Introduction
Inovalon's Clinical Data Interchange (CDI) platform has experienced a 15% drop in data processing speed over the past month, raising concerns about its performance and efficiency. This issue requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this problem systematically, considering various factors that could contribute to the slowdown and developing a comprehensive plan to address it.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Changes in data characteristics could explain the processing speed drop. Expected answer: Yes, there's been a 20% increase in data volume. Impact on approach: If confirmed, we'd focus on scalability and optimization solutions.
Why it matters: Recent changes could introduce performance issues. Expected answer: A minor security patch was applied two weeks ago. Impact on approach: If confirmed, we'd investigate the patch's impact and potential rollback options.
Why it matters: Changes in usage patterns could strain the system. Expected answer: No significant changes in user behavior noted. Impact on approach: If confirmed, we'd shift focus to internal system issues rather than user-related factors.
Why it matters: Network issues could impact data processing speed. Expected answer: No major network issues reported. Impact on approach: If confirmed, we'd focus on internal system optimizations rather than network-related solutions.
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