{"id":9617,"date":"2017-08-25T14:36:00","date_gmt":"2017-08-25T14:36:00","guid":{"rendered":"https:\/\/devalt-kambatiag.savviihq.com\/?p=9617"},"modified":"2023-09-01T14:21:43","modified_gmt":"2023-09-01T12:21:43","slug":"risque-de-credit-a-l-heure-du-big-data","status":"publish","type":"post","link":"https:\/\/www.altares.be\/fr\/blog\/credit-risk-management\/credit-risico-in-de-tijd-van-big-data\/","title":{"rendered":"Risque de cr\u00e9dit \u00e0 l\u2019heure du big data"},"content":{"rendered":"

Le concept de \u00ab big data \u00bb est tr\u00e8s r\u00e9cent. J\u2019ai tendance \u00e0 penser qu\u2019il s\u2019agit d\u2019un n\u00e9ologisme visant \u00e0 d\u00e9signer une pratique qui ne date pas d\u2019hier : l\u2019analyse de donn\u00e9es ouvrant de nouvelles perspectives. <\/p>\n\n\n\n

L\u2019\u00e9volution de l\u2019information a entra\u00een\u00e9 des modifications dans les caract\u00e9ristiques de l\u2019analyse de donn\u00e9es. En effet, nous constatons une croissance exponentielle du volume, davantage de diversit\u00e9 ainsi que des progr\u00e8s dans la rapidit\u00e9 et la justesse des donn\u00e9es.<\/p>\n\n\n\n

Les 4 V du big data : volume, vari\u00e9t\u00e9, vitesse et v\u00e9racit\u00e9. Ce ph\u00e9nom\u00e8ne s\u2019applique \u00e9galement au credit management.<\/p>\n\n\n\n

\"Risque<\/figure>\n\n\n\n

Nous connaissons tous une personne capable de r\u00e9aliser des pr\u00e9dictions pour trois fois rien. Il est ici question de pr\u00e9dire les faillites de fournisseurs et de clients potentiels. Mais ne vous m\u00e9prenez pas, les informations pr\u00e9dictives de qualit\u00e9 (les scores pr\u00e9dictifs, par exemple) ne sont pas monnaie courante.<\/p>\n\n\n\n

Comment \u00e9valuer la qualit\u00e9 de ces scores pr\u00e9dictifs ? Il n\u2019existe aucun crit\u00e8re fixe, outre la patience et, \u00e0 terme, une analyse permettant de d\u00e9terminer si les pr\u00e9visions se sont r\u00e9v\u00e9l\u00e9es exactes. Cette option n\u2019est pas envisageable : vous ne souhaitez pas prendre de risques inutiles en ce qui concerne les gains et les pertes de votre entreprise, n\u2019est-ce pas ?<\/p>\n\n\n\n

Ma r\u00e9ponse est la suivante : comme pour tout dans la vie, rien n\u2019est gratuit. La qualit\u00e9 a un prix ; les co\u00fbts de la collecte de donn\u00e9es repr\u00e9sentent un investissement \u00e0 long terme, un investissement dans la qualit\u00e9 des donn\u00e9es (\u00e0 jour, compl\u00e8tes, correctes\u2026) et dans le d\u00e9gagement de perspectives. En effet, les perspectives pr\u00e9dictives bas\u00e9es sur des donn\u00e9es incompl\u00e8tes, erron\u00e9es, n\u2019ayant pas \u00e9t\u00e9 mises \u00e0 jour ou qui, pour une quelconque raison, sont de mauvaise qualit\u00e9, sont trop on\u00e9reuses. Non seulement elles ne permettent pas de pr\u00e9voir de v\u00e9ritables faillites, mais elles entra\u00eenent \u00e9galement de trop nombreux \u00ab faux positifs \u00bb : vous serez dans l\u2019impossibilit\u00e9 de faire les bons choix parce qu\u2019un tiers incomp\u00e9tent pr\u00e9voit la faillite d\u2019une entreprise financi\u00e8rement stable (avec laquelle vous ne collaborerez donc pas).<\/p>\n\n\n\n

Je vous donne donc mon avis, qui vaut \u00e9galement pour le credit management : la qualit\u00e9 des donn\u00e9es est la cl\u00e9 du succ\u00e8s ; les perspectives pr\u00e9dictives permettant de g\u00e9rer votre risque de cr\u00e9dit sont d\u2019une valeur inestimable. En qui faites-vous le plus confiance pour la qualit\u00e9 de vos donn\u00e9es ?<\/p>","protected":false},"excerpt":{"rendered":"

L\u2019\u00e9volution de l\u2019information a entra\u00een\u00e9 des modifications dans les caract\u00e9ristiques de l\u2019analyse de donn\u00e9es. En effet, nous constatons une croissance exponentielle du volume, davantage de diversit\u00e9 ainsi que des progr\u00e8s dans la rapidit\u00e9 et la justesse des donn\u00e9es.<\/p>","protected":false},"author":5,"featured_media":9619,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-9617","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-credit-risk-management"],"acf":[],"yoast_head":"\nCredit Risico in de tijd van Big Data - Altares<\/title>\n<meta name=\"description\" content=\"Big Data is een veel nieuwer begrip. Ik neig er naar om te denken dat het een nieuwe naam is voor iets dat mensen al lang doen: data analyseren om waardevolle inzichten te cre\u00ebren.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.altares.be\/fr\/blog\/credit-risk-management\/risque-de-credit-a-l-heure-du-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Blog: Credit Risico in de tijd van Big Data - Altares\" \/>\n<meta property=\"og:description\" content=\"Big Data is een veel nieuwer begrip. 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