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GMAT Data Insights: The Section That Defines Focus Edition

The new third of the GMAT — five question types that test whether you can read data and reason across sources, calculator allowed.

The big picture

Why Data Insights matters

Data Insights is equally weighted with Quant and Verbal, so it's a full third of your score — no longer an afterthought. It tests reading, interpreting and combining data from tables, charts and text to make decisions, and an on-screen calculator is available here (unlike Quant).

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Real example: Business schools care about this section because it mirrors real analytics work — turning messy data into a decision. Neglecting it now costs a third of your total score.
🧠 Memory hook: DI = a full third of the score, with a calculator. Never treat it as optional.

Data Sufficiency — enough, not the answer

Data Sufficiency gives a question plus two statements; you decide whether each alone, both together, or neither is enough to answer — you usually don't compute the final answer. The five choices never change, so learn them cold.

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Real example: 'Is x > 5?' Statement 1: x > 3 (not enough). Statement 2: x = 7 (enough alone). You answer 'statement 2 alone is sufficient' — without needing anything beyond that judgement.
🧠 Memory hook: DS asks 'is it ENOUGH?', not 'what's the answer?'. Judge sufficiency, don't solve.

Multi-Source & Table — organise before you answer

Multi-Source Reasoning spreads information across tabs (text, tables, charts) you must combine. Table Analysis lets you sort a table to judge true/false statements. Both reward a calm, find-the-relevant-data-first approach over rushing.

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Real example: In Table Analysis, sorting the column the statement is about (e.g. by revenue) often makes 'the top 3 all exceed X' instantly checkable — use the sort, don't eyeball.
🧠 Memory hook: Sort and locate first. In DI, finding the right data is half the answer.

Graphics & Two-Part — read the format carefully

Graphics Interpretation gives a chart and dropdown sentences to complete from it. Two-Part Analysis asks for two answers (one per column) that together satisfy a condition. Both punish careless reading of the chart or the prompt's exact requirement.

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Real example: In Two-Part Analysis, the two columns might be 'maximises revenue' and 'minimises cost' — a choice can be right for one column and wrong for the other, so read each column's requirement separately.
🧠 Memory hook: Read the chart axes / each column's requirement exactly. DI traps are misreads.

Test yourself before you move on

Re-reading a note feels like learning and produces almost none. The retrieval below is what actually builds the memory, so cover the map above and answer these from memory — out loud or written down, not in your head, because "I know this" is the feeling that fails under exam pressure.

  1. Without looking: what is Data Sufficiency, and how does it connect to Data Insights (20 Qs, 45 min)?
  2. Without looking: what is Multi-Source Reasoning, and how does it connect to Data Insights (20 Qs, 45 min)?
  3. Without looking: what is Table Analysis, and how does it connect to Data Insights (20 Qs, 45 min)?
  4. Without looking: what is Graphics Interpretation, and how does it connect to Data Insights (20 Qs, 45 min)?
  5. Without looking: what is Two-Part Analysis, and how does it connect to Data Insights (20 Qs, 45 min)?

Anything you could not produce is the part of this note you have not learned yet — regardless of how familiar it felt while reading. Re-read only that node, then re-test the whole set. Testing the whole set matters: recalling one idea in isolation is easier than recalling it among 5 competing ones, which is the situation the exam actually puts you in.

When to come back to this note

Spacing is not a scheduling detail, it is the mechanism. Meeting this material again just as it starts to fade forces the effortful retrieval that consolidates it, which is why a note reviewed four times across three weeks outlasts the same note read four times in one evening. The built-in scheduler resurfaces these questions at widening intervals for exactly that reason — the prompt arriving when you feel you have half-forgotten is the system working, not failing.

A practical rhythm for Data Insights (20 Qs, 45 min): today, again tomorrow, then after three days, then after a week. If you fail a review, shorten the next interval rather than re-reading the note end to end — the failure identifies the gap precisely, and re-reading everything wastes the diagnosis.

Then apply it under pressure. Knowing a concept in isolation and using it in a timed paper are different skills, and only the second is examined. There are 90 free GMAT practice tests here covering 1,920 questions — counted from the test files, not estimated. Take a full timed GMAT mock →

Frequently asked questions

How is the Data Insights section weighted, and is a calculator allowed?
It's equally weighted with Quant and Verbal (a full third of the score), and an on-screen calculator is available in Data Insights.
What does a Data Sufficiency question actually ask?
Whether the given statements are sufficient to answer — not what the final answer is.
What are the five Data Insights question types?
Data Sufficiency, Multi-Source Reasoning, Table Analysis, Graphics Interpretation and Two-Part Analysis.
What's the best approach to Table Analysis?
Sort the relevant column first, then judge the true/false statements — don't eyeball the data.
What must you watch for in Two-Part Analysis?
Each of the two columns has its own requirement, so an option can be right for one and wrong for the other.

Keep going — free practice

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