{"id":49044,"date":"2025-02-21T13:19:11","date_gmt":"2025-02-21T12:19:11","guid":{"rendered":"https:\/\/partners.sngular.com\/atlassian\/?p=49044"},"modified":"2025-02-25T15:58:51","modified_gmt":"2025-02-25T14:58:51","slug":"extraccion-de-datos-en-process-mining-claves-para-un-analisis-preciso","status":"publish","type":"post","link":"https:\/\/partners.sngular.com\/atlassian\/extraccion-de-datos-en-process-mining-claves-para-un-analisis-preciso\/","title":{"rendered":"Extracci\u00f3n de datos en Process Mining: Claves para un an\u00e1lisis preciso"},"content":{"rendered":"\n<div class=\"bloque-blog-head\">\n    <div class=\"bloque-blog-head-background\" style=\"background-image: url(https:\/\/partners.sngular.com\/atlassian\/wp-content\/uploads\/2025\/02\/113459.jpg);\">\n        <div class=\"bloque-blog-titulo\">\n            <h1 class=\"\" style=\"text-align: center\">Extracci\u00f3n de datos en Process Mining: Claves para un an\u00e1lisis preciso<\/h1>\n        <\/div>\n    <\/div>\n    <div class=\"bloque-blog-info\">\n    <\/div>\n<\/div>\n\n<p data-pm-slice=\"1 1 []\">La miner\u00eda de procesos (<a href=\"https:\/\/partners.sngular.com\/atlassian\/process-mining\/\">Process Mining<\/a>) permite analizar y optimizar los flujos de trabajo de una organizaci\u00f3n mediante el estudio de <strong><a href=\"https:\/\/partners.sngular.com\/atlassian\/optimizacion-de-procesos-la-clave-esta-en-los-datos\/\">datos<\/a> <\/strong>hist\u00f3ricos. Pero antes de obtener insights valiosos, es fundamental <strong>extraer esos datos de forma eficiente y estructurada<\/strong>. Dependiendo del tipo de an\u00e1lisis, la frecuencia de actualizaci\u00f3n y la tecnolog\u00eda utilizada, las estrategias de extracci\u00f3n pueden variar considerablemente.<\/p>\n<h2>Modelos de extracci\u00f3n: De \u00abOne Shot\u00bb a la optimizaci\u00f3n online<\/h2>\n<p>Los entornos de an\u00e1lisis de datos en Process Mining pueden dividirse en tres grandes categor\u00edas:<\/p>\n<ol start=\"1\" data-spread=\"false\">\n<li><strong>Extracci\u00f3n puntual (\u00abOne Shot\u00bb)<\/strong>: Se realiza una sola vez para un an\u00e1lisis espec\u00edfico. Es ideal para auditor\u00edas o revisiones peri\u00f3dicas de procesos.<\/li>\n<li><strong>Extracci\u00f3n peri\u00f3dica<\/strong>: Se lleva a cabo a intervalos regulares (diarios, semanales, mensuales) para hacer seguimiento y optimizaci\u00f3n continua.<\/li>\n<li><strong>Extracci\u00f3n en tiempo real<\/strong>: Se necesita cuando el an\u00e1lisis de los procesos debe ser inmediato, permitiendo el monitoreo y control en tiempo real. Para ello, se utilizan plataformas como Kafka para sincronizar eventos de manera continua.<\/li>\n<\/ol>\n<h2>Principales m\u00e9todos de extracci\u00f3n de datos<\/h2>\n<p>La selecci\u00f3n del m\u00e9todo adecuado depende del tipo de sistema donde residen los datos:<\/p>\n<ul data-spread=\"false\">\n<li><strong>Acceso directo a los modelos de datos<\/strong>: Ideal para sistemas on-premise.<\/li>\n<li><strong>Uso de APIs<\/strong>: Com\u00fan en aplicaciones cloud, ERPs y CRMs.<\/li>\n<li><strong>Eventos publicados en plataformas tipo Kafka<\/strong>: Permiten una sincronizaci\u00f3n casi en tiempo real con las plataformas de optimizaci\u00f3n de procesos.<\/li>\n<\/ul>\n<h2>Extracci\u00f3n de datos: Puntual vs. corporativa<\/h2>\n<p>Un factor clave en la extracci\u00f3n de datos es decidir si se debe realizar de forma puntual o almacenar un hist\u00f3rico completo en un Data Lake para futuras consultas. Mientras que las extracciones puntuales se centran en procesos espec\u00edficos, los modelos de Big Data pueden incorporar \u00abfootprints\u00bb (huellas digitales) de eventos, permitiendo an\u00e1lisis m\u00e1s avanzados y relacionales.<\/p>\n<p>Adem\u00e1s, la evoluci\u00f3n de la miner\u00eda de procesos ha llevado a la adopci\u00f3n de OCEL 2.0 (Object-Centric Event Log), un nuevo est\u00e1ndar que mejora la capacidad de an\u00e1lisis al capturar relaciones entre eventos y objetos.<\/p>\n<h2>Formatos de extracci\u00f3n de datos en Process Mining<\/h2>\n<p>Los registros de eventos pueden generarse en distintos formatos, cada uno con sus propias ventajas:<\/p>\n<ul data-spread=\"false\">\n<li><strong>CSV<\/strong>: Formato com\u00fan, simple y compatible con la mayor\u00eda de las herramientas.<\/li>\n<li><strong>XES (eXtensible Event Stream)<\/strong>: Est\u00e1ndar reconocido por el IEEE y soportado por la mayor\u00eda de herramientas de Process Mining.<\/li>\n<li><strong>OCEL 2.0 (Object-Centric Event Log)<\/strong>: Permite representar eventos relacionados con m\u00faltiples objetos, lo que facilita el an\u00e1lisis de procesos complejos.<\/li>\n<\/ul>\n<h2>Porcess Analytics<\/h2>\n<p>En las extracciones no siempre se obtienen todos los atributos a la primera y es necesario iterar hasta encontrar toda la informaci\u00f3n correcta. Nuestro conector <a href=\"https:\/\/partners.sngular.com\/atlassian\/consultoria-atlassian\/process-analytics-for-jira\/\"><strong>Process Analytics For Jira<\/strong><\/a> ayuda a que los usuarios puedan iterar r\u00e1pidamente sin consumir horas de programaci\u00f3n e investigaci\u00f3n para saber c\u00f3mo est\u00e1n guardados y c\u00f3mo son esos datos. Process Anaylitcs, permite extraer y optimizar tus procesos en minutos.<\/p>\n<h2>Conclusi\u00f3n<\/h2>\n<p>La extracci\u00f3n de datos es la piedra angular del \u00e9xito en Process Mining. Elegir el m\u00e9todo correcto de extracci\u00f3n seg\u00fan la necesidad del an\u00e1lisis y el prop\u00f3sito de la optimizaci\u00f3n es fundamental para obtener valor real en el negocio.<\/p>\n<p>En TecnoFor, acompa\u00f1amos a las organizaciones en cada fase del proceso: desde pruebas de concepto hasta implementaciones a gran escala. \u00a1Cons\u00faltanos para llevar tu an\u00e1lisis de procesos al siguiente nivel! \u00bf<a href=\"https:\/\/partners.sngular.com\/atlassian\/contacto\/?origen=Soluciones&amp;tema=ProcessMining#formulario\">Hablamos<\/a>?<\/p>\n<p>&nbsp;<\/p>\n<div class=\"p\">\n            <strong><a href=\"https:\/\/www.linkedin.com\/in\/anibalgonzalez\/\" target=\"_blank\" rel=\u201dnoreferrer noopener nofollow\u201d>Anibal Gonz\u00e1lez<\/a><\/strong> - 21 de febrero de 2025\n            \/ Comparte:<style>\r\n.tnf_share#tnfShare92893 {\r\n    display: inline-block;\r\n    padding: 0 0.5rem;\r\n    font-size: 18px;\r\n}\r\n#tnfShare92893 .tnf_share_net {\r\n    display: inline-block;\r\n    padding: 0 0.5rem;\r\n    position: relative;\r\n}\r\n#tnfShare92893 img {\r\n    width: 18px;\r\n    height: 18px;\r\n}\r\n#tnfShare92893 .tnf_share_net i {\r\n    vertical-align: middle;\r\n}\r\n#tnfShare92893 .special-copy-icon {\r\n    font-size: 16px;\r\n}\r\n#tnfShare92893 .tnf_share_net a, .as-linkable {\r\n    color: #6f6f6f !important;\r\n    cursor: pointer;\r\n}\r\n.tnf_share_net a:hover, .as-linkable:hover {\r\n    color: #465ea2 !important;\r\n}\r\n#tnfShare92893 .tnf_share_copy_info {\r\n    font-size: 12px !important;\r\n    background-color: #202a4488;\r\n    color: #fff;\r\n    padding: 0.5rem 1rem;\r\n    position: absolute;\r\n    width: max-content;\r\n    left: 0;\r\n    bottom: 42px;\r\n    border-radius: 2px;\r\n}\r\n<\/style>\r\n<div class=\"tnf_share\" id=\"tnfShare92893\"><div class=\"tnf_share_net linkedin-in\" id=\"linkedinin_tnfShare92893\" title=\"Compartir en LinkedIn\">\r\n    <a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fpartners.sngular.com%2Fatlassian%2Fwp-json%2Fwp%2Fv2%2Fposts%2F49044\" target=\"_blank\" rel=\"noopener noreferrer\"><i class=\"fab fa-linkedin-in\"><\/i><\/a>\r\n<\/div><div class=\"tnf_share_net twitter\" id=\"twitter_tnfShare92893\" title=\"Compartir en Twitter\">\r\n    <a href=\"https:\/\/twitter.com\/intent\/tweet?text=Extracci%C3%B3n%20de%20datos%20en%20Process%20Mining%3A%20Claves%20para%20un%20an%C3%A1lisis%20preciso&amp;url=https%3A%2F%2Fpartners.sngular.com%2Fatlassian%2Fwp-json%2Fwp%2Fv2%2Fposts%2F49044&amp;related=Tecnofor%3ATecnofor\" target=\"_blank\" rel=\"noopener noreferrer\"><i class=\"fab fa-twitter\"><\/i><\/a>\r\n<\/div><div class=\"tnf_share_net whatsapp\" id=\"whatsapp_tnfShare92893\" title=\"Compartir en WhatsApp\">\r\n    <a href=\" https:\/\/wa.me\/?text=Extracci%C3%B3n+de+datos+en+Process+Mining%3A+Claves+para+un+an%C3%A1lisis+preciso%0A%0Ahttps%3A%2F%2Fpartners.sngular.com%2Fatlassian%2Fwp-json%2Fwp%2Fv2%2Fposts%2F49044\" target=\"_blank\" rel=\"noopener noreferrer\"><i class=\"fab fa-whatsapp\"><\/i><\/a>\r\n<\/div><div class=\"tnf_share_net copy\" id=\"copy_tnfShare92893\" title=\"Copiar al portapapeles\">\r\n    <i class=\"fa fa-copy as-linkable special-copy-icon\"><\/i>\r\n    <div class=\"tnf_share_copy_info hide\" id=\"infocopy_tnfShare92893\"><\/div>\r\n<\/div>\r\n<script type=\"text\/javascript\">\r\n    jQuery(function() {\r\n        jQuery(\"#copy_tnfShare92893\").on('click', function(e) {\r\n            e.preventDefault();\r\n            navigator.clipboard.writeText( \"https:\\\/\\\/partners.sngular.com\\\/atlassian\\\/wp-json\\\/wp\\\/v2\\\/posts\\\/49044\" ).then(() => {\r\n                jQuery(\"#infocopy_tnfShare92893\").html('<i class=\"fas fa-check\"><\/i> Se ha copiado al portapapeles').removeClass('hide');\r\n                window.setTimeout(() => { jQuery(\"#infocopy_tnfShare92893\").addClass('hide'); }, 3000);\r\n            }, () => {\r\n                jQuery(\"#infocopy_tnfShare92893\").html('<i class=\"fas fa-times\"><\/i> Algo ha fallado y no se pudo copiar').removeClass('hide');\r\n                window.setTimeout(() => { jQuery(\"#infocopy_tnfShare92893\").addClass('hide'); }, 3000)\r\n            });\r\n        })\r\n    });\r\n<\/script><\/div>\n        <\/div>\n","protected":false},"excerpt":{"rendered":"<p>La miner\u00eda de procesos (Process Mining) permite analizar y optimizar los flujos de trabajo de una organizaci\u00f3n mediante el estudio de datos hist\u00f3ricos. Pero antes de obtener insights valiosos, es fundamental extraer esos datos de forma eficiente y estructurada. Dependiendo del tipo de an\u00e1lisis, la frecuencia de actualizaci\u00f3n y la tecnolog\u00eda utilizada, las estrategias de extracci\u00f3n pueden variar considerablemente. Modelos de extracci\u00f3n: De \u00abOne Shot\u00bb a la optimizaci\u00f3n online Los entornos de an\u00e1lisis de datos en Process Mining pueden dividirse en tres grandes categor\u00edas: Extracci\u00f3n puntual (\u00abOne Shot\u00bb): Se realiza una sola vez para un an\u00e1lisis espec\u00edfico. Es ideal para auditor\u00edas o revisiones peri\u00f3dicas de procesos. Extracci\u00f3n peri\u00f3dica: Se lleva a cabo a intervalos regulares (diarios, semanales, mensuales) para hacer seguimiento y optimizaci\u00f3n continua. Extracci\u00f3n en tiempo real: Se necesita cuando el an\u00e1lisis de los procesos debe ser inmediato, permitiendo el monitoreo y control en tiempo real. Para ello, se utilizan plataformas como Kafka para sincronizar eventos de manera continua. Principales m\u00e9todos de extracci\u00f3n de datos La selecci\u00f3n del m\u00e9todo adecuado depende del tipo de sistema donde residen los datos: Acceso directo a los modelos de datos: Ideal para sistemas on-premise. Uso de APIs: Com\u00fan en aplicaciones cloud, ERPs y&#8230;<\/p>\n","protected":false},"author":22,"featured_media":49046,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[229],"tags":[],"class_list":["post-49044","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-process-mining"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Extracci\u00f3n de datos en Process Mining: Claves para un an\u00e1lisis preciso -<\/title>\n<meta name=\"description\" content=\"Extraer los datos de forma eficiente y estructurada es esencial de cara a las diferentes estrategias de extracci\u00f3n.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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