Management Accounting · Summarising and analysing data

Data Types and Sources of Data in Management Accounting

Updated 11 October 2026 · Fact-checked

Data are raw facts and figures. You classify them by how they were gathered (primary or secondary), by nature (qualitative or quantitative) and by values (discrete or continuous). In the MA exam, read the wording, match it to the definition, and check the source: inside or outside the organisation.

Understand Data Types and Sources of Data

Data are raw facts, figures and observations before they have been processed. Managers cannot use them well until they are organised into information. Before you analyse data, you need to know what type they are and where they came from, because this decides which methods and charts suit them.

First, think about how the data were collected. Primary data are collected by you or your organisation for a specific purpose, for example a customer survey run by the firm. They are fresh and fit the question, but cost more time and money. Secondary data already exist, having been collected by someone else for another purpose, for example government statistics or a published industry report. They are cheaper and quicker, but may be out of date or not fit your need.

Second, think about the nature of the data. Quantitative data are numbers that can be measured, such as units sold or cost per unit. Qualitative data describe qualities and opinions, such as customer comments or staff morale. Qualitative data can be turned into numbers, for example by scoring ratings, but they begin as descriptions.

Third, quantitative data are split into two kinds. Discrete data can take only certain separate values, usually whole numbers that you count, such as the number of machines or customers. Continuous data can take any value in a range and are measured, such as time, weight, length or temperature. A simple test: if it makes sense to say 2.4, it is continuous. Note that money is usually treated as discrete, because it moves in the smallest currency unit, but check the question wording.

Finally, sources. Internal sources come from inside the organisation: accounting records, payroll, inventory records, sales ledgers. External sources come from outside: government bodies, trade associations, competitors' published accounts, the press, market research firms. Internal data are cheap and quick to get. External data give a wider view of the market.

Key formulas to remember

Primary vs secondary data: Primary = collected first-hand for this purpose; Secondary = already collected by someone else; The test is who collected the data and why, not whether it is internal or external.
Quantitative vs qualitative data: Quantitative = numerical and measurable; Qualitative = descriptive, based on opinion or quality; Ratings scored from 1 to 5 are still based on opinion, but the scores are numerical.
Discrete vs continuous data: Discrete = counted, separate values; Continuous = measured, any value in a range; Ask: can the value sensibly be a fraction or decimal? If yes, it is continuous.
Internal vs external source: Internal = from within the organisation; External = from outside it; Internal data can be primary or secondary. Check the wording of the question.

How to solve Data Types and Sources of Data questions

Use this method for any classification or source question in the objective test.

1Read the question and identify what is being classified: the way data were collected, the nature of the data, the type of values, or the source.
2Underline the clue words, such as 'surveyed', 'published', 'counted', 'measured', 'opinion' or 'government'.
3For collection, ask: did the organisation gather this itself for this purpose? If yes, it is primary; if not, secondary.
4For nature, ask: is it a number or a description? Numbers are quantitative; opinions and qualities are qualitative.
5For values, ask: is it counted in whole units (discrete) or measured on a scale (continuous)?
6For sources, ask: is it held inside the organisation or obtained from outside?
7If the question asks for advantages or disadvantages, link them to cost, speed, relevance and reliability.
8Check the number of answers required in multiple response questions before you submit.

Quickest way: Clue-word shortcut

When to use it: Use when you are short of time on a multiple choice or multiple response question that asks you to classify data.

Spot the clue word: 'counted' means discrete; 'measured' means continuous.
'Survey', 'interview' or 'our own records created for this study' point to primary data.
'Published', 'government' or 'industry report' point to secondary data.
'Opinion', 'comments' or 'attitude' point to qualitative data.
Eliminate options that fail the test, then pick the one that fits all conditions.

Common mistakes in Data Types and Sources of Data

Treating internal data as always primary and external data as always secondary.
Students mix up the location of the source with who collected the data.
Fix: Use two separate tests. Primary or secondary depends on who collected the data and why. Internal or external depends on where the source sits. Last year's sales ledger used for a new forecast is internal but secondary.
Calling a measured quantity such as time or weight discrete.
Students round values to whole numbers and assume they are counted.
Fix: Ask how the value arises. If it is measured on a scale, it is continuous, even if reported to the nearest whole number.
Saying qualitative data cannot be analysed.
Students assume only numbers can be used.
Fix: Qualitative data can be coded or scored, for example by counting how many customers gave a particular answer. The data are still qualitative in origin.
Calling the number of customers or units continuous.
Averages such as 2.4 customers per hour look like decimals.
Fix: Look at the raw data, not the average. You cannot have half a customer, so the data are discrete even if the average is a decimal.
Claiming secondary data are always unreliable.
Students overlearn the disadvantages.
Fix: Say secondary data may be out of date or collected for a different purpose, so check the source, date and method. Reputable official statistics can be very reliable.

Worked examples

Example 1

A company sends a questionnaire to 500 of its own customers to find out how satisfied they are with delivery times. Which TWO statements describe the data collected? (A) Primary data (B) Secondary data (C) Qualitative data (D) Continuous data

Show the solution

The company designed and ran the questionnaire itself for this purpose, so the data are primary. (A) is correct and (B) is not.
The answers about satisfaction are opinions, so they are qualitative. (C) is correct.
Satisfaction is not a measured quantity on a continuous scale in this question, so (D) is not supported.

Answer: (A) and (C): the data are primary and qualitative.

Example 2

A factory records the following: (i) the number of defective units per batch, (ii) the time taken to make each unit in minutes. Classify each as discrete or continuous.

Show the solution

(i) Defective units are counted in whole numbers, so they are discrete.
(ii) Time is measured and can take any value in a range, such as 4.37 minutes, so it is continuous.

Answer: (i) Discrete; (ii) Continuous.

Exam tips

Read the question stem twice. Many marks are lost on one clue word such as 'published' or 'own survey'.
In multiple response questions, select exactly the number of answers stated. Extra choices usually score nothing.
Keep the two tests apart: primary or secondary is about who collected the data; internal or external is about where the source is.
For advantages and disadvantages, think cost, speed, relevance and reliability.
Do not spend long on these questions. They are quick marks if you know the definitions.

Practice questions from Summarising and analysing data

Data Types and Sources of Data in other exams

The same ground in other exams, if you are preparing for more than one or want another angle on it.

Data Types and Sources of Data: frequently asked questions

What is the difference between primary and secondary data?

Primary data are collected first-hand for a specific purpose, such as your own survey. Secondary data were collected by someone else for another purpose, such as a government report. Primary data fit your need better but cost more.

What is the difference between discrete and continuous data?

Discrete data are counted and take separate values, such as the number of employees. Continuous data are measured and can take any value in a range, such as weight or time. If a fraction makes sense, the data are continuous.

What types of data are used in management accounting?

Management accountants use quantitative data such as costs, volumes and hours, and qualitative data such as customer feedback. Data come from internal sources like accounting records and external sources like market reports.

Are sampling methods part of this topic?

Sampling is a separate topic in the same chapter. It builds on this one, because you sample from a population to collect primary data. Study it alongside data types and sources.