CASE-STUDY
Redefining Global Capability for a Leading Bank
Challenge
A global banking institution was struggling with fragmented vendor dependencies and slow analytics turnaround.
Multiple delivery partners, siloed data teams, and inconsistent governance frameworks resulted in long project cycles and rising operational costs.
Their goal:
establish a centralized, scalable analytics capability that could deliver faster insights, reduce external dependency, and maintain compliance across regions.
Solution
AuroPro conducted a comprehensive organizational and architecture assessment, then designed and deployed a Global Capability Center (GCC) with measurable efficiency frameworks.
Key initiatives included:
Creating a unified AI and Analytics Operating Model that standardized data governance, security, and reporting.
Deploying a Center of Excellence (CoE) for cross-functional collaboration and skill enablement.
Implementing delivery and sprint governance models to accelerate project throughput.
Integrating self-service BI environments to democratize data access across business units.
Outcome
AuroPro designed a complete modernization roadmap:
35%
reduction
in vendor dependency and associated costs.
2×
improvement
in analytics delivery speed.
A self-sustaining GCC that evolved into a hub of innovation and rapid AI adoption.
The result:
Today, the bank runs its analytics and AI programs independently, with agility and control that align business decisions directly to data-driven outcomes.
