iFoundry

Life-insurance analytics, designed in the open.

OpenLife Analytics is a source-available analytics product, in development as part of the wider OpenLife product. Its architecture, data definitions, integration plan, and specs are published, so a team can see the whole system before it is built.

Insurance data architecture

Supporting build partner · Source-available product · In development

Data ModernizationFinancial services

A documented analytics foundation teams can build from.

Instead of another analytics vision deck, the team gets a concrete plan it can review and build from.

  • Open

    Source available, part of OpenLife

  • Data

    Business definitions and model included

  • Integrations

    System boundaries and patterns named

  • Specs

    Formal references a team can inspect

Architecture diagram for the OpenLife Analytics platform
One place to see the architecture, data, and integration plan.

Life-insurance analytics work usually starts with real pain: reporting is slow, definitions drift, and the data needed for smarter decisions lives in too many systems.

That kind of effort often gets split across slide decks and scattered specs. The team agrees that the problem is real, but still lacks one plan it can build.

OpenLife Analytics puts the architecture, data definitions, integration patterns, diagrams, and formal specs into one public structure so reviewers can see the system as a whole.

A working plan: system layout, data models, integration guidance, diagrams, and reference specs that a delivery team can inspect and extend.

Architecture, data definitions, integration guidance, diagrams, and formal specs for a life-insurance analytics build.

The public plan includes AI decision-support as part of the analytics design, but what you can inspect today is a build-ready plan rather than a production AI workflow.

What this means for your team

  • A plan, not a vision deck

    Architecture, data definitions, and specs a team can review and build from before the build budget is spent.

  • Insurance data, defined

    Business definitions and a data model for life-insurance analytics that business and IT can review together.

  • Integration boundaries named early

    System boundaries and integration patterns are part of the plan, so the build doesn't discover them late.

Talk with us about building an analytics foundation like this.

We were the supporting build partner on OpenLife Analytics. Tell us what you want to build and what exists today, and we will say what we'd tackle first and whether we're the right team for it.