{"id":5986,"date":"2021-10-26T15:16:04","date_gmt":"2021-10-26T20:16:04","guid":{"rendered":"http:\/\/blog.bindy.com\/?p=5986"},"modified":"2025-08-19T14:06:59","modified_gmt":"2025-08-19T18:06:59","slug":"tendencias-de-analise-de-dados-no-setor-de-estacionamento","status":"publish","type":"post","link":"https:\/\/blog.bindy.com\/pt\/data-analytics-trends-in-the-parking-industry\/","title":{"rendered":"Tend\u00eancias de an\u00e1lise de dados no setor de estacionamento"},"content":{"rendered":"

\u00c9 um fato simples, todas as empresas do mundo podem se beneficiar da coleta e an\u00e1lise de dados de clientes. Em nenhum lugar os efeitos da utiliza\u00e7\u00e3o de dados podem desempenhar um papel maior ou ter um impacto mais positivo do que no setor de estacionamento. O tempo de entrada, o tempo de espera, as taxas, a dura\u00e7\u00e3o da estadia, os eventos, as condi\u00e7\u00f5es meteorol\u00f3gicas, etc., todos desempenham um papel nas opera\u00e7\u00f5es di\u00e1rias de estacionamento e, consequentemente, no destaque do uso das instala\u00e7\u00f5es e dos padr\u00f5es de estacionamento.<\/p>\n\n\n\n

Embora a coleta de dados possa ser um pouco desafiadora, o trabalho real come\u00e7a assim que voc\u00ea os coleta. Saber que 86 ve\u00edculos passaram pelos seus port\u00f5es entre 8h e 9h \u00e9 \u00f3timo, mas como voc\u00ea pode monetizar esse tipo de dado? \u00c9 a\u00ed que entra a an\u00e1lise de dados; ajudando a transformar dados brutos em dinheiro e melhorando o processo de tomada de decis\u00e3o. Aqui est\u00e3o meus pensamentos sobre a nova tend\u00eancia de an\u00e1lise de dados no setor de estacionamento e como garantir que seu operador transforme dados brutos em sucesso bruto.<\/p>\n\n\n\n

\u201cDados s\u00e3o o novo petr\u00f3leo\u201d<\/strong><\/h1>\n\n\n\n

O grande buzz para as empresas hoje em dia \u00e9 que \u201cdados s\u00e3o o novo petr\u00f3leo\u201d. Infelizmente, ainda n\u00e3o houve um \u201cgeyser\u201d de informa\u00e7\u00f5es fluindo dos operadores de estacionamento ou do setor de estacionamento. Quase todas as operadoras de estacionamento do mundo pretendem ter alguma forma de solu\u00e7\u00e3o de \u201cData Analytics\u201d ou \u201cBusiness Intelligence\u201d para seus clientes, mas a verdade \u00e9 que a maioria das operadoras possui meios muito primitivos de coleta de dados e dedicou muito pouco capital para expandir essa nova tecnologia recurso. A maioria das operadoras optou por adiar o crescimento futuro da an\u00e1lise de dados para fornecedores terceirizados, como Marca\u00e7\u00e3o<\/a>. Alternativamente, os fornecedores de equipamentos de estacionamento finalmente come\u00e7aram a fazer um esfor\u00e7o muito mais sustentado no cultivo da an\u00e1lise de dados como produto\/servi\u00e7o. Dado que seus equipamentos geralmente coletam dados de parker de qualquer maneira, por que n\u00e3o integrar uma plataforma de dados e ferramentas de an\u00e1lise tamb\u00e9m para os clientes? Faz sentido, certo?<\/p>\n\n\n\n

Mas o que os operadores de estacionamento podem ou devem fazer com os dados que obt\u00eam? Como eles podem usar essas informa\u00e7\u00f5es para melhorar as receitas e opera\u00e7\u00f5es de estacionamento para seus clientes?<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

<\/p>\n\n\n\n

Aqui est\u00e3o minhas cinco (5) principais recomenda\u00e7\u00f5es ao considerar uma solu\u00e7\u00e3o de Data Analytics ou Business Intelligence com seu operador de estacionamento:<\/p>\n\n\n\n

1. Verific\u00e1vel<\/h2>\n\n\n\n

Os operadores devem certificar que a coleta de dados brutos (por exemplo, por um m\u00eas) do equipamento de estacionamento pode ser verificada em rela\u00e7\u00e3o \u00e0s receitas relatadas para garantir que n\u00e3o haja discrep\u00e2ncias ou lacunas nos dados de base (por exemplo, transa\u00e7\u00f5es ausentes, pagamentos, eventos de port\u00e3o, etc.) antes sendo usado em qualquer plataforma ou aplicativo(s) de Business Intelligence.<\/p>\n\n\n\n

2. Piloto<\/h2>\n\n\n\n

Os operadores precisam demonstrar claramente as capacidades ou recursos comprovados de sua(s) solu\u00e7\u00e3o(\u00f5es) de Business Intelligence proposta(s). Mostrar uma apresenta\u00e7\u00e3o do PowerPoint com v\u00e1rias capturas de tela do computador n\u00e3o \u00e9 bom o suficiente. Voc\u00ea deve ser capaz de ver o trabalho do produto em tempo real em uma instala\u00e7\u00e3o real.<\/p>\n\n\n\n

3. Personaliz\u00e1vel<\/h2>\n\n\n\n

Os operadores devem garantir que os dados de estacionamento sejam acess\u00edveis em v\u00e1rios formatos para cada estacionamento e que correspondam \u00e0s caracter\u00edsticas operacionais espec\u00edficas do local (por exemplo, lotes de superf\u00edcie ao ar livre versus padr\u00f5es clim\u00e1ticos, dura\u00e7\u00e3o da estadia quando as instala\u00e7\u00f5es est\u00e3o com funcion\u00e1rios versus sem funcion\u00e1rios, volumes de transa\u00e7\u00f5es correspondentes , dividido por taxas; por dia\/m\u00eas\/ano, etc.) Quanto mais dados detalhados voc\u00ea receber, melhor!<\/p>\n\n\n\n

4. Relat\u00f3rios<\/h2>\n\n\n\n

Os operadores precisam demonstrar como planejam usar os dados de estacionamento para fornecer relat\u00f3rios \u00fateis. Por exemplo, se 48% de pessoas que entram em um estacionamento do aeroporto entre 6h e 10h estacionam na garagem mais pr\u00f3xima da entrada\/sa\u00edda do terminal e s\u00e3o respons\u00e1veis por gerar 70% da receita total do estacionamento, o que isso significa? Por que isso \u00e9 significativo? Se, neste exemplo, o operador de estacionamento puder apresentar os dados para destacar uma porcentagem maior de desembarques\/recolheres de viajantes ou estacionamentos de curta dura\u00e7\u00e3o nesta instala\u00e7\u00e3o (principalmente devido \u00e0 proximidade do terminal), o cliente poder\u00e1 considerar (ou justificar ) poss\u00edveis aumentos de tarifas ou estruturas de pre\u00e7os vari\u00e1veis (com base na demanda e por hora do dia). Pergunte ao seu operador como eles planejam capitalizar os dados coletados.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

<\/p>\n\n\n\n

5. Previs\u00e3o<\/h2>\n\n\n\n

Os operadores de estacionamento devem ser capazes de fornecer estudos de caso reais sobre como suas solu\u00e7\u00f5es de Business Intelligence utilizaram dados hist\u00f3ricos de estacionamento para prever futuras demandas de ocupa\u00e7\u00e3o em um estacionamento ou baixas ocupa\u00e7\u00f5es em outros momentos. Suas solu\u00e7\u00f5es de Business Intelligence devem ser capazes de analisar dados e prever (com razo\u00e1vel certeza) os padr\u00f5es de estacionamentos por dia, semana ou m\u00eas etc. Isso seria particularmente importante para quem procura implementar uma estrat\u00e9gia de pre\u00e7os vari\u00e1veis ou \u201cdin\u00e2micos\u201d.<\/p>\n\n\n\n

Os dados de estacionamento s\u00f3 s\u00e3o \u00fateis se forem utilizados corretamente e em seu potencial m\u00e1ximo. A coleta de dados \u00e9 apenas o primeiro passo para uma execu\u00e7\u00e3o e implementa\u00e7\u00e3o bem-sucedidas de uma solu\u00e7\u00e3o de an\u00e1lise, portanto, procure um fornecedor comprovado de produtos e servi\u00e7os. S\u00f3 ent\u00e3o voc\u00ea ser\u00e1 capaz de transformar dados brutos em sucesso bruto em seu estacionamento.<\/p>\n\n\n\n

<\/p>\n\n\n

\n
\"Ross_Frangos_headshot\"<\/figure>\n<\/div>\n\n\n

Sobre o autor:<\/p>\n\n\n\n

Ross Frangos<\/a> \u00e9 o presidente e fundador da AuditPark Services Inc<\/a>., uma empresa de consultoria de estacionamento com sede em Toronto ON. Ele \u00e9 especialista em Solicita\u00e7\u00f5es de Propostas, documentos de estacionamento e auxiliando seus clientes na contrata\u00e7\u00e3o de servi\u00e7os de gerenciamento de estacionamento.<\/p>\n\n\n\n

\n
\n
\n

 <\/h3>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

\u00c9 um fato simples, todas as empresas do mundo podem se beneficiar da coleta e an\u00e1lise de dados de clientes. Em nenhum lugar os efeitos da utiliza\u00e7\u00e3o de dados podem desempenhar um papel maior ou ter um impacto mais positivo do que no setor de estacionamento. O tempo de entrada, o tempo de espera, as taxas, a dura\u00e7\u00e3o da estadia, os eventos, as condi\u00e7\u00f5es meteorol\u00f3gicas, etc., todos desempenham um papel \u2026 Continue lendo Tend\u00eancias de an\u00e1lise de dados no setor de estacionamento<\/span> \t<\/span><\/a><\/p>","protected":false},"author":6370623,"featured_media":25788,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_crdt_document":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[10363],"tags":[677173882,413479818,185506211,48265123],"class_list":["post-5986","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-parking","tag-parking","tag-parking-audit","tag-parking-inspection","tag-parking-operations"],"yoast_head":"\nData 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