Variance Analysis


The concept describes the essential activity of variance analysis for budgetary control. It explains the key strengths of variance analysis, as well as some limitations and offers practical implementation guidance and measures for success.

Technique Overview

Variance Analysis

Variance Analysis Definition

Variance analysis is a management process that involves comparing actual period business achievements with the budgeted figures (Fields, 2011). It is necessary to assess the absolute differences, their significance and the variance type (Crosson and Needles, 2010). There are two types of variance: favourable (income exceeds budget and/or expenses are lower than budget) and adverse (Collier, 2003).

Variance Analysis Description *

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Business Evidence

Strengths, weaknesses and examples of Variance Analysis *

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Business Application

Implementation, success factors and measures of Variance Analysis *

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Professional Tools

Variance Analysis videos and downloads *

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Further Reading

Variance Analysis web and print resources *

Variance Analysis references (4 of up to 20) *

  • BusinessWeek.com (2012) Executive Profile: Nigel Railton. Available at: [Accessed on 12 Jan 2012].
  • Collier, P.M. (2003) Accounting for managers: interpreting accounting information for decision-making. John Wiley and Sons.
  • Crosson, S.V., Needles, B.E. (2010) Managerial Accounting. Cengage Learning.
  • Dean, G. W. Joye, M. P., Blayney, P. J. (1991) Strategic Management Accounting Survey: Overhead Cost Allocation and Performance Evaluation Practices of Australian Manufacturers. Accounting and Finance, 8.

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Related Concept: Collating and Formatting Data

Before any analysis can happen, data needs to be collated from correct sources and formatted so it follows clear organisational standards. Research shows that inconsistent structures and formats make data harder to combine, process and trust (Jagadish et al., 2014). Collating and formatting ensure the dataset is clean, consistent and ready for use.