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add_action('wp_head', 'add_my_script');/**<js>*/{"id":7892,"date":"2020-06-03T16:04:28","date_gmt":"2020-06-03T10:34:28","guid":{"rendered":"http:\/\/retrendcollection.in\/?p=7892"},"modified":"2023-04-04T16:28:26","modified_gmt":"2023-04-04T10:58:26","slug":"how-to-build-a-flexible-budget-variance-analysis","status":"publish","type":"post","link":"https:\/\/retrendcollection.in\/?p=7892","title":{"rendered":"How to Build a Flexible Budget Variance Analysis in Excel"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">Factory Overhead Variances:<\/a><\/li>\n<li><a href=\"#toc-1\">Standard cost yield variance- Calculation &#038; Explanation<\/a><\/li>\n<li><a href=\"#toc-2\">Cost variance formula- Standard Cost Variances<\/a><\/li>\n<li><a href=\"#toc-3\">Analysis of variance<\/a><\/li>\n<li><a href=\"#toc-4\">The Column Method for Variance Analysis<\/a><\/li>\n<li><a href=\"#toc-6\">What Is Variance Analysis?<\/a><\/li>\n<\/ul>\n<\/div>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"255px\" alt=\"variance analysis formula\"\/><\/p>\n<p>Unfavorable variances mean your prediction is better than the actual outcome. Forecasting how much you\u2019re going to spend and receive is a key part of running a business. More than likely, you\u2019ll experience a variance in accounting at some point. Especially in high-growth companies, executives tend to spend a lot of time budgeting and looking at expense variances.<\/p>\n<ul>\n<li>However, when applied to data from non-randomized experiments or observational studies, model-based analysis lacks the warrant of randomization.<\/li>\n<li>This can lead to sub-standard products or services, damaging the company&#8217;s reputation.<\/li>\n<li>Standard costing is an accounting method that uses predetermined costs for materials and labor to value inventory and calculate the cost of goods sold.<\/li>\n<li>It&#8217;s a branch of cost accounting used by a manufacturer, for example, to plan their costs for the coming year on various expenses such as direct material, direct labor, or overhead.<\/li>\n<li>For example, a minor variance could be caused by a change in the price of raw materials, while inefficiencies in your production process could cause a more significant variance.<\/li>\n<li>To investigate standard cost variances, you must collect data on prices and quantities.<\/li>\n<\/ul>\n<p>Note that both approaches\u2014the direct materials price variance calculation and the alternative calculation\u2014yield the same result. When performing a variance analysis, it is important to use reliable sources of data and to have a clear understanding of the rate and volume drivers. It is also important to have proper controls in place, such as budget\/forecast accuracy, data validation checks, and periodic <a href=\"https:\/\/online-accounting.net\/variance-analysis-formula-with-example\/\">variance analysis formula<\/a> performance reviews. Lastly, it is important to ensure that you are adhering to organizational policies when analyzing performance results. The benefits of variance analysis include improved visibility into the drivers of results and more effective decision-making. By analyzing  both rate and volume drivers, businesses can identify variances between actual performance and expectations or goals.<\/p>\n<h2 id=\"toc-0\">Factory Overhead Variances:<\/h2>\n<p>Some insights immediately jump out once the rate and volume analysis is complete. Wages were higher than budget, but it was actually driven by hours worked since the wage rate was favorable. Sales volume is having a larger impact than sales rate compared to both budget and prior year.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/online-accounting.net\/wp-content\/uploads\/2022\/01\/971e2559-b512-49ae-bd76-1992450305f3.jpg\" width=\"251px\" alt=\"variance analysis formula\"\/><\/p>\n<p>Another sign that a standard cost may be incorrect is if it doesn&#8217;t match the actual production costs. This can happen for various reasons, such as changes in raw materials prices or production methods. If the standard cost doesn&#8217;t match the actual costs, it can again lead to inefficiencies and losses. Investigating variances can be done by looking at actual and standard costs. Additionally, checking actual costs against standard costs can help verify the system&#8217;s accuracy. Periodically reviewing standard costs can also help to ensure that the system is accurate and up-to-date.<\/p>\n<h2 id=\"toc-1\">Standard cost yield variance- Calculation &#038; Explanation<\/h2>\n<p>This includes any changes that may have been made to the original budget or forecast and any new information that may have come to light since the variance was first identified. Next, please speak with the individuals responsible for creating the budget or forecast to get their insights into what may have caused the variance. If you find an error in the data, it is essential to correct it as soon as possible. This indicates that 20% of the product was lost or wasted after it reached the final production stage. There is less risk of not meeting it and more room for error by having a lower target. Additionally, if the actual yield is higher than the target, it can be considered a bonus.<\/p>\n<ul>\n<li>With a narrower time frame, you can find and fix problems more easily.<\/li>\n<li>Laplace knew how to estimate a variance from a residual sum of squares.<\/li>\n<li>This information can be used to adjust the production process to reduce costs.<\/li>\n<li>Your sales methods and organization size will affect the ideal metrics for you to track.<\/li>\n<li>The challenge for a good manager is to take the variance information, examine the root causes, and take necessary corrective measures to fine tune business operations.<\/li>\n<\/ul>\n<p>Caution is advised when encountering interactions; Test interaction terms first and expand the analysis beyond ANOVA if interactions are found. Texts vary in their recommendations regarding the continuation of the ANOVA procedure after encountering an interaction. Neither the calculations of significance nor the estimated treatment effects can be taken at face value. &#8220;A significant interaction will often mask the significance of main effects.&#8221; Graphical methods are recommended to enhance understanding.<\/p>\n<h2 id=\"toc-2\">Cost variance formula- Standard Cost Variances<\/h2>\n<p>Standard costs provide information that is useful in performance evaluation. Standard costs  are compared to actual costs, and mathematical deviations between the two are termed variances. Favorable variances result when actual costs are less than standard costs, and vice versa.<\/p>\n<p>Standard costs are used to establish the flexible budget for direct materials. The flexible budget is compared to actual costs, and the difference is shown in the form of two variances. The materials quantity variance focuses on the quantity of materials used in production. It is defined as the difference between the actual quantity of materials used in production and budgeted materials that should have been used in production based on the standards. When conducting variance analysis, it is essential to determine whether a particular cost variance is due to a system error or human error.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content Factory Overhead Variances: Standard cost yield variance- Calculation &#038; Explanation Cost variance formula- Standard Cost Variances Analysis of variance The Column Method for Variance Analysis What Is Variance Analysis? Unfavorable variances mean your prediction is better than the actual outcome. Forecasting how much you\u2019re going to spend and receive is a key part of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[117],"tags":[],"class_list":["post-7892","post","type-post","status-publish","format-standard","hentry","category-bookkeeping"],"jetpack_featured_media_url":"","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Build a Flexible Budget Variance Analysis in Excel - Re-Trend<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/retrendcollection.in\/?p=7892\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Build a Flexible Budget Variance Analysis in Excel - Re-Trend\" \/>\n<meta property=\"og:description\" content=\"Content Factory Overhead Variances: Standard cost yield variance- Calculation &#038; Explanation Cost variance formula- Standard Cost Variances Analysis of variance The Column Method for Variance Analysis What Is Variance Analysis? 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