GMAT Data Insights Tips 2026: New Section Strategy, Question Types, Score 85+ — Complete Indian Student Guide

GMAT Data Insights is the newest GMAT section introduced in November 2023 with the Focus Edition. The 45-minute, 20-question section is scored 60–90 and tests 5 question types — Data Sufficiency, Multi-Source Reasoning, Table Analysis, Graphics Interpretation, Two-Part Analysis. Target for top MBA programmes (Harvard, Stanford, INSEAD): 85+. Indian aspirants from CAT / JEE backgrounds find this the hardest section initially since the format differs from anything in Indian exams.

GMAT Data Insights Overview

Data Insights is the newest GMAT section introduced in November 2023 with the Focus Edition. It replaces the older Integrated Reasoning section and incorporates Data Sufficiency (moved from Quant). The section is 45 minutes, 20 questions, scored 60–90 on the Focus Edition scale. Target for top MBA programmes (Harvard, Stanford, INSEAD): 85+. Indian aspirants from CAT / JEE backgrounds find this the hardest section initially since the format differs from anything in Indian exams.

5 Question Types

GMAT Data Insights 5 question types: (1) Data Sufficiency — given a problem + 2 statements, determine if statements provide enough info to answer (moved from Quant in Focus Edition). (2) Multi-Source Reasoning — read 2–3 tabs of related information, answer 2–3 questions. (3) Table Analysis — sort/filter a table, answer questions. (4) Graphics Interpretation — read a chart / graph, fill in blanks with dropdown answers. (5) Two-Part Analysis — answer two related questions about the same problem.

Data Sufficiency in Data Insights

Data Sufficiency questions remain similar but with adjustments in Focus Edition: (1) Now part of Data Insights section (45 min) instead of Quant. (2) Questions are scenario-based with business context. (3) 5 answer choices: A (statement 1 alone sufficient), B (statement 2 alone sufficient), C (both together sufficient), D (each alone sufficient), E (neither sufficient even together). (4) Heavily tests logical reasoning, not pure math. Indian engineers excel at DS with practice.

Multi-Source Reasoning

Multi-Source Reasoning (3–5 questions, 3 tabs of related info — typically emails, charts, articles): Strategy: (1) Quickly scan all 3 tabs in 60 seconds to understand the structure. (2) For each question, identify which tab(s) contain the relevant data. (3) Avoid spending more than 4 minutes total on a set of 3 questions. (4) Practice reading layered information — annotate connections between tabs. EEC has 29+ Multi-Source Reasoning practice sets.

Table Analysis

Table Analysis (3–4 questions, single sortable table): (1) Use the on-screen sort function to reorder columns by value. (2) For yes/no questions, evaluate each statement against the sorted data. (3) Speed is critical — target 90 seconds/question. (4) Common patterns: highest/lowest values, percentage changes, threshold-crossing rows. (5) Don't over-analyse — the answer is usually visible after one or two sorts. EEC Table Analysis module covers 29+ table types.

Graphics Interpretation

Graphics Interpretation (3–4 questions, single chart/graph + dropdown answers to fill blanks): (1) Read the chart axes carefully — note scale and units. (2) Identify the trend / outlier the question is asking about. (3) Dropdown menus have 4–6 options — eliminate clearly wrong ones first. (4) Common chart types: scatterplot, bar chart, line graph, bubble chart, geographic map. (5) Indian students from data-heavy fields (CS, engineering, finance) typically excel here.

Two-Part Analysis

Two-Part Analysis (2–3 questions, one problem with 2 related questions in a table): (1) Read the scenario carefully — the two parts are interdependent. (2) Identify if the parts are sequential (Part 1 affects Part 2) or independent. (3) Answer Part 1 first if independent; otherwise solve both simultaneously. (4) Common scenarios: cost-benefit analysis, profit / loss, conditional reasoning. (5) EEC has 40+ Two-Part Analysis practice sets organised by scenario type.

Daily Practice Schedule

Optimal Data Insights practice: 30–45 minutes daily for 6–8 weeks. Distribution: (1) 15 min — task-specific drills rotating between 5 question types. (2) 10 min — review explanation of yesterday's mistakes. (3) 15 min — full-section timed mocks (1 every 2 weeks). Combined with Quant + Verbal practice (60–90 min daily), this is 2 hours total daily for 8 weeks → a realistic path to 685+.

EEC Edge — Data Insights Coaching

EEC GMAT Data Insights specialist module: 30-hour foundation on all 5 question types, 8 full-length adaptive Data Insights mocks, 1-on-1 doubt sessions with band-9 trainer, ESR analysis for past test-takers, dedicated Telegram doubt-resolver for Data Insights queries. Available as standalone Data Insights crash course (₹5,000, 25 hours) or as part of full GMAT coaching (₹20,000 online / ₹25,000 classroom). EEC GMAT students score Data Insights 85+.