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Datagrator
Home
About us
For Insurers
  • Digital Strategy
  • Custom software
  • Digital Insurance Design
  • Data for AI development
  • Regulatory Compliance
  • Project Management
For Insurtechs
  • Go to market strategy
  • Integrating with Insurers
More
  • Home
  • About us
  • For Insurers
    • Digital Strategy
    • Custom software
    • Digital Insurance Design
    • Data for AI development
    • Regulatory Compliance
    • Project Management
  • For Insurtechs
    • Go to market strategy
    • Integrating with Insurers
  • Home
  • About us
  • For Insurers
    • Digital Strategy
    • Custom software
    • Digital Insurance Design
    • Data for AI development
    • Regulatory Compliance
    • Project Management
  • For Insurtechs
    • Go to market strategy
    • Integrating with Insurers

Case Study: Life Insurer integrates custom and standard software for an award winning experience

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Datagrator: Custom Software development

When standard product just doesn't fit

When standard product just doesn't fit

When standard product just doesn't fit

Most insurers have unique processes, it's no surprise that standard off the shelf products from market vendors  don't always fit comfortably. To avoid comprimising high performing processes, bespoke software brings the finishing touches to deliver on unique requirements.


Step 1: Gap analysis

When standard product just doesn't fit

When standard product just doesn't fit

The key at this stage is a we defined requirement that has a clear business objective and has considered the needs of people and system users. It's important also to ensure the operational requirements are well understood. A workshop with the customer provides the right forum for soliciting the requirements in detail.

Step 2: Design and Development

When standard product just doesn't fit

Step 2: Design and Development

Once the retirement is clear, a well architected design is considered before development begins. An agile methodology is used to build on a working piece of software from the outset, keeping the client informed by sharing access to the developing artefacts through the process.

Step 3: Quality assurance

Step 4: Operational resilience

Step 2: Design and Development

Customer acceptance is sought once the code has passed rigorous functional and non functional testing.

Step 4: Operational resilience

Step 4: Operational resilience

Step 4: Operational resilience

The deployment of the software in a production environment is tested to meet the needs of operational resilience and to ensure the highest standards of data integrity and security are maintained, giving peace of mind that recovery can be achieved gracefully in any scenario.

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