{"id":1029,"date":"2015-08-04T16:44:05","date_gmt":"2015-08-04T16:44:05","guid":{"rendered":"http:\/\/localhost\/blog\/?p=1029"},"modified":"2018-10-16T08:19:38","modified_gmt":"2018-10-16T08:19:38","slug":"data-science-tool-for-making-better-decisions","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/pt\/data-science-tool-for-making-better-decisions\/","title":{"rendered":"Ci\u00eancia dos dados: Uma ferramenta para a tomada de melhores decis\u00f5es"},"content":{"rendered":"

Dizem que por tr\u00e1s de cada pessoa bem-sucedida, h\u00e1 toneladas de caf\u00e9.<\/p>\n

O caf\u00e9 \u00e9 a bebida de escolha para muitos de n\u00f3s. Hoje um bebedor de caf\u00e9 enfrenta um problema de \"sobrecarga de escolha\" - h\u00e1 muitas variedades, misturas e torrefa\u00e7\u00f5es para escolher. Existe uma maneira de simplificar este problema? Como a ci\u00eancia dos dados pode nos ajudar a racionalizar nossas escolhas sem sacrificar as prefer\u00eancias individuais?<\/p>\n

A ci\u00eancia dos dados refere-se \u00e0 descoberta de conhecimento a partir de grandes volumes de dados estruturados ou n\u00e3o estruturados. Atrav\u00e9s dos avan\u00e7os na computa\u00e7\u00e3o, e gra\u00e7as \u00e0 Internet, a ci\u00eancia dos dados continua a nos informar sobre padr\u00f5es e tend\u00eancias observadas em nossos comportamentos. Com a ajuda da ci\u00eancia de dados, podemos obter uma vis\u00e3o sobre nossos pr\u00f3prios gostos e avers\u00f5es subjetivas (em rela\u00e7\u00e3o ao caf\u00e9 de escolha) atrav\u00e9s da observa\u00e7\u00e3o cont\u00ednua e quantificada de nossos comportamentos.<\/p>\n

Uma empresa de cinco anos de Brooklyn, 'Coffee Craft' aproveitou o poder da ci\u00eancia de dados para fornecer aos seus clientes gr\u00e3os de caf\u00e9 de sua escolha. O Coffee Craft \u00e9 um servi\u00e7o de assinatura que oferece a flexibilidade de comprar gr\u00e3os de caf\u00e9 com base em uma escolha anterior ou experimentar novos gr\u00e3os de caf\u00e9 de acordo com a prefer\u00eancia individual.<\/p>\n

Michael Horn, fundador da Coffee Craft, e sua equipe empreenderam o \"Projeto DNA do Caf\u00e9\" onde provaram caf\u00e9 de torrefadores de caf\u00e9 independentes em todo o mundo para identificar tra\u00e7os e perfis de sabor de v\u00e1rios gr\u00e3os de caf\u00e9. Al\u00e9m disso, a empresa havia pesquisado os consumidores de caf\u00e9 para entender as prefer\u00eancias de seus clientes, o que era crucial para lan\u00e7ar seu servi\u00e7o de assinatura. Enquanto se inscreve neste servi\u00e7o de compra de caf\u00e9, um novo cliente preenche uma pequena pesquisa sobre as prefer\u00eancias de caf\u00e9.<\/p>\n

Com base nestas pesquisas, cientistas de dados qualificados<\/a> A luta pelo sucesso da empresa criou um algoritmo que sugere ao cliente novas torras de caf\u00e9 para comprar. O servi\u00e7o 'Coffee Craft' pode ent\u00e3o enviar pacotes de amostras do caf\u00e9 rec\u00e9m sugerido para seus clientes. Mais tarde, os clientes classificam esses novos gr\u00e3os de caf\u00e9 a cada m\u00eas, adicionando assim mais dados a seu perfil. Esta adi\u00e7\u00e3o cont\u00ednua de dados ajuda o cliente a obter sugest\u00f5es personalizadas e, assim, uma x\u00edcara de caf\u00e9 satisfat\u00f3ria a cada dia. Para um cliente que desconhece o padr\u00e3o de suas pr\u00f3prias escolhas, a sugest\u00e3o da empresa sobre um determinado caf\u00e9 pode trazer uma surpresa e alegria.<\/p>\n

Usando esta nova abordagem de combinar a ci\u00eancia dos dados com a escolha de uma bebida, a Coffee Craft j\u00e1 vendeu mais de 50.000 libras de caf\u00e9. Al\u00e9m disso, ele tem desfrutado consistentemente do apoio dos investidores. Empresas locais, em particular torrefadores de caf\u00e9 independentes, beneficiaram-se dos empreendimentos do Coffee Craft e agora s\u00e3o apreciadas por bebedores de caf\u00e9 de todo o pa\u00eds. Em resumo, a ci\u00eancia dos dados contribuiu significativamente na tomada de decis\u00f5es corretas para a empresa e seus clientes.<\/p>\n

O sucesso do Coffee Craft ir\u00e1, assim o esperamos, inspirar outros iniciantes a usar a experi\u00eancia de cientistas de dados freelance<\/a>e usar os dados dispon\u00edveis para identificar, atualizar e atender de acordo com as prefer\u00eancias do cliente. O modelo de servi\u00e7o de assinatura \u00e9 adotado por empresas que vendem produtos de beleza, acess\u00f3rios de moda e at\u00e9 mesmo vinhos. Continuaremos a experimentar o problema da sobrecarga de escolha, mas esperamos que a ci\u00eancia dos dados continue a ser nosso salvador.<\/p>","protected":false},"excerpt":{"rendered":"

They say that behind every successful person, there is tons of coffee. Coffee is the beverage of choice for many of us. Today a coffee drinker faces a \u2018choice overload\u2019 problem – there are too many varieties, blends, and roasts to choose from. Is there a way to simplify this problem? How can data science<\/p>\n

Leia mais<\/a><\/div>","protected":false},"author":9,"featured_media":1983,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[398],"tags":[18,72,101,81,174,78],"acf":[],"yoast_head":"\nData science: A tool for making better decisions<\/title>\n<meta name=\"description\" content=\"Leverage the power of data science to make better decisions and achieve your desired outcomes and grow your business quickly!\" \/>\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.kolabtree.com\/blog\/pt\/data-science-tool-for-making-better-decisions\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science: A tool for making better decisions\" \/>\n<meta property=\"og:description\" content=\"Leverage the power of data science 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