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Cloud Migration and SaaS Product Suite Modernization for Financial Close Automation
  1. case
  2. Cloud Migration and SaaS Product Suite Modernization for Financial Close Automation

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Cloud Migration and SaaS Product Suite Modernization for Financial Close Automation

99x.io
Information technology
Financial services

Legacy System Limitations and Market Demands

Existing desktop-based architecture lacked scalability and modern integration capabilities. Required continuous innovation to meet evolving customer needs while maintaining 15,000+ users across 20 countries. Needed agile development processes to incorporate client feedback during product development cycles.

About the Client

Global provider of financial close automation solutions with legacy desktop systems transitioning to cloud-based SaaS platforms

Digital Transformation Goals

  • Migrate legacy systems to scalable cloud-native architecture
  • Develop modular SaaS financial close applications
  • Implement continuous feedback integration mechanism
  • Expand global market reach through cloud deployment
  • Create interoperable product suite with unified data model

Core System Capabilities

  • Automated transaction matching engine
  • Balance sheet reconciliation workflows
  • Financial close task management system
  • Real-time analytics dashboard
  • Regional compliance configuration modules

Technology Stack Requirements

Cloud-native microservices architecture
Containerization (Docker/Kubernetes)
Serverless computing framework
Multi-tenant SaaS platform
DevOps CI/CD pipelines

System Integration Needs

  • ERP systems (SAP, Oracle, Microsoft Dynamics)
  • Banking APIs for transaction data
  • Identity management systems
  • Third-party financial data sources
  • Customer success platforms

Operational Requirements

  • 99.99% system availability SLA
  • Horizontal scalability for 20,000+ concurrent users
  • Enterprise-grade data encryption
  • Multi-region deployment capability
  • ISO 27001 compliance

Business Transformation Outcomes

Enable 50% faster product iteration cycles, support 30% annual user growth, reduce infrastructure costs by 40%, and improve customer retention through continuous value delivery. Establish foundation for AI-driven financial process automation in future phases.

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