{"id":2719,"date":"2021-05-11T14:23:57","date_gmt":"2021-05-11T12:23:57","guid":{"rendered":"https:\/\/devstage.bix-consulting.com\/?p=2719"},"modified":"2023-06-16T11:48:55","modified_gmt":"2023-06-16T09:48:55","slug":"automatisiertes-management-reporting","status":"publish","type":"post","link":"https:\/\/www.bix-consulting.com\/en\/automatisiertes-management-reporting\/","title":{"rendered":"Automated management reporting"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8220;1&#8243; disabled_on=&#8220;on|on|on&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; disabled=&#8220;on&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_row use_custom_gutter=&#8220;on&#8220; gutter_width=&#8220;2&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; border_radii=&#8220;off|20px|20px||&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;]<\/p>\n<h4>Herausforderung<\/h4>\n<p style=\"text-align: justify;\">Ein in europaweit agierendes Unternehmen bietet Tankkarten f\u00fcr seine ca. 250.000 Gesch\u00e4ftskunden an. Das Gesch\u00e4ftsmodell beinhaltet f\u00fcr das Unternehmen ein hohes finanzielles Risiko, da es prozessbedingt in Vorleistung (Kostenabgang vor Zahlung des Endkunden) geht. Die H\u00f6he der Vorleistung betr\u00e4gt pro Monat einen 10-stelligen Betrag! Ziel muss es demnach sein, die Wahrscheinlichkeit eines Zahlungsausfalls zu minimieren.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_post_title title=&#8220;off&#8220; meta=&#8220;off&#8220; force_fullwidth=&#8220;off&#8220; image_width=&#8220;60%&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;||||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; border_radii=&#8220;off|||20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;]<\/p>\n<h4>Unser L\u00f6sungsansatz<\/h4>\n<p style=\"text-align: justify;\">biX Consulting hat auf Basis von KI ein Modell entwickelt, welches die Problematik der Kundenbewertung deutlich optimiert. Im Rahmen von Big Data werden sekundenschnell interne sowie externe Daten zusammengef\u00fchrt, verarbeitet und daraus eine verl\u00e4ssliche Aussage zur Bonit\u00e4t des (Neu)-Kunden getroffen. Mit dieser L\u00f6sung wird die Wahrscheinlichkeit des Ausfallsrisikos elementar reduziert.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;0px||||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_row use_custom_gutter=&#8220;on&#8220; gutter_width=&#8220;2&#8243; make_equal=&#8220;on&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; border_radii=&#8220;on|20px|20px|20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; hover_enabled=&#8220;0&#8243; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220; sticky_enabled=&#8220;0&#8243;]<\/p>\n<h4>Herausforderung<\/h4>\n<p style=\"text-align: justify;\">Die manuelle Auswertung der bestehenden Berichte und Analysen bzgl. Auff\u00e4lligkeiten, Trends und der insgesamten Gesch\u00e4ftsentwicklung gestaltet sich zunehmend aufwendiger. Durch \u00fcberlagernde Effekte werden bestimmte Effekte in der Entwicklung erst auf einem sehr hohen Detaillierungsgrad sichtbar, was zu einem unverh\u00e4ltnism\u00e4\u00dfig hohen Aufwand im regelm\u00e4\u00dfigen Reporting f\u00fchren kann.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_post_title title=&#8220;off&#8220; meta=&#8220;off&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; border_radii=&#8220;on|20px|20px|20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;RGBA(255,255,255,0)&#8220; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; border_radii=&#8220;off|||20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;]<\/p>\n<h4>Unser L\u00f6sungsansatz<\/h4>\n<p style=\"text-align: justify;\"><span>Durch Analyse der Vergangenheitsdaten lassen sich automatisiert Korridore ermitteln, die den normalen Gesch\u00e4ftsverlauf widerspiegeln. Hierdurch kann das Berichtssystem selbst automatisiert die bestehenden Daten analysieren und Auff\u00e4lligkeiten, wie bspw. Ausrei\u00dfer oder Negativtrends, aufdecken. Das System weist dann nur noch diese Auff\u00e4lligkeiten aus und die Analyse kann sich auf die wirklich relevanten Datenpunkte beschr\u00e4nken.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_image src=&#8220;https:\/\/www.bix-consulting.com\/wp-content\/uploads\/2021\/05\/Automatisiertes-Management-Reporting.png&#8220; title_text=&#8220;Automatisiertes-Management-Reporting&#8220; show_bottom_space=&#8220;off&#8220; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][\/et_pb_image][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;]<\/p>\n<p><span>Mit den biX AI Tools kann der L\u00f6sungsansatz vollst\u00e4ndig in Ihr SAP System integriert werden.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_row _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; border_radii=&#8220;on|20px|20px|20px|20px&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.16&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;][et_pb_text _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220; theme_builder_area=&#8220;post_content&#8220;]<\/p>\n<h4>Ihr Nutzen<\/h4>\n<p style=\"text-align: justify;\"><span>Durch die Konzentration auf Auff\u00e4lligkeiten in der Analyse der Gesch\u00e4ftsentwicklung kann einerseits viel Zeit bei der Analyse selbst eingespart werden und gleichzeitig die Granularit\u00e4t der analysierten Daten durch Automatisierung deutlich erh\u00f6ht werden. Somit k\u00f6nnen schon fr\u00fchzeitig negative Entwicklungen aufgedeckt und entsprechende Gegenma\u00dfnahmen eingeleitet werden. Dies hilft Kosten langfristig einzusparen und gleichzeitig neue Potentiale zu erschlie\u00dfen.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Automated reporting recognises anomalies and trends at an early stage and points to effects in the business development<\/p>","protected":false},"author":6,"featured_media":2830,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_lmt_disableupdate":"","_lmt_disable":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"iawp_total_views":9,"footnotes":""},"categories":[32],"tags":[84,43,39,26,45,29,31,48,40,85,86,88,38,87,27,44,41,50,42,49,46,47],"class_list":["post-2719","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-use-cases","tag-automatisiert","tag-beratung","tag-big-data","tag-bix","tag-bix-beratung","tag-bix-consulting","tag-bix-sap","tag-consulting","tag-data-science","tag-digitalisiert","tag-management","tag-management-reporting","tag-ratingen","tag-reporting","tag-sap","tag-sap-beratung","tag-sap-bw","tag-sap-consulting","tag-sap-hana","tag-sap-solutions","tag-service","tag-solution"],"modified_by":"admin","_links":{"self":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2719","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=2719"}],"version-history":[{"count":0,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2719\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/media\/2830"}],"wp:attachment":[{"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2719"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=2719"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bix-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=2719"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}