GMAT Data Insights: Effective Strategies

Data Insights is the GMAT section with the most variety: 20 questions in 45 minutes, 5 question types — Data Sufficiency, Multi-Source Reasoning, Table Analysis, Graphics Interpretation, and Two-Part Analysis. It is the section candidates prepare for the least — and where the margin for improvement is highest. The calculator is available only in this section, but the real challenge is interpreting quickly.

Why Data Insights is the section that makes the difference

Data Insights counts for 33.3% of the total score but receives less than half the average preparation time. Going from 70 to 80 in DI is more accessible than gaining the same points in Quant, because the margin comes from format familiarity, not mathematical difficulty. It is the section that recruiters and business schools examine most closely.

Most candidates with a strong quantitative background reach 78–82 in Quant without too much effort. Pushing that score to 85+ requires disproportionate effort. In Data Insights, however, going from 70 to 80 is much more accessible — because the margin comes from familiarity with the formats, not mathematical difficulty.

Another reason to invest in DI: it is the section that recruiters and business schools look at most closely. Data literacy is the most sought-after competency in MBA programmes — and DI is how the GMAT tests it. For the full picture of all three sections, see the GMAT Focus Edition section details. If you want to understand how the DI score impacts admissions, read the article on how much GMAT you need for business school.

The five formats: what to expect and how to prepare

Data Insights presents five different question types: Data Sufficiency (evaluate if information is sufficient), Multi-Source Reasoning (synthesize from multiple sources), Table Analysis (interpret sortable tables), Graphics Interpretation (complete statements about graphs), and Two-Part Analysis (solve two variables together). Each format requires specific strategies.

Data Sufficiency

If you have never seen it, Data Sufficiency is the most counterintuitive format on the GMAT. You are not asked to solve a problem — you are asked whether you could solve it with the given information.

The structure: a question ("What is the value of x?") and two statements. Five answers, always the same:

• (A) Statement 1 alone is sufficient, Statement 2 is not
• (B) Statement 2 alone is sufficient, Statement 1 is not
• (C) Neither alone is sufficient, but together they are
• (D) Each alone is sufficient
• (E) Even together they are not sufficient

The most common mistake: solving the problem. You don't have to. You only need to determine if it could be solved. Those with a strong background in statistics and quantitative reasoning have an advantage, but Data Sufficiency logic must be practised separately. Sometimes the answer is "yes, they are sufficient" even if you haven't calculated the result — you just need to demonstrate that the information is sufficient to determine a unique value.

Practical strategy:

1. Read the question and ask yourself: "What do I need to answer?"
2. Look at Statement 1 alone. Sufficient? Yes/No.
3. Forget Statement 1. Look at Statement 2 alone. Sufficient? Yes/No.
4. If neither is sufficient alone, combine them.
5. Choose the answer.

Step 3 is crucial: you must evaluate the statements separately before combining them. The trap is unconsciously using information from Statement 1 when evaluating Statement 2.

Data Sufficiency was in the Quant section in the previous version of the test. For those preparing with outdated materials, note: the questions are the same, but they now fall under DI and contribute to a different score.

Multi-Source Reasoning

You are presented with 2–3 tabs containing different information: a text, a data table, an email, a graph. Questions ask you to synthesize information from multiple sources to answer.

The format is longer and more complex than the others — it takes time. But the math is simple. The difficulty is in mental organisation: you need to remember where you saw which information and connect it quickly.

Practical strategy:

• Invest 60–90 seconds reading all tabs before looking at the questions. It seems counterintuitive (seems like wasted time) but it speeds up everything else. Note mentally: "The table has numbers by year, the text explains exceptions, the email has conditions."
• Don't reread everything for each question. If you know where to look, you answer in 30 seconds. If you don't, rereading everything costs 90.
• Watch for negations. "Which of the following statements is NOT supported?" — the GMAT puts 4 true options and one false one. Check off the true ones one by one.

Table Analysis

A table with data (revenue by year, results by region, scores by student) and a series of true/false statements. You can sort the table by clicking on column headers.

Simple format, tricky timing. Tables have 8–15 rows and 5–8 columns. If you search for information by scanning row by row, you lose time.

Practical strategy:

• Read the statement first, then search the table. Not the other way around.
• Sort the table by the column relevant to the current statement. If they ask "does the company with the highest revenue also have the highest margin," sort by revenue, look at the first row, compare the margin.
• Watch for "all" and "none." Statements like "All companies with revenue > 10M have margin > 15%" require checking every row — a single counterexample makes it false.

Graphics Interpretation

A graph (bar, line, scatter, pie) with 2 statements to complete by choosing from a dropdown menu. Example: "The sector with the greatest growth between 2020 and 2024 is ___" (5 options in the menu).

Practical strategy:

• Read the graph title, axes, and legends before anything else. 30% of errors in this section come from confusing units or scales.
• Watch for graphs with dual Y-axes. The line uses one scale, the bars another. It is a classic GMAT trick.
• If the graph has a lot of data, focus only on what's relevant to the question. Don't try to understand "the whole graph" — it wastes time.

Two-Part Analysis

A problem with text + an answer table with two columns. You must choose the correct answer for both columns — the two parts are linked.

Typical example: "An investor divides 100,000 euros between two funds. Fund A returns 5%, Fund B returns 8%. The investor wants an overall return of 6.2%. How much is invested in each fund?"

Practical strategy:

• Set up the system of equations before looking at the answers. If you start from the answers, they confuse you because there are plausible but wrong combinations.
• Use the calculator to verify, not to explore. Calculate the answer, then check it in the table.
• If one column has a value you can deduce from the other, solve only one. Save time.

Time management in Data Insights

45 minutes, 20 questions — an average of 2 minutes and 15 seconds per question — but not all questions require the same time. Data Sufficiency and Graphics Interpretation can be closed in 1–1:30 minutes. Multi-Source Reasoning needs 3–4. Table Analysis falls in between.

A time allocation that works:

The biggest risk is spending 5 minutes on a particularly complex Multi-Source Reasoning set and finding yourself without time for the last 4 questions. For an overview of how time distributes across the three sections, see the article on the GMAT structure and scoring. Rule: if after 3 minutes on a question you don't see the path, answer your best and move on. Questions not reached cost more than a wrong answer.

The calculator: when to use it and when not to

Data Insights is the only section where you have an on-screen calculator. Using it is easy — click and calculate. The problem is that it slows you down.

Use it for:

• Verifying a result you estimated mentally
• Calculations with long decimals or percentages
• Two-Part Analysis where the numbers are large

Don't use it for:

• Calculations you'd do faster in your head (20% of 500 is 100 — no calculator needed)
• Data Sufficiency — calculations are almost never needed here, reasoning is
• Order-of-magnitude estimates on graphs

The practical rule: if the calculation takes more than 3 seconds mentally, use the calculator. If it takes less, the calculator slows you down because you need to click, enter numbers, and read the result.

Specific preparation for Data Insights

The preparation strategy for DI is different from Quant and Verbal because the variety of formats requires specific practice on each one.

Weeks 1–2: familiarization. Do 10–15 questions for each format, without a timer — you can find official questions in the official GMAC preparation materials. The goal is not speed — it is understanding the logic of each question type. Data Sufficiency deserves more time because it is counterintuitive.

Weeks 3–4: speed. Same exercise, but timed. Goal: stay within the target times from the table above. Identify which format slows you down the most — that is where you need to invest.

Week 5+: integrated simulations. Stop doing DI in isolation and do full simulations. The reason: DI comes after two other sections (or in the middle, depending on your order). Mental fatigue is real and changes performance. To build a complete plan that integrates DI with the other sections, visit the GMAT preparation page.

The Up to Ten simulation platform is particularly useful here because it presents all five formats adaptively: difficulty calibrates to your level for each question type separately. If you are strong in Data Sufficiency but weak in Multi-Source Reasoning, the platform presents more MSR questions at increasing difficulty — it doesn't repeat easy questions where you don't need practice.

FAQ

Is Data Insights the hardest section of the GMAT? Not necessarily the most difficult, but the most varied. Five different formats mean five different sets of strategies to master. For those with a quantitative background, it is often easier than Verbal. For those with a humanities background, Data Sufficiency and Two-Part Analysis may seem daunting at first — but they can be learned with practice because they follow predictable patterns.

Should I study Data Sufficiency separately or together with Quant? Separately. Data Sufficiency uses mathematical concepts that overlap with Quant, but the mental approach is completely different. In Quant you solve. In DS you evaluate whether you could solve. Mixing the two in the same study session confuses things.

Is old GMAT Integrated Reasoning material useful? Partially. Multi-Source Reasoning, Table Analysis, and Graphics Interpretation are similar to the old IR questions. But the context is different: in the old GMAT, IR was a standalone section with a separate score that many schools ignored. Now DI counts as much as Quant and Verbal. The level of effort required is proportionally higher.

How much time should I dedicate to DI compared to other sections? As a rule: at least 30% of your preparation time. If the diagnostic shows that DI is your weakest section, bring it to 40%. The complete GMAT preparation guide includes a 4-phase study plan that balances work across all sections. Many candidates make the mistake of dedicating 60% to Quant — which often improves less — and 10% to DI, where the growth margin is higher.

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The full GMAT preparation path:

• GMAT Preparation: The Complete Guide
• GMAT Structure: Sections, Scoring, and How It Works
• When to Take the GMAT: Timing and Planning
• GMAT Score: How Much You Need for Business School