{"id":343,"date":"2020-03-29T13:03:31","date_gmt":"2020-03-29T11:03:31","guid":{"rendered":"http:\/\/round-data.com\/?page_id=343"},"modified":"2024-03-08T12:52:09","modified_gmt":"2024-03-08T11:52:09","slug":"references","status":"publish","type":"page","link":"https:\/\/round-data.com\/index.php\/references\/","title":{"rendered":"R\u00e9f\u00e9rences"},"content":{"rendered":"

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Quelques missions r\u00e9alis\u00e9es\u00a0<\/p>\n

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Management de transition Data et Connaissance Client<\/strong><\/p>\n

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Pilotage de la Connaissance Client : d\u00e9finition de la roadmap et orchestration des chantiers : sp\u00e9cification du datalake, gestion de la data quality, mise en place de reporting d’activit\u00e9, d’analyse de comportement client et de mod\u00e8les machine learning pour optimiser les actions marketing et commerciales<\/span><\/p>\n

Alignement des diff\u00e9rentes directions de l’entreprise sur la d\u00e9finition de Client\/Prospect et des notions associ\u00e9es : nouveau client, churn, …<\/span><\/p>\n

Management des \u00e9quipes data en d\u00e9veloppement agile : animation des architectes, data engineers et data scientists autour des projets pour l’ensemble des directions (commercial, marketing, pilotage, production, …)<\/span><\/p>\n

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Mise en place de la gouvernance des donn\u00e9es<\/strong><\/p>\n

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Diagnostic de la maturit\u00e9 Data (audit des syst\u00e8mes d’information, interviews, analyse des processus de valorisation des donn\u00e9es …)<\/span><\/h2>\n

Recommandations moyens termes et de plan d\u2019actions court terme sur le plan SI, process, organisation et data<\/span><\/p>\n

D\u00e9clinaison en plan d’actions : Mise en place de la Gouvernance des donn\u00e9es client avec la cr\u00e9ation de nouvelles instances de pilotage des donn\u00e9es, d\u00e9finition des r\u00f4les et responsabilit\u00e9s des acteurs sur l\u2019ensemble de la chaine de la donn\u00e9e, refonte de la segmentation client, mise en place d’un dispositif de data quality<\/span>\u00a0<\/span><\/p>\n

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Pilotage de la refonte de programme Marketing Relationnel & Data<\/strong><\/span><\/p>\n

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Cadrage des enjeux de la refonte du programme marketing relationnel, s’inscrivant dans un plan \u00e0 3 ans de la transformation de l’entreprise.<\/span><\/p>\n

Pilotage d’\u00e9quipes marketing et data science dans la mise en place du plan marketing et dans la r\u00e9alisation des analyses comportementales, segmentation, triggers et mod\u00e8les machine learning pour activer le programme marketing relationnel.<\/span><\/p>\n

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Acculturation Valeur Client & Data, et application sur cas d’usage<\/strong><\/p>\n

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Acculturation des concepts de Client et de Valeur du Client \/ CLTV au travers d’ateliers p\u00e9dagogiques avec retour d’exp\u00e9rience multi-sectoriels.<\/span><\/h2>\n

Sensibilisation aux diff\u00e9rents outils et diff\u00e9rentes m\u00e9thodologies Data Science : analyses descriptives, segmentations, mod\u00e9lisations pr\u00e9dictives, …<\/p>\n

Audit et diagnostic de la maturit\u00e9 Data et Client, gap analysis et feuille de route.<\/p>\n

D\u00e9clinaison de la feuille de route sur un cas d’usage d’exploitation de la valeur client, avec les outils data associ\u00e9s.<\/p>\n

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Mon\u00e9tisation des donn\u00e9es – Etude d’opportunit\u00e9<\/strong><\/p>\n

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Audit des donn\u00e9es disponibles, recherche de donn\u00e9es pour enrichir les donn\u00e9es existantes (notamment open Data)<\/span><\/p>\n

Analyse de l’\u00e9cosyst\u00e8me des acteurs de la valorisation de la Data au niveau Europe<\/span><\/p>\n

Identification d’offres de mon\u00e9tisation (revente de donn\u00e9es brutes, cr\u00e9ation de nouveaux services aux clients gr\u00e2ce \u00e0 la data, optimisation de l’efficacit\u00e9 des processus internes, offre de diversification sur de nouveaux march\u00e9s – panel consommateurs, …<\/span><\/p>\n

Mesure de la valeur des offres, arbitrage des offres et d\u00e9finition du GoToMarket<\/span><\/p>\n

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