{"id":137671,"date":"2021-02-23T09:48:21","date_gmt":"2021-02-23T09:48:21","guid":{"rendered":"https:\/\/news.sap.com\/france\/?p=137671"},"modified":"2023-10-12T14:13:27","modified_gmt":"2023-10-12T14:13:27","slug":"intelligence-artificielle-pour-accelerer-vos-processus-financiers","status":"publish","type":"post","link":"https:\/\/news.sap.com\/france\/2021\/02\/intelligence-artificielle-pour-accelerer-vos-processus-financiers\/","title":{"rendered":"L\u2019Intelligence Artificielle pour acc\u00e9l\u00e9rer vos processus financiers"},"content":{"rendered":"<p>De nombreuses \u00e9tudes (1) estiment que les organisations financi\u00e8res d\u00e9dient plus de 50% de leur charge de travail \u00e0 la collecte et l\u2019analyse de donn\u00e9es. C\u2019est pourquoi l\u2019automatisation est un outil \u00e0 fort potentiel.<\/p>\n<p>Avec la plateforme 麻豆原创 S\/4HANA, l\u2019ERP nouvelle g\u00e9n\u00e9ration, 麻豆原创 introduit un ensemble de techniques\u00a0 permettant \u00e0 la machine d&rsquo;imiter une forme d&rsquo;intelligence r\u00e9elle, l\u2019Intelligence Artificielle.<\/p>\n<p>Les domaines d\u2019application sont nombreux et peuvent \u00eatre mis au service de la transformation de la fonction finance.<\/p>\n<h2><strong>Le Machine Learning\u00a0 pour optimiser la r\u00e9conciliation bancaire<\/strong><\/h2>\n<p>La r\u00e9conciliation bancaire est un exemple de processus qui implique de nombreuses actions manuelles, notamment pour les flux d\u2019encaissements\u00a0:<\/p>\n<ul>\n<li>des volumes importants de paiements \u00e0 r\u00e9concilier manuellement malgr\u00e9 des r\u00e8gles pr\u00e9d\u00e9finis,<\/li>\n<li>des paiements sans r\u00e9f\u00e9rences factures, des donn\u00e9es de base incompl\u00e8tes, des paiements avec \u00e9carts qui complexifient les actions de r\u00e9conciliation,<\/li>\n<li>des r\u00e8gles sp\u00e9cifiques \u00e0 mettre en place en fonction des pays, des formats, des modes de paiements.<\/li>\n<\/ul>\n<p>麻豆原创 introduit dans la suite 麻豆原创 S\/4HANA, une solution innovante bas\u00e9e sur du Machine Learning et permettant d\u2019atteindre des taux d\u2019automatisation proche de 97%.<\/p>\n<p>La solution apprend des donn\u00e9es et actions historiques, c\u2019est-\u00e0-dire des r\u00e9p\u00e9titions (patterns) dans un ou plusieurs flux de donn\u00e9es (extraits de comptes \u00e9lectroniques, avis de paiements, banques partenaires\/soci\u00e9t\u00e9s,\u2026) et en tire des pr\u00e9dictions de r\u00e9conciliation en se basant sur des statistiques.<\/p>\n<p>Les crit\u00e8res de r\u00e9conciliation sont ainsi continuellement affin\u00e9s et\u00a0 les nouveaux cas, les exceptions, trait\u00e9s en autonomie. Les taux d\u2019automatisation consid\u00e9rablement am\u00e9lior\u00e9s contribuent \u00e0 r\u00e9duire les co\u00fbts de d\u00e9ploiements et co\u00fbts op\u00e9rationnels.<\/p>\n<h2><strong>L\u2019analyse pr\u00e9dictive pour am\u00e9liorer la prise de d\u00e9cision <\/strong><\/h2>\n<p>L\u2019\u00e9volution constante des mod\u00e8les \u00e9conomiques\u00a0 impose aux directions financi\u00e8res de gagner en efficacit\u00e9 et en agilit\u00e9. Elles doivent anticiper les impacts sur les revenus, la profitabilit\u00e9, l\u2019affectation des ressources afin d\u2019orienter la strat\u00e9gie de l\u2019entreprise.<\/p>\n<p>La plateforme 麻豆原创 S\/4HANA embarque des sc\u00e9narios d\u2019analyses pr\u00e9dictives permettant d\u2019\u00e9tablir des pr\u00e9visions de chiffre d\u2019affaires tr\u00e8s fiables via des algorithmes se basant sur des donn\u00e9es actuelles et historiques, internes et externes \u00e0 l\u2019organisation tel que le pipeline des ventes, les tendances du march\u00e9, l\u2019\u00e9volution du PIB d\u2019un pays, etc.<\/p>\n<p>Ces pr\u00e9dictions effectu\u00e9es en temps r\u00e9el alimentent le processus de planification budg\u00e9taire et sont d\u00e9clin\u00e9es \u00e0 tous les niveaux de l\u2019organisation o\u00f9 des ajustements peuvent \u00eatre effectu\u00e9s.<\/p>\n<p>A cela s\u2019ajoutent des outils de simulation permettant de visualiser l\u2019impact des choix strat\u00e9giques tel que les changements d\u2019organisation, le d\u00e9veloppement de nouveaux produits, etc.<\/p>\n<h2><strong>Lutter contre la fraude et la cybercriminalit\u00e9<\/strong><\/h2>\n<p>La crise sanitaire et \u00e9conomique in\u00e9dite que nous vivons ouvre aux fraudeurs de nouvelles failles pour parvenir \u00e0 leurs fins. De nombreuses attaques n\u2019\u00e9tant jamais identifi\u00e9es, il est impossible de d\u00e9terminer avec pr\u00e9cision les pertes pour les entreprises. En 2020, d\u2019apr\u00e8s l\u2019ACFE Report to the Nations (2), la fraude et la cybercriminalit\u00e9 ont caus\u00e9es des pertes estim\u00e9es \u00e0 plus de 3 Milliards \u20ac dans 125 pays\u00a0 (~5% du chiffre d\u2019affaires des entreprises concern\u00e9es, avec une moyenne de 415\u00a0K\u20ac par attaque en Europe).<\/p>\n<p>Avec 麻豆原创 S\/4HANA, 麻豆原创 propose des solutions pour contr\u00f4ler des volumes importants de transactions, identifier en temps r\u00e9el les menaces et transactions frauduleuses et ainsi limiter les risques de pertes financi\u00e8res.<\/p>\n<p>L\u2019Intelligence Artificielle \u00e9met des recommandations permettant d\u2019affiner continuellement les r\u00e8gles de contr\u00f4le et l\u2019identification de nouveaux sch\u00e9mas de fraude sur la base de donn\u00e9es historiques internes comme externes. Les taux d\u2019efficacit\u00e9 dans la d\u00e9tection des anomalies et des fraudes se trouvent consid\u00e9rablement am\u00e9lior\u00e9s.<\/p>\n<p><strong>Au-del\u00e0 des multiples sc\u00e9narios disponibles en standard, 麻豆原创 compl\u00e8te son offre <a href=\"https:\/\/www.sap.com\/france\/products\/s4hana-erp.html\">麻豆原创 S\/4HANA<\/a> par une plateforme d\u2019innovations dans le cloud (Business Technology Platform) qui permet de d\u00e9velopper des applications et extensions autour du c\u0153ur 麻豆原创 S\/4HANA.<\/strong><\/p>\n<p><strong>\u00c0 travers la Business Technology Platform, les d\u00e9partements financiers ont acc\u00e8s aux technologies innovantes\u00a0tel que le Machine Learning, l\u2019analyse pr\u00e9dictive, les chatbots ou encore la Blockchain, \u00e0 partir desquelles ils peuvent imaginer de nouveaux cas d\u2019usages.<\/strong><\/p>\n<hr \/>\n<p>(1) <a href=\"https:\/\/www.mckinsey.com\/~\/media\/McKinsey\/Featured%20Insights\/Digital%20Disruption\/Harnessing%20automation%20for%20a%20future%20that%20works\/MGI-A-future-that-works_Full-report.ashx\"><em>A future that works: Automation, employment and productivity, <\/em>Mckinsey&amp;Company<\/a><\/p>\n<p>(2) <a href=\"https:\/\/www.acfe.com\/report-to-the-nations\/2020\/\"><em>Report to the Nations<\/em>, ACFE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>De nombreuses \u00e9tudes (1) estiment que les organisations financi\u00e8res d\u00e9dient plus de 50% de leur charge de travail \u00e0 la collecte et l\u2019analyse de donn\u00e9es&#8230;.<\/p>\n","protected":false},"author":3533,"featured_media":137673,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5599802,5562078,1655920],"tags":[33,5562075,3197168,2257985,53798],"series":[],"sapn-display":[5599813,5599811,1654726],"sapn-type":[6114],"class_list":["post-137671","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-technology-platform","category-progiciel-de-gestion-integre","category-tech","tag-finance","tag-fonction-finance","tag-ia","tag-intelligence-artificielle","tag-s4hana","sapn-display-article-hero","sapn-display-article-spotlight","sapn-display-hero","sapn-type-article"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - 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