{"id":11366,"date":"2017-02-08T15:00:00","date_gmt":"2017-02-08T15:00:00","guid":{"rendered":"https:\/\/zapliance.com\/?p=11366"},"modified":"2022-08-26T14:13:58","modified_gmt":"2022-08-26T14:13:58","slug":"data-analytics-where-topmanagers-should-keep-an-eye-on","status":"publish","type":"post","link":"https:\/\/zapliance.com\/en\/blog\/data-analytics-where-topmanagers-should-keep-an-eye-on\/","title":{"rendered":"Data Analytics where Topmanagers should keep an eye on"},"content":{"rendered":"\n<p>This four-part series deals with the analytics of&nbsp;very high incoming invoice amounts.&nbsp;In an audit of the purchasing process, you want to be quickly familiar with the risk-based transactions, because: high amounts of invoices = major potential risks.&nbsp;I will show you what is scientifically justified by high amounts of invoices and how to recognize them.&nbsp;With this background knowledge, you can focus on the most material and significant business transactions. This means for you: More efficiency in the next SAP Audit.<\/p>\n\n\n\n<p>Part 1 of the series: \u201cVery high incoming invoice amount\u201d<\/p>\n\n\n\n<p><strong>1.&nbsp;Where Topmanagers should keep an eye on<\/strong><br>2.&nbsp;<a href=\"https:\/\/zapliance.com\/blog\/getting-serious-what-are-high-incoming-invoice-amounts?lang=en\">Getting serious: What are high incoming invoices?<\/a><br>3.&nbsp;<a href=\"https:\/\/zapliance.com\/blog\/analytics-of-high-incoming-invoices?lang=en\">Analytics of high incoming invoices<\/a><br>4.&nbsp;<a href=\"https:\/\/zapliance.com\/blog\/two-graphics-for-evaluating-high-incoming-invoices?lang=en\">Two graphics for evaluating high incoming invoices<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What should I have my focus on?<\/h2>\n\n\n\n<p>Whether in the context of an SAP audit or the operational review of incoming invoices, top managers and auditors should ask themselves: What are the \u201cbig fishes\u201d that should be looked at in any case?&nbsp;How do you get the unusually high incoming invoices?&nbsp;Of course, you can simply sort by the amounts of all incoming invoices and then get a list of the largest invoices \u2013 but: are they \u201cunusual\u201d?&nbsp;How can one define \u201cunusual\u201d at all? Can there be invoices with more \u201cnormal\u201d amounts, which are \u201cunusual\u201d for the specific vendor?&nbsp;Let us think through this question in a structured way! I would like to explain how I would do it in order to analyze the SAP audit meaningfully. After this series you know:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>how an unusually high input calculation is scientifically defined,<\/li><li>how unusually high invoices are identified,<\/li><li>and what should be considered in SAP data analytics of unusually high invoices.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">How do you recognize unusually high incoming invoices?<\/h2>\n\n\n\n<p>First, you should not try to find unusually high input invoices in the complete totality of all input invoices.&nbsp;What you should do is:&nbsp;divide the basic population with respect to a particular context and then search for exceptionally high incoming invoices in the respective context.&nbsp;The obvious point here is to divide the total population by the individual vendors and then search for exceptionally high invoices within the vendors. The reason for this is simple: one can rather assume that the probability distribution of the invoice sums within a vendor is more stable than invoices of all vendors, when they are examined together and the distributions of the invoice sums of all vendors are mixed with one another.<\/p>\n\n\n\n<p>The basic totality of the incoming invoices is therefore divided according to the associated vendors. This process is called&nbsp;<em>stratification<\/em>&nbsp;within the statistics.&nbsp;Within each (vendor) layer, it is now evaluated which input statements are \u201cunusually\u201d high. But what is a \u201creliable high\u201d?<\/p>\n\n\n\n<p>To answer this question, it is sufficient to attempt simple basic concepts of descriptive statistics.&nbsp;We consider an \u201cunusually high\u201d when an invoice with respect to its sum can be regarded statistically as an outlier.<\/p>\n\n\n\n<p><br>In the next article of this series, you will learn how to identify these \u201coutliers\u201d, then follow these transactions in more detail.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This four-part series deals with the analytics of&nbsp;very high incoming invoice amounts.&nbsp;In an audit of the purchasing process, you want to be quickly familiar with the risk-based transactions, because: high amounts of invoices = major potential risks.&nbsp;I will show you what is scientifically justified by high amounts of invoices and how to recognize them.&nbsp;With this [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":10699,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[38,37,40],"tags":[],"class_list":["post-11366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-en-audit","category-en-compliance","category-en-finance"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - 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