Historical data clashes with current BI findings. How do you navigate this analytical conundrum?
When historical data clashes with current Business Intelligence (BI) findings, it can be challenging to determine the root cause and take corrective action. Here’s how to address this analytical conundrum:
How do you handle conflicting data in your BI projects? Share your strategies.
Historical data clashes with current BI findings. How do you navigate this analytical conundrum?
When historical data clashes with current Business Intelligence (BI) findings, it can be challenging to determine the root cause and take corrective action. Here’s how to address this analytical conundrum:
How do you handle conflicting data in your BI projects? Share your strategies.
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🔍Verify data accuracy: Cross-check historical and current data for errors or inconsistencies. 🔄Analyze methodology changes: Review if data collection or analysis methods evolved over time. 📊Examine external factors: Identify market or operational shifts that could influence trends. 🤝Consult stakeholders: Collaborate with teams to gather context and resolve discrepancies. 📈Use trend analysis: Compare patterns to assess whether anomalies are significant or explainable. 🚀Develop a unified narrative: Communicate findings clearly to maintain trust in insights.