Exams Know-how

# GMAT Data Insights - A Complete Guide

Yocket Editorial Team
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Are you planning to apply to a top business school abroad? GMAT is the global entrance test for MBA admissions, with over 7000 programs accepting GMAT scores. But are you aware of the new GMAT Focus Edition, an upgraded version of the standard GMAT exam? This updated GMAT version has a new section called Data Insights. It tests the candidate’s ability to interpret and analyze different data types and skills crucial in today’s data-driven business environment.

With the introduction of the new section, you might be worried about the question types asked in this section, the duration of the section, the syllabus for this section, and many more. This blog will help you understand the data insights section of GMAT in detail.

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## Overview of Data Insights Section

The GMAT Data Insights (DI) section is a new name for combining Integrated Reasoning and Data Sufficiency elements from the Quantitative Reasoning section. This section merges these components into one cohesive part known as Data Insights.

The Data Insights section includes five question types: Data Sufficiency, Graphics Interpretation, Table Analysis, Two-Part Analysis, and Multi-Source Reasoning. These questions evaluate various skills, including quantitative reasoning, reading comprehension, and critical reasoning.

Data Sufficiency questions mirror those in the traditional Quant section of the GMAT. Graphics Interpretation, Table Analysis, Two-Part Analysis, and Multi-Source Reasoning resemble questions from the Integrated Reasoning section. However, the Data Insights section advances by integrating these question types into one comprehensive section that significantly impacts the overall score.

• Data Sufficiency questions focus on assessing quantitative reasoning and data adequacy.
• Graphics Interpretation questions evaluate the ability to read and infer information from graphical data.
• Table Analysis questions test the ability to extract relevant information from sortable tables.
• Two-part analysis questions explore problem-solving skills through interconnected questions.
• Multi-Source Reasoning questions assess the ability to integrate information from multiple sources.

## Importance of Data Insights in the New GMAT Structure

The Data Insights section is a core component of the GMAT, reflecting the growing significance of data literacy and analytics in the business sector.

This section evaluates a candidate’s ability to interpret and analyze different types of data, skills that are crucial in today’s data-driven business environment. By reflecting the increasing prevalence of data-centric roles in the industry and the focus on data-intensive subjects in business schools, the Data Insights section ensures the GMAT stays relevant to current business needs. Therefore, excelling in this section is vital for candidates to set themselves apart and show their readiness for data-driven business education and careers.

In summary, the Data Insights section is not just an addition to the GMAT but is a strategic response to the changing demands of the business world.

GMAT Quant Updated Syllabus for 2024

## Data Insights Composition on the Test

In the GMAT Focus edition, the Data Insights section includes various components with specific weights. The below table shows the weightage of each section.

 Data Insights Component Weightage Graphics Interpretation 20% - 30% Multi-Source Reasoning 10% - 20% Table Analysis 10% - 20% Two-Part Analysis 10% - 20% Data Sufficiency Analysis 20% - 40%

## Skills Tested in the Data Insight Section

The GMAT Data Insights section evaluates a diverse range of skills:

 Skills What does it evaluate? Data Interpretation and Analysis This assesses your ability to understand, interpret, and analyze complex information from various sources. Information Synthesis This skill measures your ability to integrate different data points to form a comprehensive understanding and devise the best problem-solving approach. Analytical Reasoning This evaluates your capacity to scrutinize information and arguments, drawing logical conclusions from the data. Quantitative Reasoning Although it doesn't require complex calculations, quantitative reasoning is essential for understanding and applying numerical aspects of data. Critical Thinking This is tested through questions that require evaluating arguments or claims based on the provided data, ensuring you can critically assess information and make sound judgments. Decision Making This skill involves applying all the above abilities to make informed decisions or choices in a complex, data-rich context. Comprehension This skill is vital for effectively integrating textual and visual data.

## Data Insights - Question Type

The Data Insights section features 20 questions across five distinct types, each testing different data interpretation and analysis.

### 1) Data Sufficiency Questions (DS)

These questions present a mathematical problem with two statements labeled (1) and (2). Instead of solving the problem, your goal is to determine if the information in the statements is sufficient to solve it individually or together. DS questions evaluate your ability to identify essential information and understand the concepts of "sufficient" and "insufficient" data.

### 2) Graphics Interpretation Questions (GI)

These questions involve interpreting and analyzing data presented in graphs or visual displays, such as scatter plots, x-y graphs, bar graphs, pie charts, or statistical curves. GIQs test your ability to extract relevant information, identify patterns and relationships, and apply these insights to answer related questions.

### 3) Table Analysis Questions (TA)

You are given a sortable data table and a series of statements for these questions. Based on the information in the table you need to determine whether each statement is true or false. TAQs assess your ability to analyze and synthesize table data, identify trends or patterns, and make accurate statements.

### 4) Two-Part Analysis Questions (TPA)

These questions present a problem with two related parts. Your task is to find the correct answers to both parts, which are interconnected. The questions can be mathematical or verbal, requiring logical reasoning, text analysis, or quantitative problem-solving skills.

### 5) Multi-Source Reasoning Questions (MSR)

MSR questions provide data from multiple sources, such as short texts, charts, or tables. These questions require you to analyze, interpret, and integrate information from various sources to solve complex problems. They test your ability to navigate multifaceted information and decide based on that data.

## Data Insight Section Strategies - Component-wise

### Data Sufficiency Questions

 Determine if the problem allows for only one value or a range of values. Your goal is to establish if you have enough data to solve the problem. Avoid making unwarranted assumptions about geometric figures, as they are not necessarily drawn to scale.

### Multi-Source Reasoning Questions

 Refrain from being familiar with the material; all necessary information is provided in the question. Carefully analyze each data source, as questions require a detailed understanding of the presented information. Text passages often build sequentially, so note how each statement contributes to the main idea. Data may be presented in various formats, such as tables, graphs, diagrams, or charts. Read questions thoroughly to understand what is being asked. Some questions may require identifying discrepancies among data sources, drawing inferences, or determining the relevance of specific data sources. Base your answer choices strictly on the provided data and do not rely on your prior knowledge of the subject matter.

### Table Analysis Questions

 Examine the table and accompanying text to understand the type of information provided. Read the question carefully to determine the required data analysis and review the answer choices. Evaluate each answer statement based on the specified condition (e.g., yes or no, true or false). Focus on whether the condition has been met.

### Graphics Interpretation Questions

 Familiarize yourself with the data in the graphic. Note scales, marked values, and labels, and be aware of any unit discrepancies between the graph and the text. Read any accompanying text thoroughly, as it may contain data not included in the graphic but necessary to answer the question. Ensure you understand what the problem requires you to do. Interpret and integrate data, identify relationships, and draw inferences. Review all options in the drop-down menu, as they provide additional information about your task. Choose the option that best completes the statement, ensuring it is the most accurate or logical choice among seemingly plausible options.

### Two-Part Analysis Questions

 Read the information carefully, including quantitative, verbal, or a mix of both content types. The material is designed to be challenging; rely solely on the data provided in the question. Precisely determine what the question asks. Pay attention to the tasks described as column headings may need more detailed instructions. Review all answer choices before making a final decision. Determine if the tasks are dependent or independent; some questions require two independent tasks, while others involve two dependent parts. Remember that the same answer choice might be correct for both columns, fulfilling the conditions for both response columns.

## Strategies for Improving Data Insights Score

Begin by taking an official mock test to gauge your relative percentiles in Data Sufficiency, Graphics Interpretation, Table Analysis, Two-Part Analysis, and Multi-Source Reasoning. This initial assessment will help you understand your current abilities.

2. Create a Personalized Study Plan (PSP)

Develop a PSP that provides reliable estimates for both the sequence of study and the time required to excel. Align your target DI percentiles with your personal needs and goals to create a precise roadmap to success.

3. Targeted Preparation

Focus your initial preparations on areas where you are below the 30th percentile. Start with Table Analysis and Graphic Interpretation, then move on to Two-Part Analysis and MSR. Emphasize building a strong foundation in these areas.

After completing each section, work on solidifying your skills. Aim for 55 percent accuracy in difficult questions if your target is the 70th percentile. If your goal is the 90th percentile or higher, strive for 70 percent accuracy. For more detailed guidance, refer to this Study Plan article.

5. Practice with Integrated Tests

Regularly take practice tests to see how well you perform in an integrated manner. This will help ensure your continuous alignment with your overall strategy.

Use detailed analytics to identify weak areas that need more focus. This will allow you to fine-tune your efforts effectively.

7. Refine and Review

Continue practicing and reviewing concepts in your identified weak areas to achieve your target DI score. This will help reinforce your understanding and boost your confidence.

## Conclusion

To stand out in today’s data-driven business world it is important to master the GMAT Focus Edition Data Insights. This section challenges you to showcase your ability to navigate the data-driven landscape of modern business, interpret complex information, synthesize insights, and make informed decisions. You can excel in this vital section and enhance your overall GMAT performance by honing your data interpretation, critical thinking, and decision-making skills. Start preparing today, and set yourself on the path to achieving your business school dreams!

FAQ's on GMAT Data Insights Guide

### How can I effectively prepare for the Data Insights section?

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