GMAT Data Insights Section: A Complete Guide

Quick Answer

Key Takeaways

• Data Insights has 20 questions in 45 minutes, scored 60–90 within the GMAT's 205–805 range.
• Five question types make up the section: Data Sufficiency, Multi-Source Reasoning, Table Analysis, Graphics Interpretation, and Two-Part Analysis.
• GMAC launched Data Insights on November 7, 2023, replacing Integrated Reasoning, and dropped the "Focus Edition" label from the exam's name on July 1, 2024.
• An unanswered question costs you 30 × (the percentage of the section left blank); leaving even one blank is measurably worse than a wild guess.
• The mean score for Data Insights, as seen from the GMAC-released information about the test takers, lies between 74 and 75 (the common number reported is 74.89).
• The majority of MBA programs in the UAE do not reveal a Data Insights cut-off score but require an applicant to take a GMAT test anyway.

Introduction

You've probably heard that Data Insights is the section nobody quite knows how to prep for. That reputation isn't bad. It's just old advice. Data Insights checks how you read tables, charts, and mixed data sources under a tight clock, and it now carries the same weight as Quant and Verbal. For Indian test-takers coming from a CAT or engineering-entrance background, some of it will click fast. Multi-Source Reasoning usually won't. This guide, from Study From UAE, covers the five question types, the real scoring mechanics, what UAE business schools actually expect, and a study plan that won't waste your first two weeks.

Not sure how your GMAT score stacks up for a UAE MBA? Book a free 20-minute call with a Study From UAE counsellor and get a straight read on where you stand.

What Is the GMAT Data Insights Section?

Data Insights measures your ability to read data from tables, graphs, and multiple sources, then use it to make a decision. It's one of three equally scored sections on the GMAT (still occasionally called the GMAT Focus Edition, a name GMAC officially retired on July 1, 2024, when it reverted to the simple "GMAT" name now that only one version of the exam exists).

It replaced Integrated Reasoning when GMAC launched the redesigned exam in November 2023. Integrated Reasoning was scored separately on a 1–8 scale that admissions committees barely looked at; Data Insights is a full third of your score instead. Data Sufficiency also moved here from Quant, which is why you'll find it in this guide rather than next to algebra problems.

You get 20 questions in 45 minutes, about two minutes fifteen seconds each on average, plus an on-screen calculator that Quant doesn't offer. GMAC doesn't fix how many questions come from each format on a given form, so the mix varies slightly between attempts. If your prep material predates 2023, it's describing a retired exam. If you're also sorting out registration costs, our GMAT exam fees page has current numbers.

The 5 GMAT Data Insights Question Types

Each DI problem is classified in one of five types, and although the GMAC does not specify exact distribution for the test, generally it is in the following range:

• Data Sufficiency: 20–40% of the section
• Graphics Interpretation: 20–30%
• Table Analysis: 15–20%
• Two-Part Analysis: 10–20%
• Multi-Source Reasoning: 10–20%

Note: These are typical ranges, not a guarantee; your actual form may weight a type differently.

Data Sufficiency

It is not about working out an answer. The task is to determine if the problem can be solved. In each problem, two statements are given. You need to make one choice out of the five available options every time. This moved here from the old Quant section, so classic-GMAT veterans will recognise it fast. The trap isn't the math. It's solving anyway, out of instinct, when "sufficient" was all you needed.

How Data Insights Is Scored

Each section, Quant, Verbal, and Data Insights, is scored on its own 60–90 scale, combining into a total between 205 and 805, always ending in 5. All three carry equal weight now; on the retired exam, only Quant and Verbal fed the total. The section is also computer-adaptive, so no two test-takers see the same set of questions, and multi-part questions (most of MSR, Table Analysis, and Two-Part Analysis) are all-or-nothing: get three of four table statements right and the question still scores zero.

Here's the part that trips people up. There's no penalty for a wrong answer, but leaving a question blank does cost you: GMAC subtracts 30 × (the percentage of the section left unanswered) from your earned score. Leave one of 20 DI questions blank, 5% of the section, and the penalty alone runs about 1.5 points, enough to drop an 80 to a 78 or 79. Leave four or five blank near the end, and that penalty can erase most of what you built earlier. A rushed, random guess always beats a blank.

What counts as a "good" score depends on all three sections together, not DI alone. The widely used formula prep companies have reverse-engineered (GMAC doesn't publish its exact algorithm) is Total = (Quant + Verbal + DI − 180) × 20/3 + 205, rounded to the nearest 10 ending in 5. Score 82 across the board, and that's 645. Therefore, a good DI score cannot bail out a poor Quant or Verbal score, and vice versa; concentrate on getting maximum marks in the one section where this is feasible. As reference, the GMAC-published test-taker statistics reveal the average score for the Data Insights section as 74-75, specifically 74.89, although according to the GMAC database, the average score is 74.41- take it as a variable number rather than a constant. In any case, the high 70s are average scores. For the fuller breakdown of how all three sections combine, our GMAT exam pattern and syllabus page walks through it in more detail.

What DI Score Do UAE MBA Programmes Actually Expect?

This is the question most generic GMAT guides skip, and it matters if you're applying anywhere in the UAE. Most UAE business schools don't publish a fixed Data Insights cutoff the way some Indian programmes publish sectional minimums. The IIM Ahmedabad Dubai campus has, for its One Year MBA program, a valid GMAT/GRE score which should be taken within 5 years, four years’ worth of work experience, and an age of at least 25, without stating any cut-off scores (IIM Ahmedabad Dubai admissions). The other campuses in the UAE, especially the ones that have Global MBA programs, usually look at the GMAT scores as just part of the whole package.

Chasing one magic DI figure matters less here than it would for a school with a hard cutoff. A balanced total, with Quant, Verbal, and DI all pulling roughly equal weight, carries more signal than a lopsided profile with one standout section. For a school-by-school comparison of how UAE universities actually read the score, our GMAT hub tracks it.

Time Management Across the Five Types

Twenty questions, 45 minutes, but the types don't take equal time. MSR runs longest, at 2.5–3.5 minutes, since tab-switching and cross-checking simply take more time than a single table or graph.

Move fast through DS and GI, and save a bigger cushion for MSR and Two-Part questions later on. Given the unanswered-question penalty above, that pacing math isn't optional.

GMAT Data Insights Example Question

This is an original, illustrative problem, not one of GMAC's retired questions, meant only to show the reasoning style the type demands.

Data Sufficiency (illustrative): Is x > 10? (1) x² > 100. (2) x > 5.

Statement 1 alone isn't enough: x could be 15 (yes) or −15 (no). Statement 2 alone isn't enough either: x could be 6 (no) or 60 (yes). Combined, only the branch where x > 10 survives, since a number below −10 can't also be greater than 5. Both statements together are sufficient. Answer (C). You never needed the exact value of x, just the point at which the question becomes answerable.

Where to Find Real GMAT Data Insights Practice Questions

Unofficial question banks vary a lot in accuracy for this section, since Data Insights is still fairly new. Official material stays the most reliable benchmark.

The GMAT Official Guide Data Insights Review gives focused practice not found in the main Official Guide. The 2026–27 edition runs 304 pages, published June 3, 2026; the earlier 2024–25 edition ran 288 pages at ₹1,199 through Wiley India, so check the live listing before you buy since pricing shifts. 

Common Mistakes in the Data Insights Section

A few mistakes show up again and again, and most of them are habits, not knowledge gaps:

• Solving Data Sufficiency all the way through instead of stopping once you know whether the statements are sufficient. This is the single most time-costly habit in the section.
• Jumping into Multi-Source Reasoning without skimming every tab first, which leads to missed data and answers built on an incomplete picture.
• Assuming a pattern holds across a whole table. The first three rows supporting a statement don't mean the fourth one will.
• Ignoring units and scales on Graphics Interpretation charts. A y-axis in thousands instead of millions changes every answer that follows.
• Skipping answers because you’re trying to “save time” at the last part of the section, where the “no answer penalty” is likely to cost more than guessing.

How to Improve Your GMAT Data Insights Score

Begin with a diagnostic test, not a textbook. One practice test prior to opening a study guide will show you how Data Insights relates to Quant and Verbal. From there, a workable rhythm looks like this:

1. Study one question type per session, rather than mixing all five early on.
2. Do 10–15 untimed questions per type in week one. Accuracy first, speed later.
3. Introduce timed practice from week two, once the mechanics feel familiar.
4. Keep an error log. Was it a misread, a logic gap, or a clock problem? Each needs a different fix.
5. Retake a full practice exam every three to four weeks to confirm your score is actually moving.

A six-week sprint suits someone who already knows the format well; most applicants building core skills from scratch should budget four to six weeks specifically on Data Insights, on top of general GMAT prep. Our GMAT preparation tips and resources page has a fuller week-by-week structure alongside Quant and Verbal planning.

GMAT Data Insights for Indian Students: What's Different

Indian quant training helps here more than it hurts. Data Sufficiency and Table Analysis feel manageable fast, since both reward the numerical precision CAT and engineering-entrance prep already builds. Multi-Source Reasoning is the outlier: very few Indian assessment formats ask you to hold information from one document while applying it to a second, unrelated one, and that skill takes deliberate practice, not just more math review.

GMAT section requirements vary a lot by UAE school; some ask for it outright, others treat it as optional alongside GRE. This is exactly the school-by-school detail Study From UAE was built to sort through. Our guide to top MBA universities in Dubai for Indian students breaks down which programmes lean hardest on the test.

Conclusion

Data Insights isn't the section to leave for the last two weeks. It's worth as much as Quant or Verbal now, and treating it as an afterthought is one of the most common mistakes among GMAT applicants. Run the diagnostic first, then build study time around whichever type actually trips you up- MSR for most people- and lean on official GMAC material over unofficial question banks. Once you have a realistic DI number, check it against your shortlist rather than a generic benchmark. Our Study From UAE's ROI calculator and planning tools can map that score against the actual cost of the programmes you're considering.