{"id":620,"date":"2017-11-27T13:58:35","date_gmt":"2017-11-27T13:58:35","guid":{"rendered":"https:\/\/mabrian.com\/?p=620"},"modified":"2026-06-30T11:52:55","modified_gmt":"2026-06-30T11:52:55","slug":"los-indices-mabrian-indice-de-satisfaccion-turistica-global","status":"publish","type":"post","link":"https:\/\/datappeal.io\/es\/los-indices-mabrian-indice-de-satisfaccion-turistica-global\/","title":{"rendered":"Los \u00edndices Mabrian: \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global"},"content":{"rendered":"

Gracias al proceso de Big Data desarrollado por Mabrian<\/a> podemos valorar la satisfacci\u00f3n de los visitantes de un destino concreto. Este \u00edndice, denominado \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global, se elabora cruzando datos en relaci\u00f3n a la percepci\u00f3n del producto tur\u00edstico \u2014calculada sobre el TPi de Mabrian-, las sensaciones reportadas sobre la seguridad en la zona \u2013Mabrian PSi- y el indicador de satisfacci\u00f3n con respecto al clima \u2014PCi de Mabrian.<\/p>\n

En algunos lugares elaboramos tambi\u00e9n el \u00edndice de satisfacci\u00f3n hotelera (HSi), en cuyo caso el \u00edndice de satisfacci\u00f3n global puede cruzarse con el HSi para conseguir perspectivas diferentes.<\/p>\n

Los \u00edndices Mabrian<\/a> ayudan a la planificaci\u00f3n y la implementaci\u00f3n de estrategias tur\u00edsticas, y pueden utilizarlos desde instituciones y agentes tur\u00edsticos hasta empresas de inversi\u00f3n. Se basan en datos reales, recogidos a tiempo real. Y muestran las fluctuaciones en las percepciones de los visitantes a lo largo del a\u00f1o, como se observa en las siguientes gr\u00e1ficas, relativas a la isla de Menorca:<\/p>\n

\"Screen<\/p>\n

En este caso el \u00edndice Global muestra una diferencia clara entre el destino en temporada alta (agosto 2017) y temporada baja (febrero 2017). La raz\u00f3n de los m\u00e1s de 9 puntos de separaci\u00f3n entre uno y otro se encuentra en la variaci\u00f3n entre los \u00edndices de satisfacci\u00f3n clim\u00e1tica y los \u00edndices de producto tur\u00edstico. Este \u00faltimo condiciona claramente las opiniones que emiten los visitantes sobre Menorca en temporada baja: el lastre m\u00e1s marcado durante el mes de febrero est\u00e1 en la oferta tur\u00edstica, m\u00e1s que en las circunstancias meteorol\u00f3gicas.<\/p>\n

Cada uno de los \u00edndices se construye a partir de los datos ofrecidos por diversas plataformas a trav\u00e9s de sus API (Application Programming Interface). Tambi\u00e9n se obtienen datos de otras fuentes, como sistemas de distribuci\u00f3n global (GDS) y con la captura y procesado de la informaci\u00f3n ofrecida por sitios web espec\u00edficos.<\/p>\n

Para que todo este caudal de datos no estructurados cobre el valor anal\u00edtico que queremos aportarle, se filtra con un preprocesado. \u00c9ste incluye un conjunto de algoritmos de verificaci\u00f3n con reglas funcionales. En esta etapa se descartan los datos procedentes de bots y otros automatismos y se verifica que la informaci\u00f3n adquirida proceda de personas que visitan el destino, y no de residentes habituales.<\/p>\n

El preprocesado tambi\u00e9n incorpora un filtro espec\u00edfico de palabras construido mediante experimentaci\u00f3n emp\u00edrica que admite o descarta menciones en funci\u00f3n de su carga contextual e hist\u00f3rica.<\/p>\n

Finalmente se filtra la informaci\u00f3n con un algoritmo de aprendizaje cl\u00e1sico (spam vs. ham) que detecta las menciones que hacen referencia al turismo. En esta fase, el cedazo incorpora criterios vinculados con la actualidad informativa.<\/p>\n

Todos los datos se tratan con t\u00e9cnicas de Procesamiento de Lenguaje Natural (PNL) en un formato multiidioma que incluye segmentaci\u00f3n de frases, tokenizaci\u00f3n, stemming (reducci\u00f3n de la palabra a su ra\u00edz), etiquetado gramatical, etc.<\/p>\n

Cada uno de los segmentos de datos recogidos y procesados pasan a determinar su \u00edndice correspondiente mediante una f\u00f3rmula propia. Es un algoritmo configurado a partir de nuestra experiencia, centrada y especializada en el Big Data tur\u00edstico. Los \u00edndices Mabrian<\/a> son una potente herramienta de an\u00e1lisis y prospecci\u00f3n que monitorizan y prev\u00e9n comportamientos en mercados espec\u00edficos y pueden utilizarse para tomar las decisiones m\u00e1s adecuadas en cada momento.<\/p>\n","protected":false},"excerpt":{"rendered":"

Gracias al proceso de Big Data desarrollado por Mabrian podemos valorar la satisfacci\u00f3n de los visitantes de un destino concreto. Este \u00edndice, denominado \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global, se elabora cruzando datos en relaci\u00f3n a la percepci\u00f3n del producto tur\u00edstico \u2014calculada sobre el TPi de Mabrian-, las sensaciones reportadas sobre la seguridad en la zona \u2013Mabrian PSi- y el indicador de satisfacci\u00f3n con respecto al clima \u2014PCi de Mabrian.<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1904,1988,1889,1977],"tags":[],"class_list":["post-620","post","type-post","status-publish","format-standard","category-academia","category-destinos-inteligentes","category-lo-ultimo-de-mabrian","category-smart-destinations"],"yoast_head":"\nLos \u00edndices Mabrian: \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global - Data Appeal<\/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:\/\/datappeal.io\/mabrian-global-tourism-satisfaction-index-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Los \u00edndices Mabrian: \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global - Data Appeal\" \/>\n<meta property=\"og:description\" content=\"Gracias al proceso de Big Data desarrollado por Mabrian podemos valorar la satisfacci\u00f3n de los visitantes de un destino concreto. Este \u00edndice, denominado \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global, se elabora cruzando datos en relaci\u00f3n a la percepci\u00f3n del producto tur\u00edstico \u2014calculada sobre el TPi de Mabrian-, las sensaciones reportadas sobre la seguridad en la zona \u2013Mabrian PSi- y el indicador de satisfacci\u00f3n con respecto al clima \u2014PCi de Mabrian.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datappeal.io\/mabrian-global-tourism-satisfaction-index-big-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Appeal\" \/>\n<meta property=\"article:published_time\" content=\"2017-11-27T13:58:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-30T11:52:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datappeal.io\/wp-content\/uploads\/2017\/11\/screen-shot-2017-11-27-at-11-35-18.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1722\" \/>\n\t<meta property=\"og:image:height\" content=\"956\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Aigu\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Aigu\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/\"},\"author\":{\"name\":\"Aigu\",\"@id\":\"https:\\\/\\\/datappeal.io\\\/#\\\/schema\\\/person\\\/b9370e963b93f8620a165feb3574a9a8\"},\"headline\":\"Los \u00edndices Mabrian: \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global\",\"datePublished\":\"2017-11-27T13:58:35+00:00\",\"dateModified\":\"2026-06-30T11:52:55+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/\"},\"wordCount\":589,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/datappeal.io\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/datappeal.io\\\/wp-content\\\/uploads\\\/2017\\\/11\\\/screen-shot-2017-11-27-at-11-35-18.png\",\"articleSection\":[\"Academia\",\"Destinos Inteligentes\",\"Lo \u00faltimo de Mabrian\",\"Smart Destinations\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/\",\"url\":\"https:\\\/\\\/datappeal.io\\\/mabrian-global-tourism-satisfaction-index-big-data\\\/\",\"name\":\"Los \u00edndices Mabrian: \u00edndice de Satisfacci\u00f3n Tur\u00edstica Global - 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