{"id":1166,"date":"2023-01-20T15:00:27","date_gmt":"2023-01-20T14:00:27","guid":{"rendered":"https:\/\/revfine.com\/?p=1166"},"modified":"2024-06-04T21:48:02","modified_gmt":"2024-06-04T19:48:02","slug":"big-data-hospitality-industry","status":"publish","type":"post","link":"https:\/\/www.revfine.com\/pt\/big-data-hospitality-industry\/","title":{"rendered":"5 maneiras pelas quais o big data pode ajudar no setor de hospitalidade"},"content":{"rendered":"<p><em>Os hot\u00e9is e outras empresas hoteleiras est\u00e3o cada vez mais a compreender o conceito de big data e as in\u00fameras formas como este pode ajud\u00e1-los a gerar mais receitas e a proporcionar uma melhor experi\u00eancia ao cliente. Neste artigo, voc\u00ea aprender\u00e1 mais sobre big data, por que ele se tornou t\u00e3o importante e como pode ser aproveitado para beneficiar hot\u00e9is, resorts e outras empresas hoteleiras.<\/em><\/p>\n<h2>O que \u00e9 Big Data?<\/h2>\n<p><a href=\"https:\/\/www.revfine.com\/pt\/big-data-travel-industry\/\">Big data<\/a> \u00e9 a frase usada para descrever as quantidades extremamente grandes de dados que entram diariamente em uma empresa. Os dados podem ser extremamente variados e vir de uma ampla gama de fontes diferentes. Dentro de <a href=\"https:\/\/www.revfine.com\/pt\/gestao-de-hospitalidade\/\">gest\u00e3o de hospitalidade<\/a>, esses conjuntos de dados s\u00e3o mais comumente associados ao comportamento e \u00e0s intera\u00e7\u00f5es do cliente. De acordo com <a href=\"https:\/\/www.stellarmr.com\/report\/Big-Data-Market\/1141\" target=\"_blank\" rel=\"noopener\">o Relat\u00f3rio de Mercado de Big Data <\/a>pela Stellar Market Research, o mercado global de big data dever\u00e1 atingir $1.171,16 bilh\u00f5es at\u00e9 2030.<\/p>\n<p>Para que os dados sejam classificados como<em> &#039;grandes dados&#039;,<\/em> ele precisa ser muito grande em volume para ser processado pelos m\u00e9todos tradicionais de processamento de dados. Crucialmente, ele pode ser usado nos campos de an\u00e1lise preditiva e comportamental. Ele pode ajudar as empresas a identificar as principais tend\u00eancias ou padr\u00f5es que informam suas pr\u00e1ticas de neg\u00f3cios.<\/p>\n<h3>V\u00eddeo: Big Data explicado<\/h3>\n<div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:360px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:60%;\" ><iframe title=\"Player de v\u00eddeo 1 do YouTube\" src=\"https:\/\/www.youtube.com\/embed\/TzxmjbL-i4Y?wmode=transparent&autoplay=0\" width=\"600\" height=\"360\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div>\n<h2>5 maneiras pelas quais o big data pode beneficiar o setor de hospitalidade<\/h2>\n<p>De acordo com <a href=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2017\/07\/the_big_data_payoff-turning_big_data_into_business_value.pdf\" target=\"_blank\" rel=\"noopener\">o Relat\u00f3rio de resultados de Big Data<\/a> da Cap Gemini Consulting, 88% dos entrevistados relatam que iniciativas de big data s\u00e3o lucrativas ou de equil\u00edbrio. Abaixo est\u00e3o as cinco maneiras pelas quais o big data pode ser usado como uma vantagem no setor hoteleiro.<\/p>\n<h3>1. Gerenciamento de receita<\/h3>\n<p>Atrav\u00e9s dos dados que recolhem e das informa\u00e7\u00f5es dispon\u00edveis online, os hot\u00e9is podem utilizar big data para os ajudar com uma estrat\u00e9gia de gest\u00e3o de receitas. Em particular, permite-lhes realizar an\u00e1lises preditivas, permitindo aos propriet\u00e1rios de hot\u00e9is antecipar com mais precis\u00e3o os n\u00edveis de procura de quartos de hotel.<\/p>\n<p>Exemplos de dados que podem ser \u00fateis aqui incluem taxas de ocupa\u00e7\u00e3o anteriores, reservas atuais no sistema, diversas m\u00e9tricas importantes de desempenho e dados externos, como informa\u00e7\u00f5es sobre f\u00e9rias escolares ou eventos locais. Depois que o big data tiver sido usado com sucesso para prever a demanda, os profissionais do setor hoteleiro poder\u00e3o otimizar as tarifas dos quartos e maximizar <a href=\"https:\/\/www.revfine.com\/pt\/gerenciamento-de-receitas\/\">receita<\/a> e lucro.<\/p>\n<h4><strong>Tabela: Exemplos de maneiras pelas quais o Big Data pode beneficiar a ind\u00fastria hoteleira no gerenciamento de receitas<\/strong><\/h4>\n<\/p>\n<div class=\"table-1\">\n<table width=\"100%\">\n<thead>\n<tr>\n<th align=\"left\"><strong>Aplica\u00e7\u00e3o de Big Data<\/strong><\/th>\n<th align=\"left\"><strong>Descri\u00e7\u00e3o<\/strong><\/th>\n<th align=\"left\"><strong>Vantagens para gerenciamento de receitas<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\"><strong>Otimiza\u00e7\u00e3o de pre\u00e7os<\/strong><\/td>\n<td align=\"left\">Utilizando dados hist\u00f3ricos e an\u00e1lises para definir pre\u00e7os ideais com base nas tend\u00eancias de demanda.<\/td>\n<td align=\"left\">Maximiza a receita ajustando dinamicamente os pre\u00e7os para atender \u00e0 demanda do mercado.<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Previs\u00e3o de ocupa\u00e7\u00e3o<\/strong><\/td>\n<td align=\"left\">Analisar padr\u00f5es e tend\u00eancias para prever a demanda futura por quartos.<\/td>\n<td align=\"left\">Melhora o planejamento e a efici\u00eancia operacional ao antecipar os n\u00edveis de ocupa\u00e7\u00e3o.<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Segmenta\u00e7\u00e3o de clientes<\/strong><\/td>\n<td align=\"left\">Classificar os h\u00f3spedes com base no comportamento, prefer\u00eancias e h\u00e1bitos de consumo.<\/td>\n<td align=\"left\">Aprimora os esfor\u00e7os de marketing direcionados para aumentar as reservas de segmentos de alto valor.<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Previs\u00e3o de demanda<\/strong><\/td>\n<td align=\"left\">Utiliza\u00e7\u00e3o de dados para prever per\u00edodos de alta e baixa demanda.<\/td>\n<td align=\"left\">Permite ajustes proativos em marketing e pessoal durante hor\u00e1rios de pico e fora de pico.<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Gest\u00e3o de rendimento<\/strong><\/td>\n<td align=\"left\">Analisar tend\u00eancias de reservas e estrat\u00e9gias de pre\u00e7os para maximizar a receita por quarto dispon\u00edvel (RevPAR).<\/td>\n<td align=\"left\">Otimiza a receita por meio do controle estrat\u00e9gico sobre estoque e pre\u00e7os.<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>An\u00e1lise de mercado<\/strong><\/td>\n<td align=\"left\">Benchmarking em rela\u00e7\u00e3o aos concorrentes e compreens\u00e3o da din\u00e2mica do mercado.<\/td>\n<td align=\"left\">Fornece insights estrat\u00e9gicos para se manter competitivo e capitalizar as oportunidades de mercado.<\/td>\n<\/tr>\n<tr>\n<td align=\"left\"><strong>Marketing Personalizado<\/strong><\/td>\n<td align=\"left\">Adaptar campanhas de marketing \u00e0s prefer\u00eancias individuais identificadas por meio de dados.<\/td>\n<td align=\"left\">Aumenta as taxas de convers\u00e3o entregando ofertas e promo\u00e7\u00f5es relevantes.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\n<h3>2. Marketing direcionado<\/h3>\n<p>Os h\u00f3spedes do hotel s\u00e3o extremamente variados, desde viajantes de neg\u00f3cios a fam\u00edlias, desde aqueles que operam com or\u00e7amento limitado at\u00e9 aqueles que procuram algo especial para uma lua de mel. Al\u00e9m de ajudar na gest\u00e3o financeira de um hotel, o big data tamb\u00e9m pode ajudar a ind\u00fastria hoteleira a direcionar de forma mais eficaz o seu conte\u00fado de marketing.<\/p>\n<p>De fato, o big data permite que os profissionais de marketing identifiquem as melhores oportunidades para seus neg\u00f3cios espec\u00edficos e segmentem dados demogr\u00e1ficos importantes, muito mais especificamente, especialmente por meio de publicidade online. Isso tamb\u00e9m pode incluir localiza\u00e7\u00e3o e tempo espec\u00edfico <a href=\"https:\/\/www.revfine.com\/pt\/hotel-marketing-estrategias\/\">marketing<\/a>, permitindo que os hot\u00e9is alcancem os clientes quando a publicidade for mais relevante para eles ou onde \u00e9 mais prov\u00e1vel que eles queiram v\u00ea-la.<\/p>\n<h3>3. Experi\u00eancia do cliente<\/h3>\n<p>Outra maneira pela qual o big data pode ser de grande utilidade na ind\u00fastria hoteleira \u00e9 no <a href=\"https:\/\/www.revfine.com\/pt\/experiencia-do-cliente-industria-hoteleira\/\">experi\u00eancia do cliente<\/a> que as empresas hoteleiras oferecem. O big data pode ajudar os propriet\u00e1rios de hot\u00e9is e as equipes de atendimento ao cliente a identificar tend\u00eancias significativas nas opini\u00f5es dos clientes e aprender sobre seus pontos fortes e fracos.<\/p>\n<p>Isso pode exigir a coleta de dados de uso do servi\u00e7o, feedback de clientes nas redes sociais, an\u00e1lises de sites e outras informa\u00e7\u00f5es relacionadas. Felizmente, o <a href=\"https:\/\/www.revfine.com\/pt\/industria-hoteleira\/\">Ind\u00fastria hoteleira<\/a> \u00e9 uma \u00e1rea onde os clientes ficam felizes em deixar suas opini\u00f5es serem ouvidas, embora coletar dados de diversas fontes e analis\u00e1-los possa ser um desafio. Uma vez feito isso, no entanto, pode permitir que os hot\u00e9is entendam o que os clientes gostam e onde s\u00e3o necess\u00e1rias melhorias.<\/p>\n<h3>4. Servi\u00e7os Adicionais<\/h3>\n<p>Os hot\u00e9is interagem com clientes atuais e potenciais, proporcionando uma oportunidade de recolher grandes quantidades de dados. Quando recolhidos e analisados cuidadosamente, os dados podem ser extremamente reveladores, fornecendo informa\u00e7\u00f5es sobre os servi\u00e7os que os clientes utilizam e os servi\u00e7os que solicitam ou questionam.<\/p>\n<p>Isto pode ajudar os propriet\u00e1rios de hot\u00e9is a tomar decis\u00f5es sobre novos servi\u00e7os a introduzir e servi\u00e7os que j\u00e1 n\u00e3o s\u00e3o necess\u00e1rios. Por exemplo, um hotel pode reformar sua academia se os clientes perguntarem regularmente sobre m\u00e1quinas que ele n\u00e3o possui. Al\u00e9m disso, os big data podem informar decis\u00f5es relacionadas com parcerias com outras empresas, com poss\u00edveis exemplos incluindo OTAs, empresas de t\u00e1xi locais e bares ou restaurantes pr\u00f3ximos.<\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-30726\" src=\"https:\/\/www.revfine.com\/wp-content\/uploads\/2023\/01\/Big-Data-Hospitality-Industry-Additional-Services.jpg\" alt=\"Ind\u00fastria hoteleira de Big Data - Servi\u00e7os adicionais\" width=\"1000\" height=\"450\" srcset=\"https:\/\/www.revfine.com\/wp-content\/uploads\/2023\/01\/Big-Data-Hospitality-Industry-Additional-Services-300x135.jpg 300w, https:\/\/www.revfine.com\/wp-content\/uploads\/2023\/01\/Big-Data-Hospitality-Industry-Additional-Services.jpg 1000w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<h3>5. Escotismo de competi\u00e7\u00e3o<\/h3>\n<p>Finalmente, o big data tamb\u00e9m pode ser usado para ter uma ideia mais clara dos concorrentes e para ver quais outras empresas operando no <a href=\"https:\/\/www.revfine.com\/pt\/setor-de-hospitalidade\/\">Setor de hospitalidade<\/a> est\u00e3o oferecendo a seus clientes. Na era da Internet, h\u00e1 muitos lugares para conhecer as opini\u00f5es dos clientes, incluindo sites de avalia\u00e7\u00f5es, m\u00eddias sociais, f\u00f3runs da Internet e publica\u00e7\u00f5es de viagens. Esses dados podem potencialmente ser coletados e processados para encontrar as tend\u00eancias que importam.<\/p>\n<p>Por exemplo, um concorrente pode ser regularmente elogiado pelo card\u00e1pio do restaurante ou criticado pelo atendimento ao cliente. Conhecer esta informa\u00e7\u00e3o pode ajudar um hotel a capitalizar as defici\u00eancias dos seus rivais e saber onde os seus rivais os superam.<\/p>\n<h3>V\u00eddeo: Como o Big Data pode revolucionar a ind\u00fastria hoteleira<\/h3>\n<div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:360px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:60%;\" ><iframe title=\"Player de v\u00eddeo 2 do YouTube\" src=\"https:\/\/www.youtube.com\/embed\/lSSg7q1O4v8?wmode=transparent&autoplay=0\" width=\"600\" height=\"360\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div>\n<h2>Perguntas frequentes sobre Big Data no setor hoteleiro<\/h2>\n<div class=\"accordian fusion-accordian\" style=\"--awb-border-size:1px;--awb-icon-size:13px;--awb-content-font-size:15px;--awb-icon-alignment:left;--awb-hover-color:#f9f9f9;--awb-border-color:#cccccc;--awb-background-color:#ffffff;--awb-divider-color:#e0dede;--awb-divider-hover-color:#e0dede;--awb-icon-color:#ffffff;--awb-title-color:#212121;--awb-content-color:#212121;--awb-icon-box-color:#333333;--awb-toggle-hover-accent-color:#d4a763;--awb-title-font-family:&quot;Antic Slab&quot;;--awb-title-font-weight:400;--awb-title-font-style:normal;--awb-title-font-size:20px;--awb-content-font-family:&quot;Roboto&quot;;--awb-content-font-style:normal;--awb-content-font-weight:400;\"><div class=\"panel-group fusion-toggle-icon-boxed\" id=\"accordion-1166-1\"><div class=\"fusion-panel panel-default panel-585b3f1c50593e80c fusion-toggle-has-divider\" style=\"--awb-title-color:#212121;--awb-content-color:#212121;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_585b3f1c50593e80c\"><a aria-expanded=\"false\" aria-controls=\"585b3f1c50593e80c\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-1166-1\" data-target=\"#585b3f1c50593e80c\" href=\"#585b3f1c50593e80c\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Como o big data est\u00e1 sendo usado na ind\u00fastria hoteleira?<\/span><\/a><\/h3><\/div><div id=\"585b3f1c50593e80c\" class=\"panel-collapse collapse\" aria-labelledby=\"toggle_585b3f1c50593e80c\"><div class=\"panel-body toggle-content fusion-clearfix\"><\/p>\n<p>A ind\u00fastria hoteleira utiliza big data para analisar v\u00e1rios elementos relacionados \u00e0s necessidades e comportamentos dos h\u00f3spedes. Al\u00e9m da an\u00e1lise comportamental, o big data tamb\u00e9m pode ser usado para an\u00e1lises preditivas, marketing personalizado, efici\u00eancia operacional e gest\u00e3o de receitas.<\/p>\n<p><\/div><\/div><\/div><div class=\"fusion-panel panel-default panel-3a8ae530ccf9277f5 fusion-toggle-has-divider\" style=\"--awb-title-color:#212121;--awb-content-color:#212121;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_3a8ae530ccf9277f5\"><a aria-expanded=\"false\" aria-controls=\"3a8ae530ccf9277f5\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-1166-1\" data-target=\"#3a8ae530ccf9277f5\" href=\"#3a8ae530ccf9277f5\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Os hot\u00e9is usam big data?<\/span><\/a><\/h3><\/div><div id=\"3a8ae530ccf9277f5\" class=\"panel-collapse collapse\" aria-labelledby=\"toggle_3a8ae530ccf9277f5\"><div class=\"panel-body toggle-content fusion-clearfix\"><\/p>\n<p>Os hot\u00e9is costumam usar big data do comportamento do cliente para melhorar o desempenho geral. Isso inclui melhorias nas estrat\u00e9gias de marketing e experi\u00eancias aprimoradas dos h\u00f3spedes.<\/p>\n<p><\/div><\/div><\/div><div class=\"fusion-panel panel-default panel-a3b572859af7dc13c fusion-toggle-has-divider\" style=\"--awb-title-color:#212121;--awb-content-color:#212121;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_a3b572859af7dc13c\"><a aria-expanded=\"false\" aria-controls=\"a3b572859af7dc13c\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-1166-1\" data-target=\"#a3b572859af7dc13c\" href=\"#a3b572859af7dc13c\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Quais s\u00e3o os desafios da ind\u00fastria hoteleira na an\u00e1lise de dados?<\/span><\/a><\/h3><\/div><div id=\"a3b572859af7dc13c\" class=\"panel-collapse collapse\" aria-labelledby=\"toggle_a3b572859af7dc13c\"><div class=\"panel-body toggle-content fusion-clearfix\"><\/p>\n<p>O principal desafio \u00e9 a falta de especialistas qualificados para trabalhar com os dados. Junto com isso vem o custo de implementa\u00e7\u00e3o de sistemas necess\u00e1rios para an\u00e1lise avan\u00e7ada de dados.<\/p>\n<p><\/div><\/div><\/div><div class=\"fusion-panel panel-default panel-d61d6defd26593713 fusion-toggle-has-divider\" style=\"--awb-title-color:#212121;--awb-content-color:#212121;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_d61d6defd26593713\"><a aria-expanded=\"false\" aria-controls=\"d61d6defd26593713\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-1166-1\" data-target=\"#d61d6defd26593713\" href=\"#d61d6defd26593713\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Um analista de dados pode trabalhar em um hotel?<\/span><\/a><\/h3><\/div><div id=\"d61d6defd26593713\" class=\"panel-collapse collapse\" aria-labelledby=\"toggle_d61d6defd26593713\"><div class=\"panel-body toggle-content fusion-clearfix\"><\/p>\n<p>Sim, os hot\u00e9is empregam analistas de dados para apoiar a tomada de decis\u00f5es em \u00e1reas relacionadas, como marketing e atendimento ao cliente. Eles fazem isso analisando mudan\u00e7as de mercado, dados de h\u00f3spedes e muito mais.<\/p>\n<p><\/div><\/div><\/div><div class=\"fusion-panel panel-default panel-5f46c6bc54ed3a533 fusion-toggle-has-divider\" style=\"--awb-title-color:#212121;--awb-content-color:#212121;\"><div class=\"panel-heading\"><h3 class=\"panel-title toggle\" id=\"toggle_5f46c6bc54ed3a533\"><a aria-expanded=\"false\" aria-controls=\"5f46c6bc54ed3a533\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-1166-1\" data-target=\"#5f46c6bc54ed3a533\" href=\"#5f46c6bc54ed3a533\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Os hot\u00e9is precisam de analistas de dados?<\/span><\/a><\/h3><\/div><div id=\"5f46c6bc54ed3a533\" class=\"panel-collapse collapse\" aria-labelledby=\"toggle_5f46c6bc54ed3a533\"><div class=\"panel-body toggle-content fusion-clearfix\"><\/p>\n<p>Sim, a maioria dos hot\u00e9is precisa de analistas de dados se quiserem trabalhar de forma eficaz com os dados coletados. Caso contr\u00e1rio, n\u00e3o ser\u00e1 totalmente aproveitado para proporcionar otimiza\u00e7\u00e3o de receitas, melhorias na satisfa\u00e7\u00e3o dos h\u00f3spedes e vantagens competitivas.<\/p>\n<p><\/div><\/div><\/div><\/div><\/div>\n<p><strong>Big data \u00e9 um conceito-chave a ser considerado na ind\u00fastria hoteleira. Pode ajudar propriet\u00e1rios de hot\u00e9is e outros l\u00edderes empresariais a identificar padr\u00f5es e tend\u00eancias importantes. Como resultado, pode ajudar a melhorar o gerenciamento de receitas, otimizar os esfor\u00e7os de marketing e aprimorar a experi\u00eancia do cliente.<\/strong><\/p>\n<h2>Voc\u00ea gostou deste artigo sobre o setor de hospitalidade de Big Data?<\/h2>\n<p>Voc\u00ea tamb\u00e9m pode estar interessado nos seguintes artigos:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.revfine.com\/pt\/hotel-inovacoes\/\">Inova\u00e7\u00f5es Hoteleiras; Diferentes maneiras de revolucionar o seu neg\u00f3cio hoteleiro<\/a><\/li>\n<li><a href=\"https:\/\/www.revfine.com\/pt\/chatgpt-hotel\/\">Guia de hot\u00e9is do ChatGPT: saiba como os hot\u00e9is podem se beneficiar do ChatGPT!<\/a><\/li>\n<li><a href=\"https:\/\/www.revfine.com\/pt\/nft-hotel\/\">Oportunidades de hotel NFT: como os hot\u00e9is podem usar a tecnologia NFT<\/a><\/li>\n<li><a href=\"https:\/\/www.revfine.com\/pt\/videos-de-realidade-virtual\/\">Dicas obrigat\u00f3rias para criar o v\u00eddeo de realidade virtual perfeito<\/a><\/li>\n<li><a href=\"https:\/\/www.revfine.com\/pt\/blockchain-tecnologia-hospitalidade-industria\/\">Tecnologia Blockchain e seus usos na ind\u00fastria da hospitalidade<\/a><\/li>\n<\/ul>\n<div class='code-block code-block-95' style='margin: 8px 0; clear: both;'>\n<h3>Mais dicas para expandir seus neg\u00f3cios<\/h3>\n<strong>Revfine.com<\/strong> \u00e9 a plataforma de conhecimento l\u00edder para a ind\u00fastria de hospitalidade e viagens. Profissionais usam nossos insights, estrat\u00e9gias e dicas pr\u00e1ticas para se inspirar, otimizar receita, inovar processos e melhorar a experi\u00eancia do cliente.<br><br>\n\nExplore conselhos de especialistas sobre gest\u00e3o, marketing, revenue management, opera\u00e7\u00f5es, software e tecnologia em nosso dedicado <span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.revfine.com\/pt\/category\/blog-do-hotel\/\">Hotel<\/a><\/span>, <span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.revfine.com\/pt\/category\/hospitalidade\/\">Hospitalidade<\/a><\/span>, e <span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.revfine.com\/pt\/category\/viajar-por\/\">Viagem de Turismo<\/a><\/span> categorias.<br>\n\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Os hot\u00e9is e outras empresas hoteleiras est\u00e3o cada vez mais a compreender o conceito de big data e as in\u00fameras formas como este pode ajud\u00e1-los a gerar mais receitas e a proporcionar uma melhor experi\u00eancia ao cliente. Neste artigo, voc\u00ea aprender\u00e1 mais sobre big data, por que ele se tornou t\u00e3o importante e como pode ser aproveitado para beneficiar hot\u00e9is, resorts e outras empresas hoteleiras.<\/p>","protected":false},"author":24,"featured_media":1167,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[782,779,198,783],"tags":[],"class_list":["post-1166","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-emerging-hospitality-technology","category-general-hospitality-marketing","category-technology","category-hospitality-technology-trends"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>5 Ways Big Data Can Help Those in the Hospitality Industry<\/title>\n<meta name=\"description\" content=\"In this article, you learn about big data in the hospitality industry and why it became important. 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