Ask someone who took the GMAT before 2024 what "Integrated Reasoning" was, and you'll usually get a shrug — it existed, it was scored separately, and it barely factored into how anyone thought about their overall GMAT score.
Data Insights, its replacement in the current GMAT Focus Edition, is a different story entirely. It now counts equally toward your total score, alongside Quant and Verbal — one-third of your outcome, not an afterthought. And because it's still relatively new, it's the section most Indian test-takers underprepare for, simply because there's less legacy material and fewer "solved" strategies floating around compared to Quant and Verbal.
Here's a complete breakdown.
Data Insights at a Glance
- 20 questions, 45 minutes
- Counts equally toward your Total Score alongside Quant and Verbal
- Tests your ability to interpret, synthesize, and reason through data presented in multiple formats — tables, graphs, written passages, and mixed sources together
- An on-screen calculator is available for the entire section — notably, the only section of the GMAT where this is true, since Quant doesn't allow one
That last point is worth sitting with for a moment. GMAC isn't testing your raw arithmetic here — you have a calculator for that. What's actually being measured is whether you can read cluttered, sometimes deliberately messy information and reason your way to a correct conclusion, which is a much closer simulation of real analytical work than pure calculation speed.
The Five Question Types
1. Data Sufficiency
The same core logic as Quant's Data Sufficiency, applied to more data-flavored scenarios: you're given a question and two statements, and you decide whether each statement (alone, together, or not at all) provides enough information to answer the question — without necessarily solving it fully. The skill being tested is recognizing sufficiency, not computing the actual answer.
2. Multi-Source Reasoning
You're presented with information spread across two or three tabs — a mix of written passages, tables, and charts — and asked to synthesize across all of them to answer a set of related questions. The challenge here is rarely any individual tab; it's tracking and cross-referencing information across sources under time pressure.
3. Table Analysis
You get a sortable, spreadsheet-style table and must answer questions involving ratios, proportions, statistics, or conditional logic, often by actively re-sorting the table using an on-screen interface. Genuinely practical Excel-adjacent skills — filtering, sorting, scanning for a specific condition — translate directly here.
4. Graphics Interpretation
Fill-in-the-blank questions based on bar graphs, line graphs, scatterplots, and bubble charts. You typically select from dropdown options to complete statements about the data shown. Misreading axes, scales, or units is the most common (and avoidable) source of errors here.
5. Two-Part Analysis
Problems involving two related unknowns that you solve together — for example, identifying two values that jointly satisfy a set of conditions. These can resemble either quant-style or verbal-style reasoning depending on the specific question, which makes them harder to pattern-match than the other four types.
Why This Section Trips Up Strong Quant and Verbal Students
A common pattern among Indian test-takers: strong scorers in Quant and Verbal individually sometimes underperform in Data Insights relative to their other sections. A few reasons this happens:
- It's a hybrid skill, blending quantitative reasoning, reading comprehension, and logical inference in a single question — you can't lean entirely on either your "math brain" or your "verbal brain"
- The interface itself is a variable. Sorting tables, navigating tabs, and reading dropdown-based answer formats takes some getting used to, and unfamiliarity with the interface costs real time on test day if you haven't practiced with realistic mock formats
- There's simply less legacy prep material. Because this section didn't exist in its current form before 2024, there's a smaller universe of practice questions and strategy guides compared to the decades of material built up around Quant and Verbal
How to Prepare for Data Insights
Practice with the actual interface, not just the content. Since sorting tables and navigating multi-tab sources is part of the skill being tested, practicing exclusively from a PDF or book — without ever using an interactive, GMAT-style interface — leaves a real gap. Prioritize official or high-fidelity practice tools that replicate the actual on-screen experience.
Get comfortable with the calculator, deliberately. Because it's available throughout this section (unlike Quant), practice using it efficiently rather than defaulting to mental math out of habit built from Quant prep.
Treat each question type as a distinct skill, not one blended "Data Insights" category. Table Analysis and Graphics Interpretation reward careful, almost mechanical reading; Multi-Source Reasoning and Two-Part Analysis reward synthesis and logical inference. Drilling them separately, rather than mixing them randomly, helps you recognize patterns faster on test day.
Watch your time allocation closely. With 20 questions in 45 minutes, you're working with roughly 2.25 minutes per question on average — but Multi-Source Reasoning questions (which often have multiple sub-questions tied to the same source material) can eat disproportionate time if you're not careful. Practice pacing specifically for this section rather than assuming your Quant or Verbal pacing instincts will transfer directly.
Review official retired questions specifically for this section. Since Data Insights is comparatively new, official GMAC material (through the Official Guide Focus Edition) is disproportionately valuable here compared to third-party approximations, which sometimes don't fully capture the exact interface and question logic. See our guide on which GMAT book is the best for specific recommendations.
How Data Insights Fits Into Your Overall Score
Because Data Insights is weighted equally with Quant and Verbal in your Total Score calculation, treating it as a lower priority — a common instinct, since it feels less familiar than the other two sections — can quietly cap your overall score even if Quant and Verbal are strong. For the full mechanics of how section performance converts into your 205–805 Total Score, see how the GMAT score is calculated, and for how this section fits into the complete syllabus, see our full GMAT syllabus breakdown.
Data Insights is the section most self-study plans shortchange — and it's a third of your score.
Global Creed's mentors build dedicated Data Insights practice into every study plan, with mocks that replicate the real interface, not just the content.