{"id":1601,"date":"2022-06-21T12:56:09","date_gmt":"2022-06-21T12:56:09","guid":{"rendered":"http:\/\/causal-discovery.blog\/?page_id=1601"},"modified":"2026-02-03T14:14:29","modified_gmt":"2026-02-03T14:14:29","slug":"start-de","status":"publish","type":"page","link":"https:\/\/xplain-data.de\/de\/","title":{"rendered":"Start"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_separator color=&#8220;custom&#8220; accent_color=&#8220;#579999&#8243;]<style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.blog-carousel-shortcode.blog-carousel-shortcode-id-1e752af79cb8f2a9e7f3b907e45e8aa8.dividers-on.classic-layout-list article {\n  padding-top: 0;\n}\n.blog-carousel-shortcode.blog-carousel-shortcode-id-1e752af79cb8f2a9e7f3b907e45e8aa8.dividers-on.classic-layout-list article:first-of-type {\n  margin-top: 0;\n  padding-top: 0;\n}\n.blog-carousel-shortcode.blog-carousel-shortcode-id-1e752af79cb8f2a9e7f3b907e45e8aa8.classic-layout-list.mode-list 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data-v-tablet-columns-num=\"2\" data-phone-columns-num=\"1\" data-auto-height=\"true\" data-col-gap=\"30\" data-stage-padding=\"0\" data-speed=\"600\" data-autoplay=\"true\" data-autoplay_speed=\"6000\" data-arrows=\"true\" data-bullet=\"false\" data-next-icon=\"icon-ar-017-r\" data-prev-icon=\"icon-ar-017-l\"><article class=\"post post-7318 type-post status-publish format-standard has-post-thumbnail hentry category-press-release tag-dafire tag-forschungsprojekt category-56\" data-name=\"Xplain Data: Forschungsprojekt DaFIRe f\u00fcr intelligentes Elektronik-Remanufacturing\" data-date=\"2026-02-16T14:33:28+00:00\">\n\n<div class=\"post-thumbnail-wrap\">\n\t<div class=\"post-thumbnail\">\n\t\t\n\t\t\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-forschungsprojekt-dafire-intelligentes-elektronik-remanufacturing\/\" class=\"post-thumbnail-rollover layzr-bg\" ><img fetchpriority=\"high\" decoding=\"async\" class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20768%20512&#39;%2F%3E\" data-src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg\" data-srcset=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg 768w, https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-1152x768.jpg 1152w\" loading=\"eager\" style=\"--ratio: 768 \/ 512\" sizes=\"(max-width: 768px) 100vw, 768px\" alt=\"\"  width=\"768\" height=\"512\"  \/><\/a>\t<\/div>\n<\/div>\n\n\n<div class=\"post-entry-content\">\n\n\t<h3 class=\"entry-title\">\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-forschungsprojekt-dafire-intelligentes-elektronik-remanufacturing\/\" title=\"Xplain Data: Forschungsprojekt DaFIRe f\u00fcr intelligentes Elektronik-Remanufacturing\" rel=\"bookmark\">Xplain Data: Forschungsprojekt DaFIRe f\u00fcr intelligentes Elektronik-Remanufacturing<\/a>\n\t<\/h3>\n\n\t<div class=\"entry-meta\"><a href=\"https:\/\/xplain-data.de\/de\/2026\/02\/16\/\" title=\"14:33\" class=\"data-link\" rel=\"bookmark\"><time class=\"entry-date updated\" datetime=\"2026-02-16T14:33:28+00:00\">16. Februar 2026<\/time><\/a><\/div>\n\t<div class=\"entry-excerpt\"><p>Die Xplain Data GmbH treibt gemeinsam mit dem Karlsruher Institut f\u00fcr Technologie (KIT), der Siemens AG und der Carrybots GmbH&hellip;<\/p>\n<\/div>\n\t\n<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-forschungsprojekt-dafire-intelligentes-elektronik-remanufacturing\/\" class=\"post-details details-type-link\" aria-label=\"Read more about Xplain Data: Forschungsprojekt DaFIRe f\u00fcr intelligentes Elektronik-Remanufacturing\">Mehr lesen<i class=\"dt-icon-the7-arrow-03\" aria-hidden=\"true\"><\/i><\/a>\n\n<\/div><\/article><article class=\"post post-7303 type-post status-publish format-standard has-post-thumbnail hentry category-press-release tag-aok-nw tag-data-analytics tag-gfl category-56\" data-name=\"Von deskriptiver Auswertung zu Causal Discovery: GFL Datalytics Xplain Suite bei AOK NordWest\" data-date=\"2026-02-12T07:59:22+00:00\">\n\n<div class=\"post-thumbnail-wrap\">\n\t<div class=\"post-thumbnail\">\n\t\t\n\t\t\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/von-deskriptiver-auswertung-zu-ursache-wirkung-bei-aok-nordwest\/\" class=\"post-thumbnail-rollover layzr-bg\" ><img fetchpriority=\"high\" decoding=\"async\" class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20768%20512&#39;%2F%3E\" data-src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg\" data-srcset=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg 768w, https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-1152x768.jpg 1152w\" loading=\"eager\" style=\"--ratio: 768 \/ 512\" sizes=\"(max-width: 768px) 100vw, 768px\" alt=\"\"  width=\"768\" height=\"512\"  \/><\/a>\t<\/div>\n<\/div>\n\n\n<div class=\"post-entry-content\">\n\n\t<h3 class=\"entry-title\">\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/von-deskriptiver-auswertung-zu-ursache-wirkung-bei-aok-nordwest\/\" title=\"Von deskriptiver Auswertung zu Causal Discovery: GFL Datalytics Xplain Suite bei AOK NordWest\" rel=\"bookmark\">Von deskriptiver Auswertung zu Causal Discovery: GFL Datalytics Xplain Suite bei AOK NordWest<\/a>\n\t<\/h3>\n\n\t<div class=\"entry-meta\"><a href=\"https:\/\/xplain-data.de\/de\/2026\/02\/12\/\" title=\"7:59\" class=\"data-link\" rel=\"bookmark\"><time class=\"entry-date updated\" datetime=\"2026-02-12T07:59:22+00:00\">12. Februar 2026<\/time><\/a><\/div>\n\t<div class=\"entry-excerpt\"><p>Im Rahmen der langj\u00e4hrigen Xplain Data Partnerschaft mit den Gesundheitsforen Leipzig (GFL) bildet unsere patentierte Daten-Plattform ObjectAnalytics die technologische Grundlage&hellip;<\/p>\n<\/div>\n\t\n<a href=\"https:\/\/xplain-data.de\/de\/von-deskriptiver-auswertung-zu-ursache-wirkung-bei-aok-nordwest\/\" class=\"post-details details-type-link\" aria-label=\"Read more about Von deskriptiver Auswertung zu Causal Discovery: GFL Datalytics Xplain Suite bei AOK NordWest\">Mehr lesen<i class=\"dt-icon-the7-arrow-03\" aria-hidden=\"true\"><\/i><\/a>\n\n<\/div><\/article><article class=\"post post-7190 type-post status-publish format-standard has-post-thumbnail hentry category-press-release category-56\" data-name=\"Xplain Data wird Mitglied im Fachverband Elektronikdesign und -fertigung e. V. (FED)\" data-date=\"2026-01-22T11:26:08+00:00\">\n\n<div class=\"post-thumbnail-wrap\">\n\t<div class=\"post-thumbnail\">\n\t\t\n\t\t\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-tritt-fachverband-elektronikdesign-und-fertigung-bei\/\" class=\"post-thumbnail-rollover layzr-bg\" ><img fetchpriority=\"high\" decoding=\"async\" class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20768%20512&#39;%2F%3E\" data-src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg\" data-srcset=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg 768w, https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-1152x768.jpg 1152w\" loading=\"eager\" style=\"--ratio: 768 \/ 512\" sizes=\"(max-width: 768px) 100vw, 768px\" alt=\"\"  width=\"768\" height=\"512\"  \/><\/a>\t<\/div>\n<\/div>\n\n\n<div class=\"post-entry-content\">\n\n\t<h3 class=\"entry-title\">\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-tritt-fachverband-elektronikdesign-und-fertigung-bei\/\" title=\"Xplain Data wird Mitglied im Fachverband Elektronikdesign und -fertigung e. V. (FED)\" rel=\"bookmark\">Xplain Data wird Mitglied im Fachverband Elektronikdesign und -fertigung e. V. (FED)<\/a>\n\t<\/h3>\n\n\t<div class=\"entry-meta\"><a href=\"https:\/\/xplain-data.de\/de\/2026\/01\/22\/\" title=\"11:26\" class=\"data-link\" rel=\"bookmark\"><time class=\"entry-date updated\" datetime=\"2026-01-22T11:26:08+00:00\">22. Januar 2026<\/time><\/a><\/div>\n\t<div class=\"entry-excerpt\"><p>Xplain Data ist ab sofort Mitglied im Fachverband f\u00fcr Design, Leiterplatten- und Elektronik (FED). Mit dem Beitritt zum f\u00fchrenden Branchenverband&hellip;<\/p>\n<\/div>\n\t\n<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-tritt-fachverband-elektronikdesign-und-fertigung-bei\/\" class=\"post-details details-type-link\" aria-label=\"Read more about Xplain Data wird Mitglied im Fachverband Elektronikdesign und -fertigung e. V. (FED)\">Mehr lesen<i class=\"dt-icon-the7-arrow-03\" aria-hidden=\"true\"><\/i><\/a>\n\n<\/div><\/article><article class=\"post post-7178 type-post status-publish format-standard has-post-thumbnail hentry category-press-release tag-electrotec-pioneer-award category-56\" data-name=\"Xplain Data nominiert f\u00fcr den ElectroTEC Pioneer Award \u2013 Jetzt abstimmen!\" data-date=\"2026-01-21T10:05:23+00:00\">\n\n<div class=\"post-thumbnail-wrap\">\n\t<div class=\"post-thumbnail\">\n\t\t\n\t\t\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-nominiert-fuer-electrotec-pioneer-award\/\" class=\"post-thumbnail-rollover layzr-bg\" ><img fetchpriority=\"high\" decoding=\"async\" class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20768%20512&#39;%2F%3E\" data-src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg\" data-srcset=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg 768w, https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-1152x768.jpg 1152w\" loading=\"eager\" style=\"--ratio: 768 \/ 512\" sizes=\"(max-width: 768px) 100vw, 768px\" alt=\"\"  width=\"768\" height=\"512\"  \/><\/a>\t<\/div>\n<\/div>\n\n\n<div class=\"post-entry-content\">\n\n\t<h3 class=\"entry-title\">\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-nominiert-fuer-electrotec-pioneer-award\/\" title=\"Xplain Data nominiert f\u00fcr den ElectroTEC Pioneer Award \u2013 Jetzt abstimmen!\" rel=\"bookmark\">Xplain Data nominiert f\u00fcr den ElectroTEC Pioneer Award \u2013 Jetzt abstimmen!<\/a>\n\t<\/h3>\n\n\t<div class=\"entry-meta\"><a href=\"https:\/\/xplain-data.de\/de\/2026\/01\/21\/\" title=\"10:05\" class=\"data-link\" rel=\"bookmark\"><time class=\"entry-date updated\" datetime=\"2026-01-21T10:05:23+00:00\">21. Januar 2026<\/time><\/a><\/div>\n\t<div class=\"entry-excerpt\"><p>Der ElectroTEC Pioneer Award z\u00e4hlt zu den wichtigsten Auszeichnungen f\u00fcr innovative Technologien und zukunftsweisende L\u00f6sungen in der Elektronikbranche. Verliehen wird&hellip;<\/p>\n<\/div>\n\t\n<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-nominiert-fuer-electrotec-pioneer-award\/\" class=\"post-details details-type-link\" aria-label=\"Read more about Xplain Data nominiert f\u00fcr den ElectroTEC Pioneer Award \u2013 Jetzt abstimmen!\">Mehr lesen<i class=\"dt-icon-the7-arrow-03\" aria-hidden=\"true\"><\/i><\/a>\n\n<\/div><\/article><article class=\"post post-7164 type-post status-publish format-standard has-post-thumbnail hentry category-press-release tag-epp-forum category-56\" data-name=\"EVENT: Xplain Data Premi\u00e8re auf dem EPP InnovationsFORUM 15.4.2026, B\u00f6blingen\" data-date=\"2026-01-15T15:35:59+00:00\">\n\n<div class=\"post-thumbnail-wrap\">\n\t<div class=\"post-thumbnail\">\n\t\t\n\t\t\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-erstmals-aussteller-epp-innovationsforum\/\" class=\"post-thumbnail-rollover layzr-bg\" ><img fetchpriority=\"high\" decoding=\"async\" class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20768%20512&#39;%2F%3E\" data-src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg\" data-srcset=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg 768w, https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-1152x768.jpg 1152w\" loading=\"eager\" style=\"--ratio: 768 \/ 512\" sizes=\"(max-width: 768px) 100vw, 768px\" alt=\"\"  width=\"768\" height=\"512\"  \/><\/a>\t<\/div>\n<\/div>\n\n\n<div class=\"post-entry-content\">\n\n\t<h3 class=\"entry-title\">\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-erstmals-aussteller-epp-innovationsforum\/\" title=\"EVENT: Xplain Data Premi\u00e8re auf dem EPP InnovationsFORUM 15.4.2026, B\u00f6blingen\" rel=\"bookmark\">EVENT: Xplain Data Premi\u00e8re auf dem EPP InnovationsFORUM 15.4.2026, B\u00f6blingen<\/a>\n\t<\/h3>\n\n\t<div class=\"entry-meta\"><a href=\"https:\/\/xplain-data.de\/de\/2026\/01\/15\/\" title=\"15:35\" class=\"data-link\" rel=\"bookmark\"><time class=\"entry-date updated\" datetime=\"2026-01-15T15:35:59+00:00\">15. Januar 2026<\/time><\/a><\/div>\n\t<div class=\"entry-excerpt\"><p>Xplain Data ist am 15. April 2026 erstmals als Aussteller auf dem EPP InnovationsFORUM Deutschland vertreten. Unter dem Motto \u201eWettbewerbsf\u00e4hige&hellip;<\/p>\n<\/div>\n\t\n<a href=\"https:\/\/xplain-data.de\/de\/xplain-data-erstmals-aussteller-epp-innovationsforum\/\" class=\"post-details details-type-link\" aria-label=\"Read more about EVENT: Xplain Data Premi\u00e8re auf dem EPP InnovationsFORUM 15.4.2026, B\u00f6blingen\">Mehr lesen<i class=\"dt-icon-the7-arrow-03\" aria-hidden=\"true\"><\/i><\/a>\n\n<\/div><\/article><article class=\"post post-7137 type-post status-publish format-standard has-post-thumbnail hentry category-press-release category-56\" data-name=\"Pressemitteilung: Stand von KI und Digitalisierung in der Elektronikproduktion\" data-date=\"2026-01-13T11:23:55+00:00\">\n\n<div class=\"post-thumbnail-wrap\">\n\t<div class=\"post-thumbnail\">\n\t\t\n\t\t\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/ergebnisse-umfrage-ki-und-analytics-elektronikproduktion\/\" class=\"post-thumbnail-rollover layzr-bg\" ><img fetchpriority=\"high\" decoding=\"async\" class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20768%20512&#39;%2F%3E\" data-src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg\" data-srcset=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-768x512.jpg 768w, https:\/\/xplain-data.de\/wp-content\/uploads\/2021\/12\/news-standard-1152x768.jpg 1152w\" loading=\"eager\" style=\"--ratio: 768 \/ 512\" sizes=\"(max-width: 768px) 100vw, 768px\" alt=\"\"  width=\"768\" height=\"512\"  \/><\/a>\t<\/div>\n<\/div>\n\n\n<div class=\"post-entry-content\">\n\n\t<h3 class=\"entry-title\">\n\t\t<a href=\"https:\/\/xplain-data.de\/de\/ergebnisse-umfrage-ki-und-analytics-elektronikproduktion\/\" title=\"Pressemitteilung: Stand von KI und Digitalisierung in der Elektronikproduktion\" rel=\"bookmark\">Pressemitteilung: Stand von KI und Digitalisierung in der Elektronikproduktion<\/a>\n\t<\/h3>\n\n\t<div class=\"entry-meta\"><a href=\"https:\/\/xplain-data.de\/de\/2026\/01\/13\/\" title=\"11:23\" class=\"data-link\" rel=\"bookmark\"><time class=\"entry-date updated\" datetime=\"2026-01-13T11:23:55+00:00\">13. Januar 2026<\/time><\/a><\/div>\n\t<div class=\"entry-excerpt\"><p>Hanau\/Zorneding, 13. Januar 2026 \u2013 KI und Digitalisierung in der Elektronikfertigung: Ergebnisse der aktuellen Umfrage Wie weit ist die Elektronikfertigung&hellip;<\/p>\n<\/div>\n\t\n<a href=\"https:\/\/xplain-data.de\/de\/ergebnisse-umfrage-ki-und-analytics-elektronikproduktion\/\" class=\"post-details details-type-link\" aria-label=\"Read more about Pressemitteilung: Stand von KI und Digitalisierung in der Elektronikproduktion\">Mehr lesen<i class=\"dt-icon-the7-arrow-03\" aria-hidden=\"true\"><\/i><\/a>\n\n<\/div><\/article><\/div>[vc_separator color=&#8220;custom&#8220; accent_color=&#8220;#579999&#8243;][vc_empty_space height=&#8220;64px&#8220;][\/vc_column][\/vc_row][vc_row full_width=&#8220;stretch_row&#8220; gap=&#8220;35&#8243; bg_type=&#8220;image&#8220; el_class=&#8220;background_whitepaper&#8220;][vc_column width=&#8220;1\/2&#8243;][vc_column_text css=&#8220;&#8220;]Zwar liefern Beobachtungsdaten keinen <em>formalen<\/em> Kausalit\u00e4tsbeweis, doch umfassende Datens\u00e4tze bringen Sie der tats\u00e4chlichen Ursache-Wirkungs-Erkenntnis sehr nahe. Je vollst\u00e4ndiger die Datenbasis ist, desto leichter lassen sich echte kausale Zusammenh\u00e4nge von blo\u00dfen Korrelationen unterscheiden. Daf\u00fcr ist ein vielschichtiges Datenmodell erforderlich, das die reale Komplexit\u00e4t vollst\u00e4ndig abbildet und dadurch echte kausale Treiber anstelle blo\u00dfer, meist irrelevanter Korrelationen sichtbar macht.<\/p>\n<p>Genau hierf\u00fcr haben wir unsere patentierte <a href=\"https:\/\/xplain-data.de\/de\/object-analytics-database\/\" target=\"_blank\" rel=\"noopener\">ObjectAnalytics<\/a>-Datenbank\u2122 entwickelt. Sie erm\u00f6glicht eine vollst\u00e4ndig granulare und durchg\u00e4ngige Nutzung aller Daten, ohne dass eine vorherige Feature-Selektion erforderlich ist. Ob es sich um die Daten von Millionen von Patient:innen und vielen Millionen klinischer oder genomischer Ereignisse handelt oder um umfangreiche Produktionsdaten aus Sensoren, Prozessen und Maschinen: Unsere <a href=\"https:\/\/xplain-data.de\/de\/causal-discoverer\/\" target=\"_blank\" rel=\"noopener\">Causal-Discovery-Algorithmen<\/a> analysieren konsequent den gesamten Datensatz und identifizieren sowohl direkte als auch indirekte Einflussfaktoren auf jedes Zielergebnis.[\/vc_column_text][\/vc_column][vc_column width=&#8220;1\/2&#8243; el_class=&#8220;frontpage_whitepaper&#8220;][vc_row_inner content_placement=&#8220;bottom&#8220; gap=&#8220;35&#8243;][vc_column_inner width=&#8220;1\/3&#8243;][vc_single_image image=&#8220;4104&#8243; img_size=&#8220;medium&#8220; alignment=&#8220;center&#8220; onclick=&#8220;custom_link&#8220; img_link_target=&#8220;_blank&#8220; css_animation=&#8220;flipInX&#8220; link=&#8220;#&#8220;][\/vc_column_inner][vc_column_inner width=&#8220;2\/3&#8243;][vc_column_text css=&#8220;.vc_custom_1770128057762{margin-bottom: 0px !important;padding-bottom: 0px !important;}&#8220;]<\/p>\n<h4><span style=\"color: #ffffff;\">Laden Sie unser White Paper herunter: &#8222;Von Korrelation \u00fcber Kausalit\u00e4t zu KI&#8220;<\/span><\/h4>\n<p>[\/vc_column_text]<style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">#default-btn-e09de9982b2bc960aa617d007b52928b.ico-right-side > i {\n  margin-right: 0px;\n  margin-left: 8px;\n}\n#default-btn-e09de9982b2bc960aa617d007b52928b > i {\n  margin-right: 8px;\n}<\/style><a href=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2022\/06\/WP_Corr_Caus_AI_de_FINAL170522.pdf\" class=\"default-btn-shortcode dt-btn dt-btn-m fadeInLeft animate-element animation-builder link-hover-off btn-inline-left  vc_custom_1770128067123\" id=\"default-btn-e09de9982b2bc960aa617d007b52928b\" title=\"White Paper herunterladen\"><span>Herunterladen<\/span><\/a>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column width=&#8220;1\/2&#8243;][\/vc_column][vc_column width=&#8220;1\/2&#8243;][vc_empty_space][vc_column_text]<\/p>\n<h3>Wir stellen branchenspezifische,<br \/>\nj\u00e4hrliche Lizenzmodelle zur Verf\u00fcgung.<\/h3>\n<p>[\/vc_column_text]<style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">#default-btn-0193c4b6761271e25245f2bfd5f7724e.ico-right-side > i {\n  margin-right: 0px;\n  margin-left: 8px;\n}\n#default-btn-0193c4b6761271e25245f2bfd5f7724e > i {\n  margin-right: 8px;\n}<\/style><a href=\"https:\/\/xplain-data.de\/de\/kontakt\/\" class=\"default-btn-shortcode dt-btn dt-btn-m fadeInLeft animate-element animation-builder link-hover-off btn-inline-left \" id=\"default-btn-0193c4b6761271e25245f2bfd5f7724e\"><span>Lizenzangebot anfordern<\/span><\/a>[\/vc_column][\/vc_row][vc_row full_width=&#8220;stretch_row_content_no_spaces&#8220; bg_type=&#8220;image&#8220; parallax_style=&#8220;vcpb-default&#8220; bg_image_new=&#8220;id^4798|url^https:\/\/xplain-data.de\/wp-content\/uploads\/2023\/01\/slider-bg-stark3-1024&#215;297-1.png|caption^null|alt^null|title^slider-bg-stark3-1024&#215;297|description^null&#8220; bg_image_repeat=&#8220;no-repeat&#8220; bg_image_size=&#8220;contain&#8220; bg_image_posiiton=&#8220;center center&#8220;][vc_column][vc_empty_space height=&#8220;550px&#8220; el_class=&#8220;no_mobile&#8220;][vc_empty_space height=&#8220;150px&#8220; el_class=&#8220;no_desktop&#8220;][\/vc_column][\/vc_row][vc_row gap=&#8220;35&#8243; equal_height=&#8220;yes&#8220;][vc_column width=&#8220;1\/3&#8243;]<div class=\"xplain_content_box type_standard\"><div class=\"xplain_content_box_inner\"><a title=\"object analytics database\" href=\"https:\/\/xplain-data.de\/de\/object-analytics-database\/\"><div class=\"xplain_content_box_image\"><img decoding=\"async\" width=\"115\" height=\"129\" src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2022\/12\/xplain-icon-1.svg\" class=\"attachment-news-box size-news-box\" alt=\"computer icon\" \/><\/div><\/a><h2>Sie sind Data Scientist und m\u00fcde, relationale Datenbanken f\u00fcr Daten\u00adanalysen zu nutzen?<\/h2><div class=\"content_box_content\"><p>Warum entwickeln Sie nicht intelligente Algorithmen der n\u00e4chsten Generation, indem Sie mit ganzen Objekten arbeiten, anstatt mit Tabellen, Zeilen und Spalten?<\/p>\n<\/div><\/div><a class=\"content_box_btn\" href=\"https:\/\/xplain-data.de\/de\/object-analytics-database\/\">Mehr erfahren\u2002\u00bb<\/a><\/div>[\/vc_column][vc_column width=&#8220;1\/3&#8243;]<div class=\"xplain_content_box type_standard\"><div class=\"xplain_content_box_inner\"><a title=\"\" href=\"https:\/\/xplain-data.de\/de\/object-analytics-database\/\"><div class=\"xplain_content_box_image\"><img decoding=\"async\" width=\"102\" height=\"157\" src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2022\/12\/xplain-icon-2.svg\" class=\"attachment-news-box size-news-box\" alt=\"icon\" \/><\/div><\/a><h2>Als Application Developer von umst\u00e4ndlichen Backends ausgebremst?<\/h2><div class=\"content_box_content\"><p>Entwickeln Sie analytische Anwendungen der n\u00e4chsten Generation mit vollst\u00e4ndigen Objekten &#8211; auf Knopfdruck.<\/p>\n<\/div><\/div><a class=\"content_box_btn\" href=\"https:\/\/xplain-data.de\/de\/object-analytics-database\/\">Mehr erfahren\u2002\u00bb<\/a><\/div>[\/vc_column][vc_column width=&#8220;1\/3&#8243;]<div class=\"xplain_content_box type_standard\"><div class=\"xplain_content_box_inner\"><a title=\"Causal Discovery\" href=\"https:\/\/xplain-data.de\/de\/causal-discovery\/\"><div class=\"xplain_content_box_image\"><img decoding=\"async\" width=\"131\" height=\"129\" src=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2022\/12\/xplain-icon-3.svg\" class=\"attachment-news-box size-news-box\" alt=\"icon\" \/><\/div><\/a><h2>Als Business Analyst haben Sie unendlich viele Daten, f\u00fchlen sich aber in einer Unmenge von Korrelationen verloren?<\/h2><div class=\"content_box_content\"><p>Verstehen Sie \u2013 \u00fcber banale Korrelationen hinaus \u2013 kausale Zusammenh\u00e4nge! Die Grundlage daf\u00fcr ist eine ganzheitliche Sicht auf Ihr Gesch\u00e4ftsobjekt.<\/p>\n<\/div><\/div><a class=\"content_box_btn\" href=\"https:\/\/xplain-data.de\/de\/causal-discovery\/\">Mehr erfahren\u2002\u00bb<\/a><\/div>[\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_separator color=&#8220;custom&#8220; accent_color=&#8220;#579999&#8243;][vc_separator color=&#8220;custom&#8220; accent_color=&#8220;#579999&#8243;][vc_empty_space height=&#8220;64px&#8220;][\/vc_column][\/vc_row][vc_row full_width=&#8220;stretch_row&#8220; gap=&#8220;35&#8243; bg_type=&#8220;image&#8220; el_class=&#8220;background_whitepaper&#8220;][vc_column width=&#8220;1\/2&#8243;][vc_column_text css=&#8220;&#8220;]Zwar liefern Beobachtungsdaten keinen formalen Kausalit\u00e4tsbeweis, doch umfassende Datens\u00e4tze bringen Sie der tats\u00e4chlichen Ursache-Wirkungs-Erkenntnis sehr nahe. Je vollst\u00e4ndiger die Datenbasis ist, desto leichter lassen sich echte kausale Zusammenh\u00e4nge von blo\u00dfen Korrelationen unterscheiden. Daf\u00fcr ist ein vielschichtiges Datenmodell erforderlich, das die reale Komplexit\u00e4t vollst\u00e4ndig abbildet&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-1601","page","type-page","status-publish","hentry","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Xplain Data GmbH | Discover Causality<\/title>\n<meta name=\"description\" content=\"Entdecken Sie kausale Zusammenh\u00e4nge in komplexen Daten durch l\u00fcckenlose Nutzung des gesamten Datensatzes - ohne Feature Selection.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/xplain-data.de\/de\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Xplain Data GmbH | Discover Causality\" \/>\n<meta property=\"og:description\" content=\"Entdecken Sie kausale Zusammenh\u00e4nge in komplexen Daten durch l\u00fcckenlose Nutzung des gesamten Datensatzes - ohne Feature Selection.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/xplain-data.de\/de\/\" \/>\n<meta property=\"og:site_name\" content=\"Xplain Data\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-03T14:14:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/xplain-data.de\/wp-content\/uploads\/2023\/01\/social-image.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data1\" content=\"3\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/\",\"url\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/\",\"name\":\"Xplain Data GmbH | Discover Causality\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/#website\"},\"datePublished\":\"2022-06-21T12:56:09+00:00\",\"dateModified\":\"2026-02-03T14:14:29+00:00\",\"description\":\"Entdecken Sie kausale Zusammenh\u00e4nge in komplexen Daten durch l\u00fcckenlose Nutzung des gesamten Datensatzes - ohne Feature Selection.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/xplain-data.de\\\/de\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Start\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/#website\",\"url\":\"https:\\\/\\\/xplain-data.de\\\/de\\\/\",\"name\":\"Xplain Data\",\"description\":\"Uncover cause &amp; 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