Insurance

Forward-thinking digital innovation for a forward-thinking industry

Insuring the future of the insurance industry

Amid a digital revolution propelled by technologies ranging from Artificial Intelligence (AI) to Internet of Things (IoT) to Blockchain, the insurance industry has experienced more disruption in the past ten years than in the prior 100. No longer able to fall back on their domain expertise and customer base alone, insurance companies must innovate to keep up with the very industries and customers they insure.

DataArt helps insurers stay ahead of the curve and mitigate risk by leveraging technology to optimize operational efficiency and business agility; we focus on high-value areas such as data, automation, analytics, core system development, and customer engagement.

Insurance Case Studies

  • Employee Benefits Mobile Platform

    Employee Benefits Mobile Platform

    One of the largest insurers and asset managers on the market wanted its employees to have a cohesive, cross-channel experience when accessing its services. DataArt built a mobile platform that would provide employees with access to secure workplaces managed by their employers.

  • Institutional Contract Management Platform

    Institutional Contract Management Platform

    A leading financial services and insurance company has a complicated claims assessment process which was formerly manual, expensive, time consuming and fraught with errors and risks. DataArt helped to build a distributed ledger platform that enables a peer-to-peer communication and streamlines the contract management.

  • Automated Data Analytics for a Large Insurance and Asset Management Provider

    Automated Data Analytics for a Large Insurance and Asset Management Provider

    The client was struggling with inefficiency in its actuarial workflow, resulting in high costs and lost deals. The company engaged DataArt for a long-term and trusted partnership to design and build an automated data analytics platform with a simple, intuitive user interface.

  • Commercial Marine Insurance Product

    Commercial Marine Insurance Product

    The client had a first version of the product, but it used an outdated technology. The goal was to rewrite the application and make it modular, expandable, easy to support and release a new version for sale. The end product we developed handled both P&I and Fixed Premium insurance for commercial craft.

Our Strategic Approach

As a strategic IT partner, DataArt understands that simply acknowledging the urgency for digital transformation is just the first step to successful innovation. Achieving value and mitigating risk through planning and implementation is a completely separate story, particularly in an industry whose digital future is yet to be defined. To navigate this new territory, we work with our clients to secure stakeholder support, align on clear objectives, assemble a first-rate team, implement an agile approach to development, and continuously harness data to inform future, customer-centered changes. Learn more about how we engage with our clients here.

Domain Expertise

Our team consists of IT solution experts and domain-specific subject matter experts that can help tackle the myriad of business and technology challenges faced by entities working across the insurance industry. DataArt has expertise in:

  • Property and Casualty
  • Life
  • Health and Annuities
  • Specialty
  • Reinsurance
  • MGAs/TPA’s
  • Syndicates on both a domestic and an international basis.

Solutions

As a technology consultancy and software development company, DataArt has experience in:

Core Systems

Data and Advanced Analytics

Cloud migrations

Artificial Intelligence and Machine Learning

Microservices Development

IoT

RPA and Automation

Mobile solutions

Bespoke build and system integrations

How We Engage Our Clients

DataArt focuses as much on business strategy and organizational development as on technical innovation. We typically start projects with Discovery to truly understand the objectives, needs, and challenges that will inform the scope and prioritization of projects based on value and risk. We then transition into Solution Design in which we optimize value and manage risks by testing risk/value return and technical assumptions with prototypes and proof of concepts. However, design does not stop with the start of build; we set up iterative processes for continuous measurement and innovation to improve and add functionality through multiple releases.

machine learning process

The SMAC Concept

The SMAC (Social, Mobile, Analytics, Cloud) concept applied to insurance business shows how to influence customer expectations, behavior and interactions.

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Social Media

Customers tend to compare prices online and search social media before buying insurance; utilize social media to:

  • Collect customer data
  • Gain precise understanding of customer needs
  • Measure customer satisfaction level
  • Establish direct customer relationships

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Mobile & Sensors

Collect real-time customer data:

  • ‘Fit tech’ (wearables) for health insurance
  • Vehicles and shipping containers sensors for motor and marine insurance
  • Various sensors in buildings

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Analytics

Analyze extensive data using big data, AI, and machine learning to:

  • Assess and price risk effectively
  • Settle claims with accuracy and timeliness
  • Tackle fraudulent claims
  • Personalize marketing strategies for each customer

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Cloud

Harness cloud services by incorporating sensor and mobile technology and facilitate instant access to data:

  • Automate onboarding and claim management
  • Automate onboarding and claim management
  • Use flexible and scalable cloud platforms
  • Build a cost-effective environment
  • Achieve high availability and disaster-proof solutions


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