{"id":2703,"date":"2021-05-11T14:17:24","date_gmt":"2021-05-11T12:17:24","guid":{"rendered":"https:\/\/devstage.bix-consulting.com\/?p=2703"},"modified":"2023-06-16T11:59:34","modified_gmt":"2023-06-16T09:59:34","slug":"optimierung-stammdatenqualitaet","status":"publish","type":"post","link":"https:\/\/teststage.bix-consulting.com\/en\/optimierung-stammdatenqualitaet\/","title":{"rendered":"Optimization of master data quality"},"content":{"rendered":"

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Challenge<\/h4>\n

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

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=“4.21.0″ _module_preset=“default“ custom_padding=“0px||0px||false|false“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_column type=“4_4″ _builder_version=“4.21.0″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_post_title title=“off“ meta=“off“ force_fullwidth=“off“ image_width=“60%“ _builder_version=“4.21.0″ _module_preset=“default“ background_color=“#F4F4F4″ custom_margin=“||||false|false“ custom_padding=“||||false|false“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=“4.21.0″ _module_preset=“default“ custom_padding=“0px||||false|false“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_column type=“4_4″ _builder_version=“4.21.0″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“][et_pb_text _builder_version=“4.21.0″ _module_preset=“default“ background_color=“#F4F4F4″ custom_padding=“20px|20px|20px|20px|false|false“ border_radii=“off|||20px|20px“ global_colors_info=“{}“ theme_builder_area=“et_body_layout“]<\/p>\n

The approach<\/h4>\n

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

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Challenge<\/h4>\n

Manually maintained master data show serious quality defects and prevent further analyses or falsify analysis results in some cases, which in the worst case can lead to expensive wrong decisions. Manual or even simple statistical methods do not generate the required quality or fail at purely quantitative limits.<\/span><\/p>\n

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The approach<\/h4>\n

Based on the use of the master data in the company processes, a neural network is trained, which allows a digital map of similar master data characteristics to be generated. Based on this map, it is possible to automatically generate missing master data or to identify probably incorrectly maintained master data and correct it manually or automatically.<\/span><\/p>\n

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By using the biX AI Tools, the solution approach can be fully integrated into your SAP system.<\/span><\/p>\n

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Your benefit<\/h4>\n

The master data quality is significantly improved and continuously maintained at a high level without additional manual effort. Therefore, further analyses will be possible and incorrect decisions based on them will be minimized in the future.<\/span><\/p>\n

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Training of a neural network for significant improvement and sustainability of master data quality without additional manual effort<\/p>","protected":false},"author":6,"featured_media":2826,"comment_status":"open","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":"","footnotes":""},"categories":[32],"tags":[43,39,26,45,29,31,48,34,40,114,109,111,112,113,110,38,27,44,41,50,42,49,46,47,108,107,36],"modified_by":"admin","_links":{"self":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2703"}],"collection":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=2703"}],"version-history":[{"count":0,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/posts\/2703\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media\/2826"}],"wp:attachment":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2703"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=2703"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=2703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}