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Discrepancies in output between new and old dashboards

Discrepancies in output results between the new and old dashboard

Summary: This article explains the reasons for discrepancies in output results, particularly for lost production and downtime, between the new and old dashboards.

Reasons for discrepancies

  1. Calculation logic changes:

    • The new dashboard employs updated calculation logic compared to the old dashboard. This includes changes in how data is aggregated and categorized, which can lead to differences in reported results.

  2. Use of percentiles:

    • The old dashboard primarily utilized average values for calculations, while the new dashboard allows users to view values based on selected percentiles. This shift can result in different outputs for similar data points.

  3. Data aggregation methods:

    • The new dashboard may aggregate lost production and downtime differently, such as by categorizing losses based on adverse events or activity types. This can introduce variations in the reported figures when compared to the old dashboard.

  4. Validation processes:

    • The new dashboard may calculate similar data points in different parts of the code for validation purposes, which can also contribute to discrepancies in results.

  5. Specific project variations:

    • For specific projects, such as "IBR case-2_minor adjust," the differences in lost production values are attributed to the updated logic and data aggregation methods used in the new dashboard.

Conclusion

Discrepancies between the new and old dashboards arise from changes in calculation logic, the use of percentiles, and different data aggregation methods. Understanding these factors can help users interpret the results more consistently and accurately in the new dashboard.