Introduction
The increased error rate in Strata Decision Technology's Continuous Improvement solution's data integration process this month is a critical issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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: Recent changes often correlate with performance issues. Expected answer: Yes, there was a recent update. Impact on approach: If yes, we'll focus on the changes; if no, we'll look at other factors.
Why it matters: Increased data load can strain existing systems. Expected answer: Data volume has increased by 20%. Impact on approach: If yes, we'll investigate scalability; if no, we'll look at other potential causes.
Why it matters: Pattern recognition can help pinpoint the problem area. Expected answer: Errors are primarily in financial data integration. Impact on approach: If patterns exist, we'll focus on those areas; if not, we'll take a broader approach.
Why it matters: External system changes can impact integration processes. Expected answer: A major ERP system was recently upgraded. Impact on approach: If yes, we'll investigate the interface; if no, we'll focus more on internal factors.
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