IT Blueprint Design for a Provincial Rural Credit Union
1. Application Architecture
a) High costs of legacy mainframe systems
b) Lack of omnichannel integration for front-office systems
c) Fragmented credit product workflows and risk management
d) Incomplete customer 360-view
2. Data Architecture
a) Insufficient data warehouse processing capacity
b) Basic reporting capabilities with limited analytics
c) Multiple disjointed big data platforms
3. Technology Architecture
a) Absence of two-site, three-center disaster recovery
b) Non-compliant disaster recovery architecture
4. IT Governance
a) Ambiguous IT-business alignment
b) Undefined roles and responsibilities
c) Incomplete governance mechanisms
As the sole consulting partner for this project, we supported the bank in formulating its Smart Banking IT Architecture Blueprint and the corresponding three-year (2019–2021) evolution roadmap. Our team was fully involved in all three phases of the engagement: current state assessment and issue diagnosis, architecture design and thematic planning, as well as architecture evolution planning.
Comprehensive business process mapping
Modern distributed architecture design with microservices, decoupled components, and clear functional boundaries
Unified big data platform strategy for AI-driven applications
Data governance framework and standards development
Application/System Architecture:
Supported the planning of a distributed technology-oriented application/system architecture. Enhanced system development across key business domains including product operations, product analytics, customer operations, customer analytics, and marketing management. Completed the business architecture analysis for credit-related services.
Data Architecture::
Provided recommendations for data governance, including the design of a data standards management mechanism, which advanced the standardization of data across the bank. Developed a data architecture blueprint, unified the big data platform, and clarified the relationship between the big data platform and the data warehouse.
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