GMAT Data Insights: Mastering the Newest Section

The Data Insights (DI) section is the GMAT Focus Edition's most distinctive feature — and the one that trips up the most test-takers. It combines data analysis, logical reasoning, and quantitative skills in ways that neither the old Quant nor IR sections did. Here's how to master it.

What Makes Data Insights Different

Data Insights tests your ability to analyze and synthesize information from multiple sources — a skill that's directly relevant to business decision-making. It's not about doing hard math. It's about determining what data matters, whether you have enough information, and what conclusions the data supports.

The section has 20 questions in 45 minutes, divided across five question types:

1. Data Sufficiency (DS) — ~5-6 questions
2. Multi-Source Reasoning (MSR) — ~3-4 questions
3. Table Analysis (TA) — ~3-4 questions
4. Graphics Interpretation (GI) — ~3-4 questions
5. Two-Part Analysis (TPA) — ~3-4 questions

Data Sufficiency: The Logic Puzzle

DS is the most important question type in Data Insights, and it migrated here from the old Quant section. The format: you're given a question and two statements. You must determine which statements, alone or together, are sufficient to answer the question.

The AD/BCE Framework

This framework eliminates confusion:

• If sufficient → Answer is A or D (go to Step 2)
• If insufficient → Answer is B, C, or E (go to Step 3)

• If sufficient → Answer is D (each alone is sufficient)
• If insufficient → Answer is A (only Statement 1)

• If sufficient → Answer is B (only Statement 2)
• If insufficient → go to Step 4

• If sufficient → Answer is C (together but not alone)
• If insufficient → Answer is E (not even together)

Common DS Traps

Trap 1: Solving instead of evaluating. You don't need to find the actual answer — just determine whether an answer CAN be found. Many students waste time calculating when they only need to assess sufficiency.

Trap 2: Forgetting to try statements together. After finding both statements individually insufficient, students sometimes jump to E without testing the combination.

Trap 3: Number properties assumptions. "x² = 4" doesn't mean x = 2. It means x = 2 OR x = -2. Unless you're told x is positive, you have two possible values — and that's insufficient.

Trap 4: Implied constraints. If the problem says "the number of employees," you know it's a positive integer. These implicit constraints can make a statement sufficient when it looks insufficient at first glance.

Multi-Source Reasoning: The Information Synthesis Challenge

MSR presents 2-3 tabs of information — text, tables, charts, or a combination — and asks questions that require synthesizing across sources. These are often "yes/no" format where each sub-question is independent.

MSR Strategy

1. Read ALL tabs thoroughly (spend 2-3 minutes on this)
2. Note what type of information each tab contains
3. Identify connections between tabs (shared variables, categories, etc.)

• Tab 1 has a policy/rule, Tab 2 has data — you apply the rule to the data
• Tab 1 has text describing a situation, Tab 2 has a table of numbers — you cross-reference
• Three tabs each provide partial information that must be combined

The #1 MSR mistake: Answering based on only one tab when the answer requires data from multiple tabs. Always ask yourself: "Am I using all available information?"

Table Analysis: Sort and Conquer

Table Analysis questions present a sortable spreadsheet. You'll answer 3-4 yes/no questions about the data.

TA Strategy

1. Read the questions first. Know what you're looking for before sorting.
2. Sort strategically. Each question typically requires sorting by a different column. Sort, answer, re-sort.
3. Watch for conditional questions. "Of the companies with revenue over $10M, which had the highest growth rate?" requires you to filter mentally while sorting.
4. Don't try to memorize the table. Sort and look. It's faster than scanning unsorted data.

• Confusing "at least" with "more than" — boundary values matter
• Overlooking tied values when questions ask about ranking
• Missing conditional language that narrows the relevant data

Graphics Interpretation: Read the Axes

GI questions present a chart (scatter plot, bar chart, line graph, bubble chart, etc.) and ask you to fill in statements about the data. These often use dropdown menus where you select the correct value.

GI Strategy

1. Read axis labels and legends carefully. Many errors come from misreading what's being measured or the scale.
2. Identify the relationship being tested. Is it correlation? Comparison? Trend?
3. Estimate, don't calculate exactly. GI questions usually test your ability to read and interpret visual data, not compute precise values.
4. Watch for dual axes. Some graphs have a left and right y-axis measuring different things. Confusing them is an easy error.

• For scatter plots, look at the trend (positive, negative, no correlation)
• For bar charts, compare relative heights, not exact values
• For line graphs, focus on slope changes (acceleration/deceleration)
• For bubble charts, consider all three dimensions (x, y, and bubble size)

Two-Part Analysis: The Interlinked Problem

TPA questions present a problem with two components. You select one answer for each component from a shared set of answer choices. The components are usually related — getting one right often depends on understanding both.

TPA Strategy

1. Identify the relationship between parts. Common relationships: two variables in an equation, two steps in a process, two elements of an argument.
2. Look for constraints that link the answers. If Part A + Part B must equal 100, and you know Part A, you've solved both.
3. Solve the more constrained part first. If one part has fewer possible values, start there.
4. Verify that your answers satisfy all stated conditions. It's easy to find an answer that works for one part but violates a condition for the other.

• Quant TPA: Solve for two unknowns, allocate resources, find rate and time
• Verbal TPA: Identify an argument's assumption AND the fact that weakens it, find two statements that complete a logical chain

Time Management in Data Insights

With 20 questions in 45 minutes, you have an average of 2 minutes 15 seconds per question. But not all question types take equal time:

• GI and TA: Aim for 1.5-2 minutes. These are straightforward if you read carefully.
• DS: Aim for 2-2.5 minutes. The logic is quick once you've mastered the framework.
• MSR: Budget 3-4 minutes including initial reading time. These are the most time-intensive.
• TPA: Aim for 2.5-3 minutes. The interlinked nature requires careful verification.

Critical time rule: If you've spent 3 minutes on any single question (other than MSR), make your best guess and move on. One hard question isn't worth three easy ones.

Building Data Insights Skills

### Week 1-2: Learn the formats
Practice each question type separately. Get comfortable with DS logic, MSR reading, TA sorting, GI interpretation, and TPA problem-solving.

### Week 3-4: Build speed
Do timed sets mixing all five types. Focus on recognizing question types quickly and applying the right strategy automatically.

### Week 5+: Simulate test conditions
Include DI in full practice tests. Build stamina for the full 45-minute section and practice transitions between question types.

Data Insights rewards the prepared and punishes the careless. Master the frameworks, practice the formats, and always — always — read the data carefully before answering.