Saudi Arabia

Abdallah S.

Create a 4th column (Equality class), classifying the equality score into 3 types:
- Fair (+-10)
- Unfair (< -10 AND > 10)
- Highly Discriminative (< -20 AND > 20)

تحليل بيانات ومؤشرات الأداء على Excel باحترافية

When analyzing churn, it's important to recognize that customer drop-off can occur for different reasons. Some customers may leave due to real issues, while others may leave based on misunderstandings or incorrect perceptions.

Additionally, we evaluate the satisfaction levels of customers who did not churn. If their satisfaction score is low, it could indicate a significant underlying problem that may lead to future churn if not addressed.

تحليل بيانات ومؤشرات الأداء على Power BI باحترافية

involved analyzing downtime data across multiple factories and device types using Tableau Public. The dataset named daikibo-telemetry-data included telemetry logs related to equipment health and operational status from various global factory locations.

- The objective was to visualize and compare the total

By creating clear and interactive dashboards, the project aimed to:
- Identify factories with the highest equipment downtime.
- Highlight which device types contribute most to inefficiencies.
- Enable stakeholders to prioritize maintenance or replacements.

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