Case Study · BI & Product Strategy

From Reporting Function to Competitive Capability.

An insurance technology provider wanted analytics and dashboards to become a genuine differentiator of its platform. AIA assessed its data architecture, reporting environment, and product strategy - and built the roadmap to get there.

Result: a data and analytics strategy that positioned dashboards and KPIs as part of the product offering - with a data management foundation and a phased roadmap for a next-generation BI platform.
01 - Client Situation

Carriers expected more than reports.

The company recognized that carriers increasingly expected actionable dashboards, operational analytics, performance management, and decision support as part of their core insurance platforms. With billing and claims capabilities joining the portfolio, the opportunity to deliver was real - if the foundations could support it.

BI & analytics assessment Data architecture review Dashboard & KPI strategy External data research Next-generation BI roadmap
01

Product Ambition

Analytics and dashboards positioned as a competitive differentiator for existing and future customers.

02

Expanding Portfolio

New billing and claims capabilities created an opening to significantly enhance reporting and analytics.

03

Foundational Reporting Only

The existing environment supported operational reports, but not advanced analytics or differentiated dashboards.

04

Roadmap Need

A practical, sequenced path from the current environment to a next-generation BI platform.

02 - The Challenge

Constraints in the data, and in the reporting built on it.

Limitations ran through both layers - the architecture underneath, and the analytics customers actually saw.

Data & architecture constraints

  • No centralized reference data management
  • No enterprise logical or physical data model
  • Limited metadata and business glossary discipline
  • Limited support for historical and financial reporting
  • Future claims, billing, and external data still to integrate

Reporting & analytics constraints

  • Roughly half of the BI platform's capabilities went unused
  • Reports focused on transaction detail rather than performance trends
  • Inconsistent report design and usability
  • Missing executive dashboards, KPI reporting, and comparative analytics
  • Dashboard content needed depth by insurance user area
03 - AIA's Approach

A comprehensive BI and data management assessment.

AIA evaluated the product strategy, reporting environment, data architecture, analytics opportunities, and future-state dashboard requirements together - because a product-grade analytics offering depends on all of them.

01

Business & Product Assessment

Reviewed existing product offerings, dashboard capabilities, business plans, and customer-facing analytics opportunities.

02

Data Architecture Assessment

Reviewed data marts, warehouse design, metadata, business glossary needs, data structures, and dimensional modeling approaches.

03

Business Intelligence Review

Evaluated existing reports for functionality, design, usability, standardization, and business content.

04

Market & External Data Research

Assessed geospatial analytics opportunities, competitor benchmarking sources, insurance KPIs, and third-party data integration.

04 - Recommendations

A strategy for product differentiation.

Recommendations spanned data management, architecture, dashboard design, and third-party data - each building toward analytics as a product capability, not a feature.

01

Data Management Foundation

Enterprise data governance practices, a centralized metadata repository, a standard business glossary, and reference data management.

02

Architecture Enhancement

A modernized warehouse architecture, integrated dimensional models, claims and billing data marts, and support for historical and financial reporting.

03

Reporting & Analytics Expansion

Redesigned reports and dashboards, KPI-driven performance management, and analytics for underwriting, claims, billing, finance, and marketing.

04

Competitive Analytics

Third-party benchmarking, geospatial intelligence, and external data sources to give customers insight competitors could not match.

05 - Transformation Roadmap

A phased path to enhanced analytics.

The roadmap delivered incremental value at each step while building toward a more sophisticated analytics platform.

01

Improve Existing Reports

Expand and improve the reports customers already rely on - immediate, visible value.

02

Introduce Dashboards

Deliver dashboard capabilities using currently available data.

03

Expand the Data Model

Extend the data model with existing source system information, including claims and billing data.

04

Integrate External Data

Bring in geospatial and competitive benchmarking data to differentiate the platform.

06 - Business Impact

Analytics as part of the product's value.

/ 01

Product Differentiation

Analytics and dashboards positioned as part of the competitive product offering.

/ 02

Customer Decision Support

Expanded opportunities for customers to manage performance through dashboards and KPIs.

/ 03

Data Foundation

Clear direction for metadata, glossary, reference data, data marts, and data model improvements.

/ 04

Claims & Billing Analytics

A defined path for integrating claims and billing data into the analytics platform.

/ 05

External Data Integration

Identified opportunities to use geospatial and competitor data to enhance dashboard value.

/ 06

Scalable Roadmap

Near-term improvements delivered while building long-term analytics capability.

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Data, Analytics & Product Strategy

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