{"id":20061,"date":"2018-09-24T22:07:48","date_gmt":"2018-09-24T20:07:48","guid":{"rendered":"https:\/\/www.creditexpo.be\/seminar2018-ludo-theunissen\/"},"modified":"2018-10-09T18:14:40","modified_gmt":"2018-10-09T16:14:40","slug":"seminar2018-ludo-theunissen","status":"publish","type":"post","link":"https:\/\/www.creditexpo.be\/fr\/seminar2018-ludo-theunissen\/","title":{"rendered":"S\u00e9minaire Prof. Ludo Theunissen (IvKM) lors de la Credit Expo 2018: “Using social media for insolvency prediction”"},"content":{"rendered":"

S\u00e9minaire IvKM<\/strong><\/em>
\nOrateur: Ludo Theunissen, Professeur Universit\u00e9 de Gand, Pr\u00e9sident IvKM & Vice-President FECMA<\/strong><\/em>
\nLangue de la pr\u00e9sentation: Anglais<\/strong><\/em>
\n18\/10\/2018 (15h00 – 15h45) – salle 3<\/strong><\/em><\/p>\n

Using social media for insolvency prediction<\/strong><\/h3>\n

An important aspect of credit management is obviously the assessment of the creditworthiness of prospects and customers. To do this we use data from different sources: financial statements, payment behavior, visit reports, personal contacts, \u2026. But we are continuously looking for other and new sources of information. Articles in the general or specialized press for instance. They can help, sometimes. But what about social media? Is there any reliable information hidden in the messages that customers, employees, suppliers of companies send out? In this session we will take a look at some of the underlying techniques, but we will mainly examine a practical case where the usefulness of social media (twitter in this case) has been examined.<\/p>\n

D\u00e9couvrez le programme complet des s\u00e9minaires de la Credit Expo 2018<\/a><\/p>\n

Inscrivez-vous d\u00e8s maintenant gratuitement en tant que visiteur<\/a><\/p>\n

Tous les s\u00e9minaires sont gratuits. Vous ne devez pas vous inscrire sp\u00e9cifiquement \u00e0 ce s\u00e9minaire. \u00ab Premier arriv\u00e9, premier servi \u00bb. Veillez \u00e0 arriver suffisamment t\u00f4t pour \u00eatre s\u00fbr de trouver une place dans la salle.<\/em><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

S\u00e9minaire IvKM Orateur: Ludo Theunissen, Professeur Universit\u00e9 de Gand, Pr\u00e9sident IvKM & Vice-President FECMA Langue de la pr\u00e9sentation: Anglais 18\/10\/2018 (15h00 – 15h45) – salle 3 Using social media for insolvency prediction An important aspect of credit management is obviously the assessment of the creditworthiness of prospects and customers. To do this we use data […]<\/p>\n","protected":false},"author":18,"featured_media":19479,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[43],"tags":[60,153],"class_list":["post--20061","post","post--type-post","post--status-publish","post--format-standard","post--has-post-thumbnail","post--hentry","post--category-general","post--tag-credit-expo-fr","post--tag-seminaires-2018"],"acf":[],"yoast_head":"\nS\u00e9minaire Prof. Ludo Theunissen (IvKM) lors de la Credit Expo 2018: "Using social media for insolvency prediction" - Credit Expo Belgi\u00eb<\/title>\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.creditexpo.be\/fr\/seminar2018-ludo-theunissen\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"S\u00e9minaire Prof. Ludo Theunissen (IvKM) lors de la Credit Expo 2018: "Using social media for insolvency prediction" - Credit Expo Belgi\u00eb\" \/>\n<meta property=\"og:description\" content=\"S\u00e9minaire IvKM Orateur: Ludo Theunissen, Professeur Universit\u00e9 de Gand, Pr\u00e9sident IvKM & Vice-President FECMA Langue de la pr\u00e9sentation: Anglais 18\/10\/2018 (15h00 – 15h45) – salle 3 Using social media for insolvency prediction An important aspect of credit management is obviously the assessment of the creditworthiness of prospects and customers. 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