{"id":17673,"date":"2022-08-02T15:51:34","date_gmt":"2022-08-02T13:51:34","guid":{"rendered":"https:\/\/www.digdash.com\/?p=17673"},"modified":"2023-06-28T14:45:44","modified_gmt":"2023-06-28T12:45:44","slug":"lexploration-de-donnees-au-service-de-la-connaissance-client","status":"publish","type":"post","link":"https:\/\/www.digdash.com\/fr\/news-articles\/business-intelligence\/lexploration-de-donnees-au-service-de-la-connaissance-client\/","title":{"rendered":"L’exploration de donn\u00e9es au service de la connaissance client"},"content":{"rendered":"

Indispensable pour comprendre les besoins de la client\u00e8le et anticiper les tendances du march\u00e9, la connaissance client est devenue un enjeu majeur pour les entreprises, et plus particuli\u00e8rement pour la fonction marketing. Afin d’exploiter le potentiel de ces pr\u00e9cieuses informations,<\/span> l’exploration de donn\u00e9es<\/b> prend aujourd’hui tout son sens.<\/span><\/p>\n

Qu\u2019est-ce que l’exploration de donn\u00e9es\u00a0?<\/b><\/h2>\n

L’exploration de donn\u00e9es, aussi appel\u00e9e <\/span>Data Mining<\/b>, d\u00e9signe un ensemble de technologies et de techniques permettant d’analyser de <\/span>grands volumes de donn\u00e9es<\/span><\/a>. Elle consiste donc \u00e0 identifier des informations pertinentes \u00e0 partir de donn\u00e9es brutes, dans l’objectif d’appuyer la prise de d\u00e9cision.<\/span><\/p>\n

Ainsi, les outils de Data Mining exploitent<\/span> l’intelligence artificielle<\/b>, <\/span>le machine learning<\/b> et des algorithmes complexes pour extraire des connaissances approfondies \u00e0 partir du Big Data. Concr\u00e8tement, ils permettent d’explorer de multiples sources de donn\u00e9es et d’identifier les relations qui les lient, dans le but d’\u00e9tablir la strat\u00e9gie la plus pertinente et la plus performante possible.<\/span><\/p>\n

Les pr\u00e9cieuses informations obtenues gr\u00e2ce \u00e0 l’exploration des donn\u00e9es jouent notamment un r\u00f4le crucial dans le domaine du marketing, car elles peuvent aider l’entreprise \u00e0 <\/span>affiner sa connaissance client<\/b>.<\/span><\/p>\n

 <\/p>\n

Quels sont les enjeux de la connaissance client\u00a0?<\/b><\/h2>\n

Big Data et connaissance client <\/b>sont \u00e9troitement li\u00e9s\u00a0: pour permettre \u00e0 l’entreprise de r\u00e9pondre parfaitement aux besoins de sa client\u00e8le, l’exploration de donn\u00e9es est donc incontournable.<\/span><\/p>\n

Une meilleure segmentation de la client\u00e8le<\/b><\/h3>\n

Les entreprises sont confront\u00e9es \u00e0 des donn\u00e9es de plus en plus volumineuses, mais aussi de plus en plus diversifi\u00e9es. S’il s’agit d’un atout pour enrichir la connaissance client, c’est aussi un v\u00e9ritable d\u00e9fi \u00e0 relever\u00a0: la data doit \u00eatre tri\u00e9e et la client\u00e8le segment\u00e9e pour pouvoir exploiter tout le potentiel de cette data.\u00a0<\/span><\/p>\n

Ici, l’utilisation d’un <\/span>outil de Business Intelligence<\/b> est indispensable pour traiter efficacement les informations, faire ressortir leur v\u00e9ritable valeur et ainsi soutenir la prise de d\u00e9cision.<\/span><\/p>\n

Une pr\u00e9sence sur tous les canaux de communication<\/b><\/h3>\n

L’essor des technologies num\u00e9riques a entra\u00een\u00e9 une multiplication des canaux de communication avec la client\u00e8le\u00a0: les sites internet ou les <\/span>r\u00e9seaux sociaux<\/b> font d\u00e9sormais partie int\u00e9grante de <\/span>l’exp\u00e9rience client<\/b>. En outre, cette grande diversit\u00e9 de canaux apporte une volum\u00e9trie de donn\u00e9es clients encore plus importante, \u00e0 condition d’\u00eatre pr\u00e9sent sur tous les fronts.<\/span><\/p>\n

En effet, pour r\u00e9pondre efficacement aux besoins de sa client\u00e8le, l’entreprise doit \u00eatre en mesure de collecter et d’analyser la data \u00e0 sa disposition sur chaque canal de communication. Pour faire face \u00e0 ces nouveaux enjeux et garantir un bon niveau de satisfaction client, une <\/span>solution de Data Intelligence<\/b> s’av\u00e8re donc incontournable.<\/span><\/p>\n

Am\u00e9liorer l\u2019analyse pr\u00e9dictive<\/b><\/h3>\n

Pour le marketing, la connaissance client est \u00e9galement un outil pr\u00e9cieux pour pr\u00e9voir les tendances futures du march\u00e9. L’analyse pr\u00e9dictive, qui repose notamment sur <\/span>l’intelligence artificielle<\/b>, permet de cr\u00e9er des mod\u00e8les fiables afin d’anticiper les besoins de la client\u00e8le.<\/span><\/p>\n

Cependant, l’analyse pr\u00e9dictive n\u00e9cessite une base de donn\u00e9es particuli\u00e8rement vaste, et surtout parfaitement fiable\u00a0: d’o\u00f9 l’importance d’utiliser une <\/span>solution d’informatique d\u00e9cisionnelle<\/b>. De plus, elle s’inscrit dans une logique de long terme, consistant \u00e0 \u00e9laborer une offre de produits et services r\u00e9pondant aux besoins des clients dans un avenir plus ou moins \u00e9loign\u00e9.<\/span><\/p>\n

 <\/p>\n

Comment le Big Data permet de contribuer activement \u00e0 la connaissance client\u00a0?<\/b><\/h2>\n

Mieux interpr\u00e9ter les donn\u00e9es<\/b><\/h3>\n

L’exploration de donn\u00e9es permet, en premier lieu, d’interpr\u00e9ter l’ensemble de la data collect\u00e9 sur les diff\u00e9rents canaux\u00a0: <\/span>logiciel de gestion de la relation client (CRM)<\/b>, r\u00e9seaux sociaux, site internet, application mobile\u2026<\/span><\/p>\n

En effet, le Data Mining est bas\u00e9 sur de puissants algorithmes capables de r\u00e9aliser une v\u00e9ritable cartographie des comportements des consommateurs. En m\u00ealant la statistique et l’intelligence artificielle, il permet donc de lire entre les lignes et de faire ressortir des informations r\u00e9ellement pertinentes, m\u00eame \u00e0 partir d’une grande volum\u00e9trie de donn\u00e9es \u00e9parses. Tout cela afin d’<\/span>enrichir la connaissance client<\/b>.<\/span><\/p>\n

\u00c9tablir des indicateurs de performance<\/b><\/h3>\n

Gr\u00e2ce \u00e0 <\/span>l’exploration de donn\u00e9es<\/b>, l’entreprise est en mesure d’exploiter l’ensemble de la data collect\u00e9e pour am\u00e9liorer sa connaissance client. Elle peut notamment garder une trace des diff\u00e9rentes actions effectu\u00e9es par ses clients sur le web, qu’il s’agisse d’une visite sur un site, d’un achat sur une boutique e-commerce, d’un commentaire ou d’un avis en ligne\u2026<\/span><\/p>\n

Mais le Data Mining permet d’aller encore plus loin et d’exploiter tout le potentiel de cette pr\u00e9cieuse data. En effet, il est possible de mieux interpr\u00e9ter les donn\u00e9es et de les lier entre elles afin de g\u00e9n\u00e9rer des<\/span> indicateurs cl\u00e9s de performance (KPI)<\/b>. Ces derniers sont la cl\u00e9 de vo\u00fbte de toute strat\u00e9gie marketing bien pens\u00e9e.<\/span><\/p>\n

Mieux cibler les clients<\/b><\/h3>\n

Pour \u00e9tablir une strat\u00e9gie marketing efficace, il est indispensable de conna\u00eetre son march\u00e9 et sa client\u00e8le sur le bout des doigts. Justement, le Data Mining permet de cibler les clients avec beaucoup plus de pr\u00e9cision en s’int\u00e9ressant \u00e0 diff\u00e9rents facteurs\u00a0: le prix et le positionnement du produit, le contexte \u00e9conomique actuel, l’intensit\u00e9 concurrentielle, les donn\u00e9es d\u00e9mographiques\u2026<\/span><\/p>\n

Gr\u00e2ce aux informations obtenues, l’entreprise peut ainsi proposer une <\/span>offre de produits ou services<\/b> ad\u00e9quate pour chaque typologie de client, mais aussi mettre en place des actions promotionnelles cibl\u00e9es pour augmenter ses ventes. Enfin, la data permet de <\/span>r\u00e9concilier le marketing et les ventes<\/span><\/a>, pour un ciblage encore plus efficace.<\/span><\/p>\n

 <\/p>\n

La connaissance client est d\u00e9terminante pour mettre en place une strat\u00e9gie marketing performante, capable de r\u00e9pondre aux besoins actuels de la client\u00e8le mais aussi \u00e0 ses besoins futurs (gr\u00e2ce \u00e0 l’analyse pr\u00e9dictive). L’exploration de donn\u00e9es \u00e0 l’aide d’un outil de Business Intelligence est donc incontournable pour am\u00e9liorer durablement la satisfaction et la fid\u00e9lisation client.<\/i><\/b><\/p>\n

 <\/p>\n

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

Indispensable pour comprendre les besoins de la client\u00e8le et anticiper les tendances du march\u00e9, la connaissance client est devenue un enjeu majeur pour les entreprises, et plus particuli\u00e8rement pour la fonction marketing. Afin d’exploiter le potentiel de ces pr\u00e9cieuses informations, l’exploration de donn\u00e9es prend aujourd’hui tout son sens. Qu\u2019est-ce que l’exploration de donn\u00e9es\u00a0? L’exploration de … Lire plus<\/a><\/p>\n","protected":false},"author":21,"featured_media":17677,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[10],"tags":[],"class_list":["post-17673","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence"],"acf":[],"yoast_head":"\nExploration de donn\u00e9es et connaissance client<\/title>\n<meta name=\"description\" content=\"L'exploration de donn\u00e9es \u00e0 l\u2019aide d\u2019un outil de BI est aujourd\u2019hui incontournable pour am\u00e9liorer la connaissance client de l\u2019entreprise.\" \/>\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.digdash.com\/fr\/news-articles\/business-intelligence\/lexploration-de-donnees-au-service-de-la-connaissance-client\/\" 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