speed of dotData Stream.

Get Started with dotData Today

Experience the power of dotData

Request a Demo

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Contact Sales

Reach out directly to our sales team with any questions