TL;DR: Data Insights is the section that separates the GMAT Focus Edition from every other standardized test. It throws five distinct question types at you in 45 minutes, mixing chart reading, logical reasoning, and data analysis in ways no other exam does. The students who score well are the ones who recognize each question type instantly and apply a specific protocol for each one.
Data Insights gives you 20 questions in 45 minutes. That is roughly 2 minutes and 15 seconds per question. The section is scored on a 60-90 scale, weighted equally with Quant and Verbal in your total score (205-805). It is question-level adaptive, meaning the difficulty of each question adjusts based on how you handled the previous ones. You can bookmark questions and edit up to 3 answers per section if time remains.
This section replaced the old Integrated Reasoning section and absorbed Data Sufficiency from the legacy Quant section. If you studied for the old GMAT, the format will feel unfamiliar. If you are coming from the GRE, nothing on that test prepares you for this.
Why Data Insights Matters More Than You Think
Most test-takers pour their study hours into Quant and Verbal because those feel familiar. Data Insights gets treated as an afterthought. That is a mistake.
Each section contributes equally to your total score. A 75 in Data Insights pulls your total up just as much as a 75 in Quant. But because fewer people prepare seriously for DI, the score distribution is more compressed. Targeted preparation can move your DI score faster than grinding Quant problems you already half-know.
The other reason DI matters: admissions committees see your section scores. A weak DI score signals that you did not prepare thoroughly, especially since the section tests exactly the kind of reasoning you will use in business school cases and data-driven decision-making.
Multi-Source Reasoning
Multi-Source Reasoning questions give you two or three tabs of information. Each tab might contain a text passage, a table, a chart, or a set of rules. The questions require you to pull details from multiple tabs and synthesize them into a single answer.
The biggest mistake is trying to memorize all the information before reading the questions. You cannot hold three tabs of data in working memory while answering a precise question. Instead, skim each tab for 20-30 seconds to understand what type of information lives where. Note which tab has the numbers, which has the rules, and which has the context.
Then read the question and go back to the specific tabs you need. Treat the tabs like reference documents, not reading passages. You are looking up information, not absorbing a story.
Watch for contradictions between tabs. GMAC designs these questions so that one tab might state a general rule while another tab contains an exception. The correct answer often hinges on whether you caught the exception.
Data Sufficiency
Data Sufficiency moved into Data Insights from the old Quant section. The format is unchanged: you get a question and two statements. Your job is to determine whether the statements provide enough information to answer the question. The five answer choices are always the same.
- Statement 1 alone is sufficient, but Statement 2 alone is not
- Statement 2 alone is sufficient, but Statement 1 alone is not
- Both statements together are sufficient, but neither alone is sufficient
- Each statement alone is sufficient
- Statements 1 and 2 together are not sufficient
The critical discipline here is that you are not solving the problem. You are deciding whether the problem is solvable. Students who actually calculate the answer waste time and introduce errors. Once you determine that a statement gives you enough information to reach a single definitive answer, stop. You do not need to find that answer.
Start by evaluating Statement 1 in isolation. Ignore Statement 2 entirely. Decide: sufficient or not sufficient. Then evaluate Statement 2 in isolation. Ignore Statement 1 entirely. Only after evaluating each statement alone should you consider them together.
The most common trap is assuming that more information always helps. Sometimes Statement 2 adds a constraint that, combined with Statement 1, still leaves the question unanswerable because the new constraint introduces a second variable.
Graphics Interpretation
Graphics Interpretation presents a graph or chart and asks you to complete statements by selecting values from dropdown menus. The graphs can be scatter plots, line charts, bar charts, bubble charts, or anything else GMAC can render on screen.
Before reading the statement, spend 30 seconds reading the graph. Identify both axes, note any units or multipliers, and look for the overall pattern. Is it trending up, down, or flat? Are there outliers?
The dropdown answers are typically numerical values or comparative terms ("greater than," "less than," "approximately equal to"). Because you are choosing from a fixed set of options, estimation works well here. You rarely need to calculate an exact value. Read the graph carefully enough to eliminate wrong options, and the correct answer will be the only one that fits.
Pay attention to the axis scale. A graph labeled "Revenue (in thousands)" means the value at 50 represents 50,000. This is where careless errors happen, not in the interpretation itself.
Two-Part Analysis
Two-Part Analysis shows you a problem and a table with two columns. You need to select one answer in each column, and both selections must be correct for the question to count. There is no partial credit.
These questions can be algebraic (solve a system of two equations), logical (identify two conditions that satisfy a constraint), or verbal (select two statements that strengthen or weaken an argument). The format is consistent even though the content varies.
The key strategy: look for the component that is more constrained. In a system of two equations, one equation might lock in a single variable. In a logic problem, one condition might have only two possible values. Solve the more constrained component first, then use that answer to narrow the second.
Because both parts must be correct, do not submit until you have verified that your two selections work together. Test them as a pair. Students who check each column independently sometimes pick two answers that are individually plausible but incompatible.
Table Analysis
Table Analysis gives you a sortable spreadsheet and asks you to evaluate three to five statements as true or false (or yes or no). You need to get all statements correct for the question to score.
The table is sortable by any column. This is your primary tool. Before reading the statements, click through the columns to sort the data and get a sense of the range, the extremes, and the distribution. Note the highest and lowest values in each column.
When you read each statement, sort the table by the column most relevant to that statement. If the statement says "the company with the highest revenue also had the lowest profit margin," sort by revenue first to find the top company, then check its profit margin. Do not try to scan an unsorted table looking for answers.
Sorting is free. It costs you no points and almost no time. Use it on every statement.
The trap in Table Analysis is overthinking. The statements are designed to be answerable from the data in the table. If you find yourself doing multi-step calculations or making assumptions beyond what the table shows, you are probably misreading the statement.
Pacing the Section
With 20 questions in 45 minutes, you have about 2:15 per question. But not all question types take the same amount of time.
- Data Sufficiency: 1:30-2:00 (fastest, since you are not solving)
- Graphics Interpretation: 1:30-2:00 (read the graph once, pick from dropdowns)
- Table Analysis: 2:00-2:30 (sorting and checking multiple statements)
- Two-Part Analysis: 2:00-2:30 (two components, verification step)
- Multi-Source Reasoning: 2:30-3:00 (multiple tabs, synthesis required)
Use the faster question types to bank time for the slower ones. If you finish a Data Sufficiency question in 90 seconds, that extra 45 seconds becomes available for a Multi-Source Reasoning question later.
The GMAT Focus Edition lets you bookmark questions and return to edit up to 3 answers per section. Use this on Multi-Source Reasoning questions where you are unsure. Flag it, move on, and come back with fresh eyes if time allows. Do not burn 4 minutes on a single question when three other questions are waiting.
Common Mistakes Across All Five Types
Reading the question stem too quickly is the most consistent source of errors. In Data Sufficiency, students miss a constraint in the question stem. In Table Analysis, they misread what the statement is actually claiming. In Multi-Source Reasoning, they answer based on one tab when the question requires two.
The fix is mechanical: read the question stem twice before engaging with the data. On the first read, understand what is being asked. On the second read, identify every constraint and condition. This takes 10-15 extra seconds and prevents the 2-minute recovery when you realize halfway through that you answered the wrong question.
Another common mistake is bringing assumptions from other test sections. Data Sufficiency rewards you for not solving. Table Analysis rewards you for sorting. Graphics Interpretation rewards estimation. Each question type has its own protocol, and applying the wrong one costs time and accuracy.
What to Do Next
- Take the official GMAT Focus practice exam on mba.com and note your DI score separately. This is your baseline.
- Categorize your errors by question type. If three of your five mistakes were on Multi-Source Reasoning, that is where your study time should go.
- Practice Data Sufficiency with a strict "do not solve" rule. If you catch yourself calculating the final answer, restart the question and focus only on sufficiency.
- Read our GMAT Focus Edition overview to understand how DI fits into the full test structure.
- Review GMAT pacing strategy for section-level time management across all three sections.
Data Insights is the section where preparation gives you the largest edge, because most of your competition will not prepare for it seriously. The GRE course is $25 per month with a free diagnostic if the GRE is worth considering for your profile. The playbook's test strategy module covers how Data Insights fits into your overall score strategy. If you want a structured approach to the GMAT and the rest of your deferred MBA application, coaching pairs you with someone who has been through the process and can help you build a score strategy that fits your full application timeline.