Objective and Scope:
The client, a commercial bank, sought to develop a comprehensive data and analytics strategy to enable data-driven decision-making. The engagement aimed to:
- Define analytics roadmap and use cases through stakeholder engagement across executive leadership, business units, and technology teams to identify high-impact opportunities aligned with business priorities
- Design future-state data architecture encompassing current state assessment, gap analysis, and scalable architecture design to support advanced analytics and risk management
Approach:
Benori deployed a structured 4-phase methodology combining stakeholder discovery, use case prioritization, architecture design, and implementation roadmapping. The CRUISE framework was applied to evaluate 15-20 use cases across six dimensions. Technical assessments of data sources, infrastructure, and analytics capabilities formed the foundation for designing a five-layer future-state architecture with vendor recommendations and gap remediation plans, culminating in an 18-36 month phased implementation roadmap.
Impact:
The study enabled the client to:
- Enable data-driven decision making, creating a foundation for AI/ML and advanced analytics capabilities that accelerate innovation and market responsiveness
- Drive operational efficiency gains through automated processes and systematic data quality improvements, reducing operational costs by 20-30% while establishing faster time-to-insight through self-service analytics capabilities
