{"id":255763,"date":"2024-04-03T10:46:11","date_gmt":"2024-04-03T08:46:11","guid":{"rendered":"https:\/\/parm.com\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/"},"modified":"2026-07-28T13:04:33","modified_gmt":"2026-07-28T11:04:33","slug":"everything-you-need-to-know-about-the-4-types-of-data-analysis","status":"publish","type":"post","link":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/","title":{"rendered":"Everything you need to know about the 4 types of data analysis"},"content":{"rendered":"\n<div class=\"et_pb_section_0 et_pb_section et_section_regular et_block_section\"><div class=\"et_pb_row_0 et_pb_row et_block_row\"><div class=\"et_pb_column_0 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h1>Alles, was Sie \u00fcber die 4 Arten der Datenanalyse wissen m\u00fcssen<span style=\"font-size: large;\"><\/span><\/h1>\n<\/div><\/div><div class=\"et_pb_code_0 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"shariff shariff-align-left shariff-widget-align-left\" style=\"display:none\"><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F\" title=\"Bei Facebook teilen\" aria-label=\"Bei Facebook teilen\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; background-color:#3b5998; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F\" title=\"Bei LinkedIn teilen\" aria-label=\"Bei LinkedIn teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button xing shariff-nocustomcolor\" style=\"background-color:#29888a\"><a href=\"https:\/\/www.xing.com\/spi\/shares\/new?url=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F\" title=\"Bei XING teilen\" aria-label=\"Bei XING teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#126567; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 25 32\"><path fill=\"#126567\" d=\"M10.7 11.9q-0.2 0.3-4.6 8.2-0.5 0.8-1.2 0.8h-4.3q-0.4 0-0.5-0.3t0-0.6l4.5-8q0 0 0 0l-2.9-5q-0.2-0.4 0-0.7 0.2-0.3 0.5-0.3h4.3q0.7 0 1.2 0.8zM25.1 0.4q0.2 0.3 0 0.7l-9.4 16.7 6 11q0.2 0.4 0 0.6-0.2 0.3-0.6 0.3h-4.3q-0.7 0-1.2-0.8l-6-11.1q0.3-0.6 9.5-16.8 0.4-0.8 1.2-0.8h4.3q0.4 0 0.5 0.3z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F&subject=Everything%20you%20need%20to%20know%20about%20the%204%20types%20of%20data%20analysis\" title=\"Per E-Mail versenden\" aria-label=\"Per E-Mail versenden\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/div><\/div><\/div><div class=\"et_pb_row_1 et_pb_row et_block_row\"><div class=\"et_pb_column_1 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_image_0 et_pb_image et_pb_module et_block_module\"><span class=\"et_pb_image_wrap\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN.jpg\" width=\"2500\" height=\"1313\" srcset=\"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN.jpg 2500w, https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-1280x672.jpg 1280w, https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-980x515.jpg 980w, https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-480x252.jpg 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2500px, 100vw\" class=\"wp-image-36664\" title=\"Post_Datenanalysearten\" alt=\"Alles, was Sie \u00fcber die 4 Arten der Datenanalyse wissen m\u00fcssen\" \/><\/span><\/div><\/div><\/div><div class=\"et_pb_row_2 et_pb_row et_pb_equal_columns et_block_row\"><div class=\"et_pb_column_2 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Mit Business Intelligence Software kann man Daten auf unterschiedliche Arten analysieren. Dabei gibt es vier Grundlegende Arten der Datenanalyse: Deskriptive, diagnostische, pr\u00e4diktive und pr\u00e4skriptive Analysen. Jede dieser Analysen hat einen bestimmten Zweck und kann mit den anderen Analysen kombiniert werden, um einen umfassenden Blick auf Ihre Daten zu erhalten. Wir erkl\u00e4ren alles, was Sie \u00fcber die verschiedenen Arten der Datenanalysen wissen m\u00fcssen.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_3 et_pb_row et_block_row\"><div class=\"et_pb_column_3 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#Die_verschiedenen_Arten_der_Datenanalyse\" >Die verschiedenen Arten der Datenanalyse<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#1_Die_deskriptive_Analyse_%E2%80%93_Was_ist_passiert\" >1. Die deskriptive Analyse \u2013 Was ist passiert?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#2_Diagnostische_Analyse_%E2%80%93_Warum_ist_es_passiert\" >2. Diagnostische Analyse \u2013 Warum ist es passiert?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#3_Pradiktive_Analyse_%E2%80%93_Was_konnte_in_der_Zukunft_passieren\" >3. Pr\u00e4diktive Analyse \u2013 Was k\u00f6nnte in der Zukunft passieren?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#4_Praskriptive_Analyse_%E2%80%93_Was_sollten_wir_als_nachstes_tun\" >4. Pr\u00e4skriptive Analyse \u2013 Was sollten wir als n\u00e4chstes tun?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#Fazit\" >Fazit<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Die_verschiedenen_Arten_der_Datenanalyse\"><\/span>Die verschiedenen Arten der Datenanalyse<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Datenanalysen werden genutzt, um mit Hilfe der Daten Fragen zu beantworten, Trends zu erkennen, oder Erkenntnisse f\u00fcr Entscheidungen zu gewinnen. Dabei gibt es 4 grundlegende Arten der Analyse:<\/p>\n<ul>\n<li>Die <strong>deskriptive Analyse<\/strong> hilft zu beschreiben, was die aktuelle Situation ist, bzw. was in der Vergangenheit passiert ist.<\/li>\n<li>Eine <strong>diagnostische Analyse<\/strong> liefert eine Erkl\u00e4rung daf\u00fcr, warum etwas geschehen ist.<\/li>\n<li>Mit einer <strong>pr\u00e4diktiven Analyse<\/strong> kann erkannt werden, was in Zukunft passieren k\u00f6nnte.<\/li>\n<li>Die <strong>pr\u00e4skriptive Analyse<\/strong> zeigt dagegen, welche Massnahmen als n\u00e4chstes ergriffen werden sollten.<\/li>\n<\/ul>\n<\/div><\/div><div class=\"et_pb_text_3 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"1_Die_deskriptive_Analyse_%E2%80%93_Was_ist_passiert\"><\/span>1. Die deskriptive Analyse \u2013 Was ist passiert?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Das Hauptziel der deskriptiven Analyse besteht darin, herauszufinden, wie die aktuelle Situation ist, und so zu erkennen, ob etwas in der Vergangenheit funktioniert hat, oder nicht. Sie ist die einfachste Form der Analyse und daher auch diejenige, die am h\u00e4ufigsten angewendet wird. Sie nutzt historische Daten, um ein allgemeines Verst\u00e4ndnis der Geschehnisse zu erhalten. Daf\u00fcr werden meist Dashboards oder Berichte verwendet, in denen die Daten visuell aufbereitet und leicht verst\u00e4ndlich dargestellt werden. Das erm\u00f6glicht es, aus vergangenen Geschehnissen zu lernen und eine grobe Vorstellung zu bekommen, wie sie sich auf zuk\u00fcnftige Ereignisse auswirken k\u00f6nnen.<\/p>\n<p><em>Beispiele:<\/em><\/p>\n<ul>\n<li><strong>Marketinganalysen:<\/strong> Mit deskriptiver Analyse kann beispielsweise die Anzahl der Besucher auf der Firmenwebsite, von welcher Quelle diese Besucher kamen oder auch das Engagement auf den sozialen Medien beschrieben werden. Das hierf\u00fcr meistgenutzte Tool Google Analytics kann also als ein Werkzeug f\u00fcr deskriptive Analysen betrachtet werden.<\/li>\n<li><strong>Finanzberichte:<\/strong> Auch Finanzberichte beschreiben eine aktuelle Situation, indem sie sie in Kennzahlen, wie beispielsweise den Umsatz, anzeigen und im Vergleich zu vorherigen Perioden darstellen.<\/li>\n<li><strong>Produktion:<\/strong> Auch in der Produktion k\u00f6nnen deskriptive Analysen verwendet werden, da sie beispielsweise die Produktivit\u00e4t einzelner Bereiche abbilden k\u00f6nnen.<\/li>\n<\/ul>\n<p>Deskriptive Analysen bilden meist die Grundlage f\u00fcr weiterf\u00fchrende Analysen, da mit ihnen die Vergangenheit einfach analysiert werden kann. So k\u00f6nnen Trends und Ver\u00e4nderungen, die im Laufe der Zeit aufgetreten sind, leicht erkannt werden und als Ansatzpunkt f\u00fcr weitere Analysen dienen. Ausserdem k\u00f6nnen deskriptive Analysen dabei helfen zu \u00fcberpr\u00fcfen, ob zum aktuellen Zeitpunkt alles nach Plan l\u00e4uft, und falls dies nicht der Fall sein sollte, herauszufinden, in welchem Bereich es gerade Schwierigkeiten gibt.<\/p>\n<\/div><\/div><div class=\"et_pb_text_4 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"2_Diagnostische_Analyse_%E2%80%93_Warum_ist_es_passiert\"><\/span>2. Diagnostische Analyse \u2013 Warum ist es passiert?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Die diagnostische Analyse geht einen Schritt weiter und versucht, die Ursachen hinter bestimmten Ereignissen oder Trends zu identifizieren. Durch die Untersuchung von Beziehungen zwischen verschiedenen Variablen kann man herausfinden, warum etwas passiert ist und welche Faktoren dazu beigetragen haben. Diese Art der Analyse erm\u00f6glicht es Unternehmen, die Ursachen f\u00fcr Probleme zu identifizieren und geeignete L\u00f6sungen zu finden.<br \/>Diagnostische Analysen umfassen verschiedene Techniken, wie z. B. Data Drilling, Data Mining und Korrelationsanalysen.<\/p>\n<ul>\n<li><strong>Data Drilling<\/strong> unterst\u00fctzt Unternehmen bei der Erforschung von Daten, dadurch, dass es verschiedene Datenansichten bereitstellt. So wird es m\u00f6glich, tief in die Daten einzutauchen und gleichzeitig grosse Mengen an Rohdaten in Berichten und Dashboards zur Untersuchung zusammenzufassen.<\/li>\n<li>Das <strong>Data Mining<\/strong> hilft dabei, Anomalien, Muster oder Korrelationen in Datens\u00e4tzen zu erkennen. Daf\u00fcr werden Methoden wie maschinelles Lernen oder Statistik verwendet.<\/li>\n<li>Eine <strong>Korrelationsanalyse<\/strong> untersucht, wie verschiedene Variablen miteinander verkn\u00fcpft sind und kann somit zeigen, wie stark sich eine Variable aufgrund der Ver\u00e4nderung einer anderen Variable \u00e4ndert. Eine hohe Korrelation weist auf eine starke Beziehung der Variablen hin, eine niedrige auf eine schwache Beziehung.<\/li>\n<\/ul>\n<p>Auf diese Weise k\u00f6nnen diagnostische Analysen dabei helfen, unvorhergesehene Ereignisse zu erkl\u00e4ren, Anomalien aufzudecken oder kausale Zusammenh\u00e4nge zu erkennen.<\/p>\n<p><em>Beispiele:<\/em><\/p>\n<ul>\n<li><strong>Unternehmenserfolg:<\/strong> Wird pl\u00f6tzlich ein Einbruch beim Umsatz verzeichnet, kann mit Hilfe einer diagnostischen Analyse herausgefunden werden, warum das der Fall ist und welche Variablen hierbei zusammengespielt haben.<\/li>\n<li><strong>Gesundheitswesen:<\/strong> In der Medizin werden diagnostische Analysen eingesetzt, um Krankheitsursachen zu identifizieren, das Auftreten von Symptomen zu verstehen und Behandlungsm\u00f6glichkeiten zu verbessern.<\/li>\n<li><strong>Qualit\u00e4tskontrolle:<\/strong> In der Produktion werden diagnostische Analysen eingesetzt, um Qualit\u00e4tsprobleme zu identifizieren und zu l\u00f6sen. So k\u00f6nnen die Ursachen f\u00fcr Produktionsfehler erkannt werden.<\/li>\n<li><strong>Kundenbeziehungsmanagement:<\/strong> Diagnostische Analysen k\u00f6nnen auch genutzt werden, um die Gr\u00fcnde f\u00fcr Kundenbeschwerden oder Abwanderungen zu erkennen. Auf diese Weise k\u00f6nnen Produkte oder der Kundenservice verbessert werden.<\/li>\n<\/ul>\n<\/div><\/div><div class=\"et_pb_text_5 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"3_Pradiktive_Analyse_%E2%80%93_Was_konnte_in_der_Zukunft_passieren\"><\/span>3. Pr\u00e4diktive Analyse \u2013 Was k\u00f6nnte in der Zukunft passieren?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Die pr\u00e4diktive Analyse nutzt statistische Modelle und Algorithmen, um zuk\u00fcnftige Ereignisse oder Trends vorherzusagen. Durch die Verwendung von historischen Daten und dem Identifizieren von Mustern k\u00f6nnen Vorhersagemodelle entwickelt werden, die dabei helfen, zuk\u00fcnftige Entwicklungen zu vorherzusagen. Auch hierbei werden Methoden auch der Statistik, maschinelles Lernen oder Data Mining auf aktuelle oder historische Daten angewendet, um daraus dann Aussagen \u00fcber wahrscheinliches zuk\u00fcnftiges Verhalten zu treffen. Diese Art der Analyse ist besonders n\u00fctzlich, um Chancen zu erkennen und Risiken zu minimieren. <\/p>\n<p><em>Beispiele:<\/em><\/p>\n<ul>\n<li><strong>Verhinderung von Betrug:<\/strong> Mit der pr\u00e4diktiven Analyse kann Kundenverhalten vorhergesagt werden. Daher wird sie h\u00e4ufig genutzt, um Muster in Kundenverhalten aufzudecken, die auf betr\u00fcgerische Absichten hindeuten k\u00f6nnten, um so den Betrug zu verhindern. <\/li>\n<li><strong>Versicherungen:<\/strong> Auch bei Versicherungen findet die pr\u00e4diktive Analyse Anwendung, da sie dabei helfen kann, vorherzusagen, welche Kunden mit hoher Wahrscheinlichkeit einen Schadensfall melden werden. Dies kann genutzt werden, die H\u00f6he der Versicherungspr\u00e4mie festzulegen. <\/li>\n<li><strong>Einzelhandel:<\/strong> Ebenso kann die pr\u00e4diktive Analyse aber auch Einzelh\u00e4ndlern helfen, die Nachfrage nach Produkten vorherzusagen, um den Bestand entsprechend zu planen.<\/li>\n<\/ul>\n<\/div><\/div><div class=\"et_pb_text_6 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"4_Praskriptive_Analyse_%E2%80%93_Was_sollten_wir_als_nachstes_tun\"><\/span>4. Pr\u00e4skriptive Analyse \u2013 Was sollten wir als n\u00e4chstes tun?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Die pr\u00e4skriptive Analyse geht \u00fcber die Vorhersage hinaus und bietet Handlungsempfehlungen, um bestimmte Ziele zu erreichen. Durch die Analyse von verschiedenen Szenarien und das Testen von L\u00f6sungsans\u00e4tzen k\u00f6nnen Unternehmen optimale Entscheidungen treffen. Die Grundlage hierf\u00fcr bietet meist eine pr\u00e4diktive Analyse. Zusammen zeigen diese beiden Analysen also nicht nur, was in Zukunft wahrscheinlich passiert, sondern geben auch eine klare Empfehlung, wie damit umgegangen werden soll, um das gew\u00fcnschte Ergebnis zu erreichen. Die Pr\u00e4skriptive Analyse ist daher besonders n\u00fctzlich, um komplexe Probleme anzugehen und strategische Entscheidungen zu treffen.<\/p>\n<p><em>Beispiele<\/em> f\u00fcr die pr\u00e4skriptive Analyse erleben wir auch im Alltag:<\/p>\n<ul>\n<li><strong>Navigation:<\/strong> Viele Navigationssysteme empfehlen Fahrern aufgrund von Echtzeit-Verkehrsdaten, welche Route sie nehmen sollten, um beispielsweise schnellstm\u00f6glich am Ziel anzukommen.<\/li>\n<li><strong>Online-Shopping:<\/strong> Im Onlinehandel werden Kunden basierend auf ihren fr\u00fcheren Eink\u00e4ufen und Interessen weitere Produkte empfohlen.<\/li>\n<\/ul>\n<p>Die pr\u00e4skriptive Analyse kann aber auch eingesetzt werden, um Prozesse innerhalb von Unternehmen zu optimieren oder beispielsweise den Kundendienst zu verbessern.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_4 et_pb_row et_block_row\"><div class=\"et_pb_column_4 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_7 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Fazit\"><\/span>Fazit<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Die verschiedenen Arten der Datenanalyse bieten Unternehmen ganz unterschiedliche Einblicke in Ihre Daten und helfen Ihnen so dabei, verschiedene Fragestellungen zu beantworten und fundierte Entscheidungen zu treffen. W\u00e4hrend deskriptive Analysen die aktuelle Situation beschreiben und diagnostische Analysen die Ursachen von vergangenen Ereignissen erkl\u00e4ren, erm\u00f6glichen pr\u00e4diktive Analysen einen Blick in die Zukunft, indem sie Vorhersagen \u00fcber zuk\u00fcnftige Entwicklungen machen. Pr\u00e4skriptive Analysen gehen noch einen Schritt weiter und bieten klare Handlungsempfehlungen, um bestimmte Ziele zu erreichen. Durch die Kombination dieser Analysen erhalten Unternehmen einen umfassenden Einblick in ihre Daten und k\u00f6nnen strategische Entscheidungen treffen, um ihre Gesch\u00e4ftsziele zu erreichen.<\/p>\n<p>Mit Business Intelligence Software wie myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> k\u00f6nnen diese verschiedenen Arten der Datenanalyse effektiv genutzt werden. So bietet myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> Funktionen f\u00fcr die Datenvisualisierung und -analyse, beispielsweise mit Techniken wie Data Drilling oder Data Mining. Dadurch k\u00f6nnen Unternehmen ihre Daten effektiv nutzen und fundierte Entscheidungen treffen.\u00a0<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_5 et_pb_row et_block_row\"><div class=\"et_pb_column_5 et_pb_column et_pb_column_1_2 et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_8 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Weitere Informationen \u00fcber die Business Intelligence Software myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span>:<\/p>\n<\/div><\/div><div class=\"et_pb_module et_pb_button_module_wrapper et_pb_button_0_wrapper preset--module--divi-button--default_wrapper\"><a class=\"et_pb_button_0 et_pb_button et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-button--default\" href=\"https:\/\/parm.com\/myparm-bi\/\" target=\"_blank\">Mehr Infos<\/a><\/div><\/div><div class=\"et_pb_column_6 et_pb_column et_pb_column_1_2 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_9 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>M\u00f6chten Sie\u200b myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> in einer Demonstration kennenlernen? Dann vereinbaren Sie gleich einen Termin!<\/p>\n<\/div><\/div><div class=\"et_pb_module et_pb_button_module_wrapper et_pb_button_1_wrapper preset--module--divi-button--default_wrapper\"><a class=\"et_pb_button_1 et_pb_button et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-button--default\" href=\"https:\/\/calendly.com\/parmag\/myparm-biact-webdemo\" target=\"_blank\">Termin vereinbaren<\/a><\/div><\/div><\/div><div class=\"et_pb_row_6 et_pb_row et_block_row\"><div class=\"et_pb_column_7 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_code_1 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"shariff shariff-align-left shariff-widget-align-left\" style=\"display:none\"><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F\" title=\"Bei Facebook teilen\" aria-label=\"Bei Facebook teilen\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; background-color:#3b5998; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F\" title=\"Bei LinkedIn teilen\" aria-label=\"Bei LinkedIn teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button xing shariff-nocustomcolor\" style=\"background-color:#29888a\"><a href=\"https:\/\/www.xing.com\/spi\/shares\/new?url=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F\" title=\"Bei XING teilen\" aria-label=\"Bei XING teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#126567; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 25 32\"><path fill=\"#126567\" d=\"M10.7 11.9q-0.2 0.3-4.6 8.2-0.5 0.8-1.2 0.8h-4.3q-0.4 0-0.5-0.3t0-0.6l4.5-8q0 0 0 0l-2.9-5q-0.2-0.4 0-0.7 0.2-0.3 0.5-0.3h4.3q0.7 0 1.2 0.8zM25.1 0.4q0.2 0.3 0 0.7l-9.4 16.7 6 11q0.2 0.4 0 0.6-0.2 0.3-0.6 0.3h-4.3q-0.7 0-1.2-0.8l-6-11.1q0.3-0.6 9.5-16.8 0.4-0.8 1.2-0.8h4.3q0.4 0 0.5 0.3z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Fparm.com%2Fpl%2Feverything-you-need-to-know-about-the-4-types-of-data-analysis%2F&subject=Everything%20you%20need%20to%20know%20about%20the%204%20types%20of%20data%20analysis\" title=\"Per E-Mail versenden\" aria-label=\"Per E-Mail versenden\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"et_pb_section_1 et_pb_section et_section_regular et_block_section\"><div class=\"et_pb_row_7 et_pb_row et_block_row\"><div class=\"et_pb_column_8 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_code_2 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><!-- Begin Sendinblue Form -->\n<!-- START - We recommend to place the below code in head tag of your website html -->\n<style>\n  @font-face {\n    font-display: block;\n    font-family: Roboto;\n    src: url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/normal\/normal\/7529907e9eaf8ebb5220c5f9850e3811.woff2) format(\"woff2\"), url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/normal\/normal\/25c678feafdc175a70922a116c9be3e7.woff) format(\"woff\")\n  }\n\n  @font-face {\n    font-display: fallback;\n    font-family: Roboto;\n    font-weight: 600;\n    src: url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/medium\/normal\/6e9caeeafb1f3491be3e32744bc30440.woff2) format(\"woff2\"), url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/medium\/normal\/71501f0d8d5aa95960f6475d5487d4c2.woff) format(\"woff\")\n  }\n\n  @font-face {\n    font-display: fallback;\n    font-family: Roboto;\n    font-weight: 700;\n    src: url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/bold\/normal\/3ef7cf158f310cf752d5ad08cd0e7e60.woff2) format(\"woff2\"), url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/bold\/normal\/ece3a1d82f18b60bcce0211725c476aa.woff) format(\"woff\")\n  }\n\n  #sib-container input:-ms-input-placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n\n  #sib-container input::placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n\n  #sib-container textarea::placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n<\/style>\n<link rel=\"stylesheet\" href=\"https:\/\/sibforms.com\/forms\/end-form\/build\/sib-styles.css\">\n<!-- END - We recommend to place the above code in head tag of your website html -->\n\n<!-- START - We recommend to place the below code where you want the form in your website html -->\n<div class=\"sib-form\" style=\"text-align: center;\n         background-color: transparent;                                 \">\n  <div id=\"sib-form-container\" class=\"sib-form-container\">\n    <div id=\"error-message\" class=\"sib-form-message-panel\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n      <div class=\"sib-form-message-panel__text sib-form-message-panel__text--center\">\n        <svg viewbox=\"0 0 512 512\" class=\"sib-icon sib-notification__icon\">\n          <path d=\"M256 40c118.621 0 216 96.075 216 216 0 119.291-96.61 216-216 216-119.244 0-216-96.562-216-216 0-119.203 96.602-216 216-216m0-32C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm-11.49 120h22.979c6.823 0 12.274 5.682 11.99 12.5l-7 168c-.268 6.428-5.556 11.5-11.99 11.5h-8.979c-6.433 0-11.722-5.073-11.99-11.5l-7-168c-.283-6.818 5.167-12.5 11.99-12.5zM256 340c-15.464 0-28 12.536-28 28s12.536 28 28 28 28-12.536 28-28-12.536-28-28-28z\"\/>\n        <\/svg>\n        <span class=\"sib-form-message-panel__inner-text\">\n Ihre Anmeldung konnte nicht gespeichert werden. Bitte versuchen Sie es erneut.\n                      <\/span>\n      <\/div>\n    <\/div>\n    <div><\/div>\n    <div id=\"success-message\" class=\"sib-form-message-panel\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n      <div class=\"sib-form-message-panel__text sib-form-message-panel__text--center\">\n        <svg viewbox=\"0 0 512 512\" class=\"sib-icon sib-notification__icon\">\n          <path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm0 464c-118.664 0-216-96.055-216-216 0-118.663 96.055-216 216-216 118.664 0 216 96.055 216 216 0 118.663-96.055 216-216 216zm141.63-274.961L217.15 376.071c-4.705 4.667-12.303 4.637-16.97-.068l-85.878-86.572c-4.667-4.705-4.637-12.303.068-16.97l8.52-8.451c4.705-4.667 12.303-4.637 16.97.068l68.976 69.533 163.441-162.13c4.705-4.667 12.303-4.637 16.97.068l8.451 8.52c4.668 4.705 4.637 12.303-.068 16.97z\"\/>\n        <\/svg>\n        <span class=\"sib-form-message-panel__inner-text\">\n Ihre Anmeldung war erfolgreich. Bitte sehen Sie in Ihr Postfach und best\u00e4tigen Sie Ihre Anmeldung. Sollte keine Nachricht ankommen, sehen Sie bitte in Ihren Spam-Ordner. Vielen Dank!\n                      <\/span>\n      <\/div>\n    <\/div>\n    <div><\/div>\n    <div id=\"sib-container\" class=\"sib-container--large sib-container--vertical\" style=\"text-align:center; background-color:rgba(27,62,144,1); max-width:1080px; border-radius:3px; border-width:0px; border-color:#C0CCD9; border-style:solid;\">\n      <form id=\"sib-form\" method=\"POST\" action=\"https:\/\/272a17fd.sibforms.com\/serve\/MUIEAOo1vFGWS7d0cvncbnGo6ZIm0MV83UA-ApqLz0GJgUd38j-GsNKlhCPZ1kVJVEGx5yChU7xjEUZEVAhHli4H01njDJsY0TOLof7HNzi7lZJvWMes1-Je1GVxivY9c8XrMzqbTrnQ9SuHnjhsRe5vXL8U5STdopGqk00vm6RWgZiOpVABZMg1kUY8-KjUWzt-Tpk5-zC9XQ2j\" data-type=\"subscription\">\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-form-block\" style=\"font-size:32px; text-align:left; font-weight:700; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:transparent=\"\">\n            <p>Newsletter<\/p>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-form-block\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:transparent=\"\">\n            <div class=\"sib-text-form-block\">\n              <p>Melden Sie sich zu unserem monatlichen Newsletter an und werden Sie \u00fcber Produkte der Parm AG, Neuheiten, Trends im Projektmanagement sowie Angebote und Veranstaltungen informiert.<\/p>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-input sib-form-block\">\n            <div class=\"form__entry entry_block\">\n              <div class=\"form__label-row \">\n\n                <div class=\"entry__field\">\n                  <input class=\"input\" type=\"text\" id=\"EMAIL\" name=\"EMAIL\" autocomplete=\"off\" placeholder=\"EMAIL\" data-required=\"true\" required=\"\">\n                <\/div>\n              <\/div>\n\n              <label class=\"entry__error entry__error--primary\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n              <\/label>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-optin sib-form-block\" data-required=\"true\">\n            <div class=\"form__entry entry_mcq\">\n              <div class=\"form__label-row \">\n                <div class=\"entry__choice\">\n                  <label>\n                    <input type=\"checkbox\" class=\"input_replaced\" value=\"1\" id=\"OPT_IN\" name=\"OPT_IN\" required=\"\">\n                    <span class=\"checkbox checkbox_tick_positive\"><\/span><span style=\"font-size:14px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:transparent=\"\"><p>Ich bin damit einverstanden, dass der Newsletter individuell auf meine Interessen abgestimmt wird. Zu diesem Zweck gestatte ich der Parm AG mein \u00d6ffnungs-, Klick- und Downloadverhalten im Newsetter zu analysieren und ein personenbezogenes Nutzerprofil von mir zu erstellen. Die <a href=\"https:\/\/parm.com\/datenschutzerklaerung\" target=\"_blank\" rel=\"noopener\">Datenschutzerkl\u00e4rung <\/a>habe ich gelesen und akzeptiere diese. Die Abmeldung vom Newsletter ist jederzeit m\u00f6glich.<\/p><span data-required=\"*\" style=\"display: inline;\" class=\"entry__label entry__label_optin\"><\/span><\/span> <\/label>\n                <\/div>\n              <\/div>\n              <label class=\"entry__error entry__error--primary\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n              <\/label>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"g-recaptcha\" data-sitekey=\"6LdyzNAcAAAAANv3WwEWU18I26AH-2q2CcQ6eQUk\" data-callback=\"invisibleCaptchaCallback\" data-size=\"invisible\" onclick=\"executeCaptcha\"><\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-form-block\" style=\"text-align: left\">\n            <button class=\"sib-form-block__button sib-form-block__button-with-loader\" style=\"font-size:16px; text-align:left; font-weight:700; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-width:0px=\"\" form=\"sib-form\" type=\"submit\">\n              <svg class=\"icon clickable__icon progress-indicator__icon sib-hide-loader-icon\" viewbox=\"0 0 512 512\">\n                <path d=\"M460.116 373.846l-20.823-12.022c-5.541-3.199-7.54-10.159-4.663-15.874 30.137-59.886 28.343-131.652-5.386-189.946-33.641-58.394-94.896-95.833-161.827-99.676C261.028 55.961 256 50.751 256 44.352V20.309c0-6.904 5.808-12.337 12.703-11.982 83.556 4.306 160.163 50.864 202.11 123.677 42.063 72.696 44.079 162.316 6.031 236.832-3.14 6.148-10.75 8.461-16.728 5.01z\"\/>\n              <\/svg>\n ANMELDEN\n            <\/button>\n          <\/div>\n        <\/div>\n\n        <input type=\"text\" name=\"email_address_check\" value=\"\" class=\"input--hidden\">\n        <input type=\"hidden\" name=\"locale\" value=\"de\">\n      <\/form>\n    <\/div>\n  <\/div>\n<\/div>\n<!-- END - We recommend to place the below code where you want the form in your website html -->\n\n<!-- START - We recommend to place the below code in footer or bottom of your website html -->\n<script>\n  window.REQUIRED_CODE_ERROR_MESSAGE = 'W\u00e4hlen Sie bitte einen L\u00e4ndervorwahl aus.';\n  window.LOCALE = 'de';\n  window.EMAIL_INVALID_MESSAGE = window.SMS_INVALID_MESSAGE = \"Die eingegebenen Informationen sind nicht g\u00fcltig. Bitte \u00fcberpr\u00fcfen Sie die Felder und versuchen Sie es erneut.\";\n\n  window.REQUIRED_ERROR_MESSAGE = \"Dieses Feld darf nicht leer sein. \";\n\n  window.GENERIC_INVALID_MESSAGE = \"Die eingegebenen Informationen sind nicht g\u00fcltig. Bitte \u00fcberpr\u00fcfen Sie die Felder und versuchen Sie es erneut.\";\n\n\n\n\n  window.translation = {\n    common: {\n      selectedList: '{quantity} Liste ausgew\u00e4hlt',\n      selectedLists: '{quantity} Listen ausgew\u00e4hlt'\n    }\n  };\n\n  var AUTOHIDE = Boolean(0);\n<\/script>\n<script src=\"https:\/\/sibforms.com\/forms\/end-form\/build\/main.js\"><\/script>\n\n<script src=\"https:\/\/www.google.com\/recaptcha\/api.js?hl=de\"><\/script>\n\n<!-- END - We recommend to place the above code in footer or bottom of your website html -->\n<!-- End Sendinblue Form --><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>To delve deeper into company data, gain valuable insights, and make informed decisions, many companies use business intelligence software. We explain how and what you can use the four basic types of data analysis &#8211; descriptive, diagnostic, predictive, and prescriptive &#8211; for. <\/p>\n","protected":false},"author":1,"featured_media":255764,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1255],"tags":[1260,1261],"class_list":["post-255763","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi","tag-bi","tag-business-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Everything you need to know about the 4 types of data analysis | Parm AG<\/title>\n<meta name=\"description\" content=\"We explain the four main types of data analysis, descriptive, diagnostic, predictive, and prescriptive data analysis, and how you can use them.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Everything you need to know about the 4 types of data analysis\" \/>\n<meta property=\"og:description\" content=\"To delve deeper into company data, gain valuable insights, and make informed decisions, many companies use business intelligence software. We explain how and what you can use the four basic types of data analysis - descriptive, diagnostic, predictive, and prescriptive - for. Find out in the blog post: How to understand current situations or historical events, how you can uncover the causes of problems, how you can predict what will happen in the future and what recommendations for action can be derived from the analyses.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"Parm AG\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/myparm\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-03T08:46:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-28T11:04:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-1024x538.jpg\" \/>\n<meta name=\"author\" content=\"Natascha Schleutker\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Everything you need to know about the 4 types of data analysis\" \/>\n<meta name=\"twitter:description\" content=\"To delve deeper into company data, gain valuable insights, and make informed decisions, many companies use business intelligence software. We explain how and what you can use the four basic types of data analysis - descriptive, diagnostic, predictive, and prescriptive - for. Find out in the blog post: How to understand current situations or historical events, how you can uncover the causes of problems, how you can predict what will happen in the future and what recommendations for action can be derived from the analyses.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-1024x538.jpg\" \/>\n<meta name=\"twitter:label1\" content=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"Natascha Schleutker\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/\"},\"author\":{\"name\":\"Natascha Schleutker\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#\\\/schema\\\/person\\\/c24699ce0d4e2f1a102409a36cc80953\"},\"headline\":\"Everything you need to know about the 4 types of data analysis\",\"datePublished\":\"2024-04-03T08:46:11+00:00\",\"dateModified\":\"2026-07-28T11:04:33+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/\"},\"wordCount\":11,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2024\\\/04\\\/Post_Data_analysis_types_EN.jpg\",\"keywords\":[\"BI\",\"Business Intelligence\"],\"articleSection\":[\"Business Intelligence\"],\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/\",\"url\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/\",\"name\":\"Everything you need to know about the 4 types of data analysis | Parm AG\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2024\\\/04\\\/Post_Data_analysis_types_EN.jpg\",\"datePublished\":\"2024-04-03T08:46:11+00:00\",\"dateModified\":\"2026-07-28T11:04:33+00:00\",\"description\":\"We explain the four main types of data analysis, descriptive, diagnostic, predictive, and prescriptive data analysis, and how you can use them.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#primaryimage\",\"url\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2024\\\/04\\\/Post_Data_analysis_types_EN.jpg\",\"contentUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2024\\\/04\\\/Post_Data_analysis_types_EN.jpg\",\"width\":2500,\"height\":1313,\"caption\":\"4 types of data analysis\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/everything-you-need-to-know-about-the-4-types-of-data-analysis\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\\\/\\\/parm.com\\\/pl\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Everything you need to know about the 4 types of data analysis\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#website\",\"url\":\"https:\\\/\\\/parm.com\\\/pl\\\/\",\"name\":\"Parm AG\",\"description\":\"Successful projects. Swiss quality. Software f\u00fcr Projektmanagement\",\"publisher\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#organization\"},\"alternateName\":\"Parm\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/parm.com\\\/pl\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#organization\",\"name\":\"Parm AG\",\"alternateName\":\"Parm\",\"url\":\"https:\\\/\\\/parm.com\\\/pl\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/Parm_Logo_blue_RGB.png\",\"contentUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/Parm_Logo_blue_RGB.png\",\"width\":908,\"height\":228,\"caption\":\"Parm AG\"},\"image\":{\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/myparm\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/parm-ag\",\"https:\\\/\\\/www.xing.com\\\/pages\\\/parmag\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/parm.com\\\/pl\\\/#\\\/schema\\\/person\\\/c24699ce0d4e2f1a102409a36cc80953\",\"name\":\"Natascha Schleutker\",\"sameAs\":[\"https:\\\/\\\/parm.com\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Everything you need to know about the 4 types of data analysis | Parm AG","description":"We explain the four main types of data analysis, descriptive, diagnostic, predictive, and prescriptive data analysis, and how you can use them.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/","og_locale":"pl_PL","og_type":"article","og_title":"Everything you need to know about the 4 types of data analysis","og_description":"To delve deeper into company data, gain valuable insights, and make informed decisions, many companies use business intelligence software. We explain how and what you can use the four basic types of data analysis - descriptive, diagnostic, predictive, and prescriptive - for. Find out in the blog post: How to understand current situations or historical events, how you can uncover the causes of problems, how you can predict what will happen in the future and what recommendations for action can be derived from the analyses.","og_url":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/","og_site_name":"Parm AG","article_publisher":"https:\/\/www.facebook.com\/myparm","article_published_time":"2024-04-03T08:46:11+00:00","article_modified_time":"2026-07-28T11:04:33+00:00","og_image":[{"url":"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-1024x538.jpg","type":"","width":"","height":""}],"author":"Natascha Schleutker","twitter_card":"summary_large_image","twitter_title":"Everything you need to know about the 4 types of data analysis","twitter_description":"To delve deeper into company data, gain valuable insights, and make informed decisions, many companies use business intelligence software. We explain how and what you can use the four basic types of data analysis - descriptive, diagnostic, predictive, and prescriptive - for. Find out in the blog post: How to understand current situations or historical events, how you can uncover the causes of problems, how you can predict what will happen in the future and what recommendations for action can be derived from the analyses.","twitter_image":"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN-1024x538.jpg","twitter_misc":{"Napisane przez":"Natascha Schleutker"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#article","isPartOf":{"@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/"},"author":{"name":"Natascha Schleutker","@id":"https:\/\/parm.com\/pl\/#\/schema\/person\/c24699ce0d4e2f1a102409a36cc80953"},"headline":"Everything you need to know about the 4 types of data analysis","datePublished":"2024-04-03T08:46:11+00:00","dateModified":"2026-07-28T11:04:33+00:00","mainEntityOfPage":{"@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/"},"wordCount":11,"commentCount":0,"publisher":{"@id":"https:\/\/parm.com\/pl\/#organization"},"image":{"@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#primaryimage"},"thumbnailUrl":"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN.jpg","keywords":["BI","Business Intelligence"],"articleSection":["Business Intelligence"],"inLanguage":"pl-PL","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/","url":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/","name":"Everything you need to know about the 4 types of data analysis | Parm AG","isPartOf":{"@id":"https:\/\/parm.com\/pl\/#website"},"primaryImageOfPage":{"@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#primaryimage"},"image":{"@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#primaryimage"},"thumbnailUrl":"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN.jpg","datePublished":"2024-04-03T08:46:11+00:00","dateModified":"2026-07-28T11:04:33+00:00","description":"We explain the four main types of data analysis, descriptive, diagnostic, predictive, and prescriptive data analysis, and how you can use them.","breadcrumb":{"@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#breadcrumb"},"inLanguage":"pl-PL","potentialAction":[{"@type":"ReadAction","target":["https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/"]}]},{"@type":"ImageObject","inLanguage":"pl-PL","@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#primaryimage","url":"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN.jpg","contentUrl":"https:\/\/parm.com\/wp-content\/uploads\/2024\/04\/Post_Data_analysis_types_EN.jpg","width":2500,"height":1313,"caption":"4 types of data analysis"},{"@type":"BreadcrumbList","@id":"https:\/\/parm.com\/pl\/everything-you-need-to-know-about-the-4-types-of-data-analysis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/parm.com\/pl\/"},{"@type":"ListItem","position":2,"name":"Everything you need to know about the 4 types of data analysis"}]},{"@type":"WebSite","@id":"https:\/\/parm.com\/pl\/#website","url":"https:\/\/parm.com\/pl\/","name":"Parm AG","description":"Successful projects. Swiss quality. Software f\u00fcr Projektmanagement","publisher":{"@id":"https:\/\/parm.com\/pl\/#organization"},"alternateName":"Parm","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/parm.com\/pl\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pl-PL"},{"@type":"Organization","@id":"https:\/\/parm.com\/pl\/#organization","name":"Parm AG","alternateName":"Parm","url":"https:\/\/parm.com\/pl\/","logo":{"@type":"ImageObject","inLanguage":"pl-PL","@id":"https:\/\/parm.com\/pl\/#\/schema\/logo\/image\/","url":"https:\/\/parm.com\/wp-content\/uploads\/2021\/11\/Parm_Logo_blue_RGB.png","contentUrl":"https:\/\/parm.com\/wp-content\/uploads\/2021\/11\/Parm_Logo_blue_RGB.png","width":908,"height":228,"caption":"Parm AG"},"image":{"@id":"https:\/\/parm.com\/pl\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/myparm","https:\/\/www.linkedin.com\/company\/parm-ag","https:\/\/www.xing.com\/pages\/parmag"]},{"@type":"Person","@id":"https:\/\/parm.com\/pl\/#\/schema\/person\/c24699ce0d4e2f1a102409a36cc80953","name":"Natascha Schleutker","sameAs":["https:\/\/parm.com"]}]}},"_links":{"self":[{"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/posts\/255763","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/comments?post=255763"}],"version-history":[{"count":4,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/posts\/255763\/revisions"}],"predecessor-version":[{"id":255883,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/posts\/255763\/revisions\/255883"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/media\/255764"}],"wp:attachment":[{"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/media?parent=255763"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/categories?post=255763"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/parm.com\/pl\/wp-json\/wp\/v2\/tags?post=255763"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}