{"id":12183,"date":"2022-06-23T11:45:02","date_gmt":"2022-06-23T11:45:02","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&p=12183"},"modified":"2023-12-07T16:52:20","modified_gmt":"2023-12-07T16:52:20","slug":"data-analytics-for-small-businesses-how-data-science-can-boost-your-company","status":"publish","type":"blog","link":"https:\/\/aisuperior.com\/es\/blog\/data-analytics-for-small-businesses-how-data-science-can-boost-your-company\/","title":{"rendered":"An\u00e1lisis de datos para peque\u00f1as empresas: c\u00f3mo la ciencia de datos puede impulsar su empresa"},"content":{"rendered":"

La mayor\u00eda de los propietarios de peque\u00f1as y medianas empresas se sienten intimidados por el big data. Piensan que esta tecnolog\u00eda s\u00f3lo se aplica a grandes corporaciones que tienen equipos de cient\u00edficos de datos a su disposici\u00f3n. Seg\u00fan una encuesta de 2020 de peque\u00f1as y medianas empresas (PYME) dirigida por el Instituto de Tecnolog\u00eda de Singapur, alrededor del 70 por ciento de los encuestados no est\u00e1n adoptando ninguna soluci\u00f3n de an\u00e1lisis de datos. La mayor\u00eda se apega a hojas de c\u00e1lculo y bases de datos probadas sin aprovechar las tecnolog\u00edas basadas en la nube.<\/p>\n

Sin embargo, la inteligencia empresarial para las peque\u00f1as empresas es absolutamente fundamental para el \u00e9xito. El an\u00e1lisis de datos puede proporcionar informaci\u00f3n detallada que puede guiar las decisiones comerciales, incluidas la estrategia, la producci\u00f3n, las operaciones y el marketing. Lo que nos demostraron las perturbaciones de los \u00faltimos a\u00f1os es que aferrarse a las formas tradicionales de operar puede generar grandes p\u00e9rdidas. Para evolucionar y adaptarse a las tendencias y condiciones del mercado en constante cambio, las peque\u00f1as empresas deben dejar atr\u00e1s sus hojas de Excel y unirse a la migraci\u00f3n de datos a la nube.<\/p>\n

Casos de uso de\u00a0<\/strong>an\u00e1lisis de big data para peque\u00f1as empresas<\/strong><\/h3>\n

Primero hay que aclarar una cosa. Los macrodatos por s\u00ed solos no ayudar\u00e1n a las peque\u00f1as empresas a transformar sus estrategias de la noche a la ma\u00f1ana. Es vital que las PYMES analicen primero sus procesos existentes, los tipos de datos que ya tienen y las tecnolog\u00edas que analizar\u00e1n mejor estos conjuntos de datos y los convertir\u00e1n en puntos de acci\u00f3n significativos.<\/p>\n

Veamos algunas de las soluciones de inteligencia empresarial disponibles para peque\u00f1as empresas.
\nGesti\u00f3n inteligente de inventario<\/strong><\/span>
\nUno de los mayores desaf\u00edos actuales para las empresas globales son las interrupciones en la cadena de suministro causadas por la pandemia. Los retrasos en los env\u00edos y la escasez de mano de obra han provocado desabastecimientos. Por un lado, esto es particularmente cr\u00edtico para las peque\u00f1as empresas que no tienen acceso a grandes almacenes para almacenar suministros y productos. Por otro lado, hay casos en los que los proveedores entregan demasiado y las peque\u00f1as empresas terminan con productos estropeados.<\/p>\n

Con el an\u00e1lisis de datos, las peque\u00f1as empresas pueden:<\/p>\n

    \n
  • Establecer niveles de existencias para productos cr\u00edticos para evitar que se agoten.<\/li>\n
  • rastrear las entregas y errores de su almac\u00e9n<\/li>\n
  • establecer descripciones precisas de los productos<\/li>\n
  • optimizar las existencias en funci\u00f3n de las previsiones meteorol\u00f3gicas, los comentarios de los clientes y los problemas de la cadena de suministro global<\/li>\n<\/ul>\n

    Tambi\u00e9n se puede agilizar todo el proceso de pedido para que no haya retrasos y los clientes puedan recibir sus compras a tiempo o antes.
    \nExperiencia y servicio al cliente intuitivo<\/strong><\/span>
    \nLa forma en que los clientes interact\u00faan con los sitios web de peque\u00f1as empresas es fundamental para comprender la experiencia del usuario. Estas son algunas de las preguntas sobre el comportamiento del cliente que el an\u00e1lisis de big data puede responder:<\/p>\n

      \n
    • \u00bfCu\u00e1les son las p\u00e1ginas de productos que m\u00e1s visitan los clientes?<\/li>\n
    • \u00bfCu\u00e1nto tiempo permanecen en determinadas p\u00e1ginas?<\/li>\n
    • \u00bfLos chatbots est\u00e1n cumpliendo con las expectativas y respondiendo consultas con precisi\u00f3n?<\/li>\n
    • \u00bfLos algoritmos recomiendan productos y servicios adecuados?<\/li>\n<\/ul>\n

      Depender de los comentarios de los clientes ya no es suficiente. Comprender los patrones de compra subyacentes y el comportamiento de los clientes ayudar\u00e1 a las peque\u00f1as empresas a mejorar el dise\u00f1o de sus sitios web, sus productos, el servicio poscompra y la construcci\u00f3n de relaciones con los clientes. Conocer las necesidades del cliente tambi\u00e9n ayudar\u00e1 a las peque\u00f1as empresas a lanzar campa\u00f1as de marketing espec\u00edficas que sean relevantes.
      \nIdentificando tendencias<\/strong><\/span>
      \nHay tres formas en que las peque\u00f1as empresas pueden utilizar la ciencia de datos para obtener inteligencia de mercado y anticipar las necesidades y deseos de los clientes. El primero es recopilar informaci\u00f3n de compra de los consumidores, incluidos los m\u00e9todos de compra (a trav\u00e9s de un tel\u00e9fono inteligente o una tableta, por ejemplo) e incluso el momento espec\u00edfico en que las compras son altas. De esta manera, las peque\u00f1as empresas saben cu\u00e1ndo realizar ventas e incluso qu\u00e9 productos se pueden agrupar.<\/p>\n

      A continuaci\u00f3n, el an\u00e1lisis de datos puede ayudar en el an\u00e1lisis de sentimientos, particularmente en las redes sociales:<\/p>\n

        \n
      • \u00bfQu\u00e9 dicen los clientes en l\u00ednea sobre la empresa y qu\u00e9 sienten con respecto a sus compras?<\/li>\n
      • \u00bfHay alg\u00fan producto que desear\u00edan que estuviera disponible?<\/li>\n
      • \u00bfC\u00f3mo comparan los productos de la empresa con los de la competencia?<\/li>\n<\/ul>\n

        Lo importante que hay que recordar es que esta informaci\u00f3n debe traducirse en acciones. Por ejemplo, \u00bfhay productos que deben reformularse, cambiarse de marca o reenvasarse?<\/p>\n

        Finalmente, los big data se pueden utilizar para evaluar campa\u00f1as de marketing y determinar las actividades que generan la mayor participaci\u00f3n del cliente. \u00bfSe trata de obsequios o de estar activo en plataformas de redes sociales espec\u00edficas? Adem\u00e1s, al saber c\u00f3mo interactuar eficazmente con sus mercados objetivo, las peque\u00f1as empresas pueden anticipar las tendencias emergentes.<\/p>\n

        C\u00f3mo puede ayudar AI Superior<\/strong><\/h3>\n

        \u00bfQuiere explorar c\u00f3mo el an\u00e1lisis de datos puede ayudar a que su peque\u00f1a empresa crezca y llegue a m\u00e1s clientes? Podemos ayudarlo a configurar soluciones personalizadas que le brindar\u00e1n toda la informaci\u00f3n que necesita para llevar su negocio al siguiente nivel. Nuestros servicios y soluciones pueden abordar los desaf\u00edos de implementar la ciencia de datos en sus flujos de trabajo, cadenas de suministro y estrategias comerciales, incluida la recopilaci\u00f3n y el an\u00e1lisis de datos. Al tener en cuenta todos los factores que afectan su negocio, podemos dise\u00f1ar una soluci\u00f3n de IA personalizada que aborde todas sus necesidades.<\/p>","protected":false},"excerpt":{"rendered":"

        Most small and midsized business owners are intimidated by big data. They think that this technology only applies to large corporations that have teams of data scientists at their disposal. According to a 2020 survey of small and medium enterprises (SMEs) led by the Singapore Institute of Technology, around 70 percent of respondents are not […]<\/p>\n","protected":false},"featured_media":12184,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"categories":[],"class_list":["post-12183","blog","type-blog","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nData analytics for small businesses: How data science can boost your company - aisuperior<\/title>\n<meta name=\"description\" content=\"Discover how small businesses can leverage big data analytics for success. 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