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How to Use Data Analytics to Improve Your Mock Test Scores?

How to Use Data Analytics to Improve Your Mock Test Scores?

How to Use Data Analytics to Improve Your Mock Test Scores? Mock tests are invaluable tools for bank exam preparation, but their true potential is unlocked when combined with data analytics. Analyzing your performance can provide actionable insights to help you refine your strategy, identify weaknesses, and achieve better results.

1. Understand the Importance of Data Analytics in Mock Tests

AspectBenefit of Analytics
Accuracy AnalysisPinpoints sections/topics needing improvement
Time Taken Per QuestionHelps optimize time allocation
Difficulty Level PerformanceHighlights issues with hard vs. easy questions

2. Use Oliveboard’s Mock Test Analytics

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3. Break Down Your Sectional Performance

SectionAttempted QuestionsAccuracyTime Spent
Quantitative Aptitude20/3570%25 mins
Reasoning Ability25/3080%22 mins
English Language22/3075%20 mins
General Awareness18/4045%10 mins

Insight: More time should be allocated to General Awareness revision.

4. Analyze Time Spent Per Question

5. Monitor Accuracy vs. Speed

CategoryCurrent PerformanceGoal
Accuracy75%>85%
Speed (questions/min)0.81.2

6. Focus on Low-Accuracy Topics

7. Compare Your Performance with Peers

8. Leverage Insights for Personalized Strategy

Example Strategy:

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9. Track Your Progress Over Time

Mock Test DateOverall ScoreQuant ScoreReasoning ScoreAccuracy
Dec 160/10020/3530/3070%
Dec 875/10025/3535/3080%
Dec 1585/10030/3540/3090%

10. Use Oliveboard’s Revision Tools

11. Don’t Ignore the Post-Test Analysis

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By integrating data analytics into your mock test preparation, you can systematically address your weaknesses, refine your strategy, and improve your chances of cracking the exam. Let Oliveboard’s advanced tools guide you on this journey!



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