{"id":958,"date":"2015-07-21T13:17:02","date_gmt":"2015-07-21T13:17:02","guid":{"rendered":"http:\/\/klbtrblgdb01.cloudapp.net\/blog\/?p=958"},"modified":"2022-09-13T12:00:58","modified_gmt":"2022-09-13T12:00:58","slug":"business-data-analytics","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/es\/business-data-analytics\/","title":{"rendered":"Dos razones por las que las empresas deben prestar atenci\u00f3n a la anal\u00edtica de datos"},"content":{"rendered":"

Big Data es una gran palabra en el mundo de la tecnolog\u00eda. Basta con echar un vistazo al popular hashtag #BigData para darse cuenta de que est\u00e1 ganando cada vez m\u00e1s credibilidad. Se habla mucho de Big Data y de c\u00f3mo la anal\u00edtica de datos puede ayudar a impulsar y dar un giro a las empresas. Sin embargo, muchas personas y empresas a\u00fan no han llegado a un acuerdo sobre qu\u00e9 puede aportar exactamente el Big Data a su negocio.<\/p>\n

Recuerdo que hace unos a\u00f1os entr\u00e9 en el outlet de una gran zapater\u00eda. Para mi sorpresa, tuve que buscar y llamar a alguien para que me ayudara con lo que buscaba a pesar de que la tienda estaba pr\u00e1cticamente vac\u00eda. Result\u00f3 que el gerente tambi\u00e9n estaba ocupado analizando las pisadas para controlar c\u00f3mo se trataba a los clientes reales con esos pies que le importaban. Esto me dej\u00f3 con la impresi\u00f3n de que toda esta charla sobre la anal\u00edtica de datos que ayuda al crecimiento del negocio necesita un replanteamiento.<\/p>\n

Pero eso fue hace unos a\u00f1os. En la actual era digital, lo que ha cambiado dr\u00e1sticamente es el seguimiento digital de los datos a todos los niveles y de todas las fuentes imaginables. Ahora las empresas tienen que lidiar con copas de datos para comprender el comportamiento de los consumidores, las tendencias y otros aspectos diversos. Esto condujo a la llegada del Big Data, en el que el reto no era simplemente obtener los datos correctos, sino analizar y dar sentido a las cantidades absolutamente enormes de datos disponibles.<\/p>\n

\"Big_Data\"<\/a><\/p>\n

A trav\u00e9s de una serie de art\u00edculos, planeo detenerme en los diversos aspectos de los negocios que Big Data y an\u00e1lisis de datos<\/a> en general puede ayudar a desentra\u00f1ar. En este art\u00edculo, pretendo cubrir dos aspectos sencillos que pueden ser \u00fatiles para los emprendedores y gestores de startups.<\/p>\n

1. Eliminar las conjeturas: Seamos claros y sencillos. Uno de los principales impulsores de la anal\u00edtica de datos es que los datos permiten a los empresarios y jefes de divisi\u00f3n de las empresas tomar decisiones basadas en datos. Se acabaron los d\u00edas de las conjeturas. Con el fenomenal avance de la tecnolog\u00eda y las herramientas de seguimiento empleadas en cada fase de la transacci\u00f3n, probablemente sea m\u00e1s dif\u00edcil que nunca compensar los datos con la intuici\u00f3n de los empresarios.<\/p>\n

Eric Reis, en su revolucionario libro The Lean Startup, hace hincapi\u00e9 en el aprendizaje validado. Contin\u00faa explicando que el aprendizaje validado es el proceso de demostrar emp\u00edricamente que un equipo ha descubierto verdades valiosas sobre las perspectivas de negocio presentes y futuras de una startup. Las decisiones en cada etapa deben estar respaldadas por datos.<\/p>\n

Entonces, \u00bfen qu\u00e9 tipo de decisiones puede influir el an\u00e1lisis de datos? Lo primero y m\u00e1s importante son los datos duros que validan el \u00e9xito de su producto o servicio. Es f\u00e1cil plantear la hip\u00f3tesis de que su \u00faltimo producto o servicio o el cambio que ha realizado en su sitio web seguir\u00e1 causando sensaci\u00f3n s\u00f3lo porque es \u00fanico o presenta una nueva forma de ver\/hacer las cosas. Funcionar\u00e1 s\u00f3lo porque usted cree firmemente que funcionar\u00e1. La anal\u00edtica de datos y el Big Data consisten en analizar esa sensaci\u00f3n bas\u00e1ndose en datos reales y luego autentificar o negar tu intuici\u00f3n.<\/p>\n

2. Waking up to new realities: There is this aspect of discovery by virtue of studying data. I vividly recall one of our social media team reviews wherein I was stressing that we should continue to focus on Twitter rather than Facebook. My argument was that we were attracting many more followers and interactions on Twitter as compared to Facebook. Almost everyone across the table seemed to agree till our SEO expert<\/a> interrupted with data from our Google Analytics account. We\u2019d gotten almost three times more conversions from Facebook<\/a> en comparaci\u00f3n con los de Twitter<\/a> a pesar de que el tr\u00e1fico es mucho menor. Esto cerr\u00f3 la decisi\u00f3n sobre d\u00f3nde ten\u00edamos que centrarnos para conseguir m\u00e1s conversiones r\u00e1pidamente. Este es un simple ejemplo de la magia de la anal\u00edtica de datos.<\/p>\n

Me gustar\u00eda invitar a los fundadores y directivos de startups y peque\u00f1as y medianas empresas a compartir m\u00e1s ejemplos de c\u00f3mo la anal\u00edtica de datos les ha ayudado a validar\/negar su intuici\u00f3n y descubrir nuevas realidades.<\/p>","protected":false},"excerpt":{"rendered":"

Big Data is a big word in the tech world. One look at the highly popular hashtag #BigData reveals how it is gaining increasing credence. There\u2019s a lot of talk about Big Data and how data analytics can help drive and turn around businesses. However, many people and companies are yet to come to terms<\/p>\n

Leer m\u00e1s<\/a><\/div>","protected":false},"author":4,"featured_media":1981,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[21,18,176,175,72,174,177],"acf":[],"yoast_head":"\nBig Data: Two reasons why it's important for businesses<\/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:\/\/www.kolabtree.com\/blog\/es\/business-data-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Two reasons why businesses need to pay heed to data analytics\" \/>\n<meta property=\"og:description\" content=\"Big Data is a big word in the tech world. One look at the highly popular hashtag #BigData reveals how it is gaining increasing credence. 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