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AIG Global BI Dashboard and Application Platform Modernization
  1. case
  2. AIG Global BI Dashboard and Application Platform Modernization

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AIG Global BI Dashboard and Application Platform Modernization

door3.com
Financial services
Business services

Challenges with Data Accessibility and Decision Making

AIG faces challenges in providing a cohesive and user-friendly experience for its Business Intelligence (BI) dashboards. The current environment lacks a consistent interface across applications, hindering evidence-based decision-making and impacting application adoption. Users struggle to understand data models and leverage existing data effectively, leading to reliance on intuition rather than data-driven insights. Scalability and consistency across a diverse technology landscape are also concerns.

About the Client

A global insurance company offering a wide range of insurance products for businesses and individuals, with significant global operations and assets.

Project Goals

  • Develop a unified and consistent design system for BI dashboards and applications.
  • Establish scalable guidelines for the development of new AIG applications.
  • Improve data comprehension and accessibility through a world-class interface.
  • Increase user adoption and usage of existing and new applications.
  • Enable evidence-based decision-making across the organization.

Functional Requirements

  • Consistent design system for dashboards and applications
  • Unified navigation and information architecture
  • Prioritized, globally accessible filter system
  • Support for large data tables and forms
  • Enhanced help and onboarding experience for new users
  • Technology-agnostic recommendations and fallback options

Preferred Technologies

(Specific technologies to be determined during the project, based on AIG's existing infrastructure and requirements. The case study mentions technology reviews.)

Integrations Required

  • Existing AIG Science platforms, Data warehouses, Data sources across various AIG business units

Key Non-Functional Requirements

  • Scalability to handle large datasets and user base
  • High performance and low latency
  • Robust security measures to protect sensitive data
  • Accessibility for users with disabilities

Expected Business Impact

This project is expected to significantly improve decision-making efficiency, reduce reliance on intuition, and increase the overall effectiveness of AIG's operations. Improved user adoption and data accessibility will lead to better business outcomes, increased agility, and a stronger competitive advantage. The consistent design system will also reduce development costs and improve maintainability.

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