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Constituents of Data Interpretation (DI)

Data Interpretation is primarily aimed at assessing the candidate’s ability to analyse the given data, arrive at meaningful conclusions and to take appropriate decisions. In many ways, this section truly reflects a business situation; where one is required to take a decision on the basis of available information and future trends.

In any DI question, students will be required to go through the data-set and make necessary relationships between “what is given?” and “what is asked?” These questions simulate the kinds of detailed analyses of relationships that management students must perform in solving problems under strict time restrictions.

Each DI question contains three separate parts -
  1. Data-set,
  2. Explanations and restrictions given for the data and
  3. Question/s.

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