Bayesian probabilityBayesian probability (ˈbeɪziən or ˈbeɪʒən ) is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief. The Bayesian interpretation of probability can be seen as an extension of propositional logic that enables reasoning with hypotheses; that is, with propositions whose truth or falsity is unknown.
ParameterA parameter (), generally, is any characteristic that can help in defining or classifying a particular system (meaning an event, project, object, situation, etc.). That is, a parameter is an element of a system that is useful, or critical, when identifying the system, or when evaluating its performance, status, condition, etc. Parameter has more specific meanings within various disciplines, including mathematics, computer programming, engineering, statistics, logic, linguistics, and electronic musical composition.
Customer analyticsCustomer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services in order to satisfy customers. With that in mind, the productive system is considered from its beginning at the production level, to the end of the cycle at the consumer.
Management du système d'informationLe management du système d'information ou la gestion des systèmes d'information (aussi appelé dans un sens plus restreint : informatique de gestion et parfois management de la performance) est une discipline des sciences de gestion ou du management regroupant l'ensemble des connaissances, des techniques et des outils assurant la gestion de données et leur sécurité, et plus généralement l'organisation et la protection du système d'information.
Interprétations de la probabilitéLe mot probabilité a été utilisé dans une variété de domaines depuis qu'il a été appliqué à l'étude mathématique des jeux de hasard. Est-ce que la probabilité mesure la tendance réelle physique de quelque chose de se produire, ou est-ce qu'elle est une mesure du degré auquel on croit qu'elle se produira, ou faut-il compter sur ces deux éléments ? Pour répondre à ces questions, les mathématiciens interprètent les valeurs de probabilité de la théorie des probabilités.
Satisfaction utilisateurLa satisfaction utilisateur, ou satisfaction client ou satisfaction consommateur, est un concept couramment utilisé en marketing et dans les standards de gestion de la qualité type ISO 9000 où la satisfaction est la finalité de la mise en place de processus. Une entreprise apporte au client un produit ou un service. La satisfaction est la perception des qualités intrinsèques de cette fourniture par rapport aux besoins exprimés ou tacites du client ou consommateur.
Valeur vie clientIn marketing, customer lifetime value (CLV or often CLTV), lifetime customer value (LCV), or life-time value (LTV) is a prognostication of the net profit contributed to the whole future relationship with a customer. The prediction model can have varying levels of sophistication and accuracy, ranging from a crude heuristic to the use of complex predictive analytics techniques. Customer lifetime value can also be defined as the monetary value of a customer relationship, based on the present value of the projected future cash flows from the customer relationship.
Frequentist probabilityFrequentist probability or frequentism is an interpretation of probability; it defines an event's probability as the limit of its relative frequency in many trials (the long-run probability). Probabilities can be found (in principle) by a repeatable objective process (and are thus ideally devoid of opinion). The continued use of frequentist methods in scientific inference, however, has been called into question. The development of the frequentist account was motivated by the problems and paradoxes of the previously dominant viewpoint, the classical interpretation.
Customer retentionCustomer retention refers to the ability of a company or product to retain its customers over some specified period. High customer retention means customers of the product or business tend to return to, continue to buy or in some other way not defect to another product or business, or to non-use entirely. Selling organizations generally attempt to reduce customer defections. Customer retention starts with the first contact an organization has with a customer and continues throughout the entire lifetime of a relationship and successful retention efforts take this entire lifecycle into account.
Statistiques non paramétriquesLa statistique non paramétrique est un domaine de la statistique qui ne repose pas sur des familles de loi de probabilité paramétriques. Les méthodes non paramétriques pour la régression comprennent les histogrammes, les méthodes d'estimation par noyau, les splines et les décompositions dans des dictionnaires de filtres (par exemple décomposition en ondelettes). Bien que le nom de non paramétriques soit donné à ces méthodes, elles reposent en vérité sur l'estimation de paramètres.
