Introduction
To improve BNY's Asset Servicing solutions and provide clients with more real-time data and analytics capabilities, we need to focus on enhancing the existing infrastructure, leveraging cutting-edge technologies, and addressing key pain points in the current system. I'll outline a strategic approach to tackle this challenge, starting with clarifying questions, then moving through user segmentation, pain point analysis, solution generation, and finally, evaluation and measurement.
Step 1
Clarifying Questions
Why it matters: This helps us understand the baseline we're working from and identify areas for improvement. Expected answer: The system currently provides daily or end-of-day reporting on asset performance, valuation, and risk metrics. Impact on approach: If the system is already near real-time, we'd focus on enhancing analytics. If it's primarily batch-based, we'd prioritize real-time data infrastructure.
Why it matters: This helps us prioritize which aspects of real-time data and analytics to focus on. Expected answer: Clients frequently request more frequent updates on portfolio performance and risk exposure. Impact on approach: We'd prioritize real-time updates for these specific metrics and build analytics tools around them.
Why it matters: This helps us understand the market position and set appropriate goals for improvement. Expected answer: Some competitors offer more real-time features, but BNY has stronger historical data analysis. Impact on approach: We'd focus on bridging the real-time gap while leveraging BNY's historical data strengths.
Why it matters: Ensures our solution aligns with overall company direction. Expected answer: BNY aims to be a leader in digital transformation of asset servicing, with real-time capabilities as a key differentiator. Impact on approach: We'd emphasize innovative, forward-looking solutions that position BNY as a technology leader in the space.
At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.
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