{"id":67285,"date":"2026-04-09T12:02:08","date_gmt":"2026-04-09T10:02:08","guid":{"rendered":"https:\/\/www.euncet.com\/blog\/?p=67285"},"modified":"2026-04-23T15:18:53","modified_gmt":"2026-04-23T13:18:53","slug":"analisi-dades-decisions-estrategiques","status":"publish","type":"post","link":"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/","title":{"rendered":"Com convertir dades en decisions estrat\u00e8giques per a la teva empresa?"},"content":{"rendered":"\n<p><strong>En l&#8217;economia actual, la intu\u00efci\u00f3 ja no \u00e9s suficient per liderar el mercat.<\/strong>&nbsp;Cada interacci\u00f3 amb un client, cada transacci\u00f3 financera i cada clic en una p\u00e0gina web genera informaci\u00f3 valuosa. No obstant aix\u00f2, tenir acc\u00e9s a terabytes de dades no garanteix l&#8217;\u00e8xit, ja que precisament s\u00f3n &#8220;simplement&#8221; dades. El veritable repte, que proporciona un veritable avantatge competitiu, resideix en la presa de decisions basada en l&#8217;<strong><em>an\u00e0lisi de dades<\/em><\/strong>: la capacitat de transformar n\u00fameros crus en valuosa informaci\u00f3 i coneixement compartit,&nbsp;<em>insights<\/em>&nbsp;accionables que gui\u00efn el rumb de l&#8217;organitzaci\u00f3.<\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u00cdNDEX DE CONTINGUTS<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #222222;color:#222222\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #222222;color:#222222\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#El_pont_entre_la_informacio_i_laccio\" >El pont entre la informaci\u00f3 i l&#8217;acci\u00f3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Fases_per_a_una_presa_de_decisions_basada_en_dades\" >Fases per a una presa de decisions basada en dades<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Nivells_de_maduresa_analitica_a_les_empreses\" >Nivells de maduresa anal\u00edtica a les empreses<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Limpacte_de_lanalisi_de_dades_en_diferents_departaments\" >L&#8217;impacte de l&#8217;an\u00e0lisi de dades en diferents departaments<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#El_rol_del_Business_Intelligence_i_la_Ciencia_de_Dades\" >El rol del Business Intelligence i la Ci\u00e8ncia de Dades<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Eines_clau_per_a_la_visualitzacio_i_lanalisi\" >Eines clau per a la visualitzaci\u00f3 i l&#8217;an\u00e0lisi<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Errors_comuns_en_implementar_una_cultura_de_dades\" >Errors comuns en implementar una cultura de dades<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Format_per_liderar_la_transformacio_analitica\" >Forma&#8217;t per liderar la transformaci\u00f3 anal\u00edtica<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.euncet.com\/blog\/ca\/analisi-dades-decisions-estrategiques\/#Conclusio_la_dada_com_a_actiu_estrategic\" >Conclusi\u00f3: la dada com a actiu estrat\u00e8gic<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"El_pont_entre_la_informacio_i_laccio\"><\/span>El pont entre la informaci\u00f3 i l&#8217;acci\u00f3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Moltes empreses pateixen el que es coneix com la s\u00edndrome de \u00abrics en dades, pobres en informaci\u00f3\u00bb. Recopilen m\u00e8triques de totes les seves plataformes, per\u00f2 a l&#8217;hora de la veritat, les decisions clau es continuen prenent basant-se en l&#8217;experi\u00e8ncia passada o en suposicions dels seus directius i gestors.<\/p>\n\n\n\n<p>En aquest sentit, convertir dades en decisions estrat\u00e8giques implica establir un proc\u00e9s sistem\u00e0tic on aquestes no nom\u00e9s s&#8217;emmagatzemen, sin\u00f3 que es q\u00fcestionen. Significa passar de preguntar \u00abqu\u00e8 va passar el mes passat?\u00bb a respondre \u00abper qu\u00e8 va passar?\u00bb i, m\u00e9s important encara, \u00abqu\u00e8 passar\u00e0 el mes que ve si prenem aquesta acci\u00f3?\u00bb.<\/p>\n\n\n\n<p>Aquest canvi de paradigma requereix tant d&#8217;eines tecnol\u00f2giques adequades com d&#8217;una cultura organitzacional que valori l&#8217;evid\u00e8ncia emp\u00edrica per sobre de les jerarquies tradicionals, la cultura \u201cData Driven Organization\u201d.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Fases_per_a_una_presa_de_decisions_basada_en_dades\"><\/span>Fases per a una presa de decisions basada en dades<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Perqu\u00e8 l&#8217;an\u00e0lisi tingui un impacte real en el compte de resultats, ha de seguir una metodologia estructurada. No es tracta de mirar gr\u00e0fics a l&#8217;atzar, sin\u00f3 de construir un flux de treball l\u00f2gic.<\/p>\n\n\n\n<p>A continuaci\u00f3, detallem les fases essencials per implementar aquest enfocament en qualsevol departament:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Definici\u00f3 de l&#8217;objectiu de negoci:<\/strong>\u00a0Abans d&#8217;obrir un Excel o un\u00a0<em>dashboard<\/em>, has de saber quin problema intentes resoldre. Vols reduir la rotaci\u00f3 de clients? Optimitzar l&#8217;inventari? La pregunta defineix les dades que necessites aix\u00ed com els indicadors a generar en el quadre de comandament.<\/li>\n\n\n\n<li><strong>Recopilaci\u00f3 i neteja:<\/strong>\u00a0Les dades de mala qualitat generen decisions equivocades. \u00c9s vital assegurar que la informaci\u00f3 extreta de CRMs, ERPs o plataformes web sigui precisa, completa i estigui lliure de duplicats. Aqu\u00ed entra tot el que t\u00e9 a veure amb la governan\u00e7a de la dada.<\/li>\n\n\n\n<li><strong>An\u00e0lisi explorat\u00f2ria:<\/strong>\u00a0En aquesta fase es busquen patrons, tend\u00e8ncies i anomalies. \u00c9s el moment de creuar variables per descobrir relacions ocultes que no s\u00f3n evidents a simple vista, sent fonamental evitar males interpretacions a causa de variables esp\u00faries.<\/li>\n\n\n\n<li><strong>Visualitzaci\u00f3 de dades:<\/strong>\u00a0Els n\u00fameros en una taula s\u00f3n dif\u00edcils d&#8217;interpretar. Transformar-los en gr\u00e0fics clars i\u00a0<a href=\"https:\/\/www.euncet.com\/blog\/ca\/blog-2\/?p=66507\">dashboar<\/a><a href=\"https:\/\/www.euncet.com\/blog\/ca\/blog-2\/?p=41612&#038;p=66507\" target=\"_blank\" rel=\"noreferrer noopener\">d<\/a><a href=\"https:\/\/www.euncet.com\/blog\/ca\/blog-2\/?p=66507\">s<\/a>\u00a0<strong>interactius<\/strong>\u00a0permet que qualsevol membre de l&#8217;equip, independentment del seu perfil t\u00e8cnic, comprengui la situaci\u00f3 visualitzant-los com ho cregui oport\u00fa.<\/li>\n\n\n\n<li><strong>Interpretaci\u00f3 i pla d&#8217;acci\u00f3:<\/strong>\u00a0El pas definitiu. Qu\u00e8 ens diu el gr\u00e0fic? Si l&#8217;an\u00e0lisi mostra que les vendes cauen els dimarts a la tarda, la decisi\u00f3 estrat\u00e8gica podria ser llan\u00e7ar una promoci\u00f3 espec\u00edfica en aquesta franja hor\u00e0ria.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Nivells_de_maduresa_analitica_a_les_empreses\"><\/span>Nivells de maduresa anal\u00edtica a les empreses<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>No totes les companyies utilitzen la informaci\u00f3 de la mateixa manera. L&#8217;evoluci\u00f3 cap a una empresa veritablement \u00abdata-driven\u00bb passa per diferents etapes de maduresa anal\u00edtica.<\/p>\n\n\n\n<p>Comprendre en quin nivell es troba la teva empresa \u00e9s el primer pas per tra\u00e7ar un full de ruta cap a l&#8217;optimitzaci\u00f3 i l&#8217;<a href=\"https:\/\/www.euncet.com\/blog\/es\/inteligencia-artificial-empresa-guia-implementacion\/\" target=\"_blank\" rel=\"noreferrer noopener\">automatitzaci\u00f3 intel\u00b7ligent<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Nivell d&#8217;Anal\u00edtica<\/th><th>Pregunta que respon<\/th><th>Enfocament temporal<\/th><th>Valor per al negoci<\/th><\/tr><\/thead><tbody><tr><td><strong>Descriptiva<\/strong><\/td><td>Qu\u00e8 ha passat?<\/td><td>Passat<\/td><td>Baix (Informes b\u00e0sics, KPIs est\u00e0ndard)<\/td><\/tr><tr><td><strong>Diagn\u00f2stica<\/strong><\/td><td>Per qu\u00e8 ha passat?<\/td><td>Passat \/ Present<\/td><td>Mitj\u00e0 (Identificaci\u00f3 de causes arrel)<\/td><\/tr><tr><td><strong>Predictiva<\/strong><\/td><td>Qu\u00e8 \u00e9s probable que passi?<\/td><td>Futur<\/td><td>Alt (Previsi\u00f3 de demanda, risc de fuga)<\/td><\/tr><tr><td><strong>Prescriptiva<\/strong><\/td><td>Qu\u00e8 hem de fer perqu\u00e8 passi?<\/td><td>Futur \/ Acci\u00f3<\/td><td>Molt Alt (Recomanacions automatitzades)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Limpacte_de_lanalisi_de_dades_en_diferents_departaments\"><\/span>L&#8217;impacte de l&#8217;an\u00e0lisi de dades en diferents departaments<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>La transformaci\u00f3 cap a una cultura basada en dades no \u00e9s exclusiva ni de bon tros del departament de TI o d&#8217;analistes especialitzats. El seu veritable poder es desferma quan impregna totes les \u00e0rees de l&#8217;organitzaci\u00f3, optimitzant processos i descobrint oportunitats de millora en cada rac\u00f3 de l&#8217;empresa.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>En el departament de\u00a0<strong>M\u00e0rqueting i Vendes<\/strong>, l&#8217;an\u00e0lisi de dades permet segmentar audi\u00e8ncies amb una precisi\u00f3 mil\u00b7lim\u00e8trica. En lloc de llan\u00e7ar campanyes massives, els equips poden personalitzar missatges basant-se en el comportament de navegaci\u00f3, l&#8217;historial de compres i les prefer\u00e8ncies individuals. Aix\u00f2 no nom\u00e9s augmenta les taxes de conversi\u00f3, sin\u00f3 que tamb\u00e9 optimitza el retorn de la inversi\u00f3 (ROI) publicit\u00e0ria.<\/li>\n\n\n\n<li>Per la seva banda, en\u00a0<strong>Recursos Humans<\/strong>\u00a0(People Analytics), les dades ajuden a identificar patrons de rotaci\u00f3 de personal, predir quins perfils tindran m\u00e9s \u00e8xit a l&#8217;empresa i dissenyar plans de retenci\u00f3 personalitzats. La intu\u00efci\u00f3 en la contractaci\u00f3 deixa pas a\u00a0<a href=\"https:\/\/www.euncet.com\/blog\/es\/big-data-toma-decisiones-guia-directivos\/\" target=\"_blank\" rel=\"noreferrer noopener\">models predictius<\/a>\u00a0que avaluen l&#8217;encaix cultural i el potencial de desenvolupament a llarg termini.<\/li>\n\n\n\n<li>En l&#8217;\u00e0rea d&#8217;<strong>Operacions i Log\u00edstica<\/strong>, l&#8217;anal\u00edtica predictiva \u00e9s fonamental per a la gesti\u00f3 de la cadena de subministrament. Preveure pics de demanda, optimitzar rutes de lliurament i gestionar l&#8217;inventari en temps real redueix costos operatius significativament i millora la satisfacci\u00f3 del client final en evitar trencaments d&#8217;estoc. Avui dia hi ha una veritable revoluci\u00f3 en aquesta disciplina, el que es coneix com la log\u00edstica anticipat\u00f2ria.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"El_rol_del_Business_Intelligence_i_la_Ciencia_de_Dades\"><\/span>El rol del Business Intelligence i la Ci\u00e8ncia de Dades<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Per escalar en la taula anterior, les empreses es recolzen en dues disciplines complement\u00e0ries: el Business Intelligence (BI) i la Ci\u00e8ncia de Dades (Data Science):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>El Business Intelligence se centra en l&#8217;an\u00e0lisi descriptiva i diagn\u00f2stica. Utilitza eines com Power BI o Tableau per crear quadres de comandament que monitoritzen la salut actual del negoci. \u00c9s fonamental perqu\u00e8 els directius tinguin una visi\u00f3 clara i en temps real de les operacions.<\/li>\n\n\n\n<li>D&#8217;altra banda, la ci\u00e8ncia de dades fa un pas m\u00e9s enll\u00e0. Empra algoritmes avan\u00e7ats, estad\u00edstica i\u00a0<em>machine learning<\/em>\u00a0per endinsar-se en l&#8217;an\u00e0lisi predictiva. Un cient\u00edfic de dades no nom\u00e9s et diu quants clients vas perdre el mes passat, sin\u00f3 que crea un model que identifica quins clients actuals tenen m\u00e9s probabilitat de marxar el mes vinent, permetent-te actuar abans que succeeixi.<\/li>\n<\/ul>\n\n\n\n<p>Com tot proc\u00e9s de transformaci\u00f3 empresarial, el digital tamb\u00e9 \u00e9s un projecte progressiu a partir d&#8217;un pla estrat\u00e8gic a implementar per etapes any rere any. A aquesta progressi\u00f3 se la identifica com a maduresa digital de l&#8217;empresa i \u00e9s molt normal, i fins i tot convenient, que les organitzacions s&#8217;inici\u00efn en aquest m\u00f3n de les dades per l&#8217;an\u00e0lisi descriptiva; i despr\u00e9s d&#8217;interioritzar tot el que aix\u00f2 implica, passant a formar part de la pr\u00f2pia cultura de l&#8217;empresa (la dada com a principal actiu), ser\u00e0 el moment per afrontar una seg\u00fcent etapa evolutiva a trav\u00e9s d&#8217;incorporar la IA en l&#8217;an\u00e0lisi predictiva.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Eines_clau_per_a_la_visualitzacio_i_lanalisi\"><\/span>Eines clau per a la visualitzaci\u00f3 i l&#8217;an\u00e0lisi<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>L&#8217;ecosistema tecnol\u00f2gic per a l&#8217;an\u00e0lisi de dades \u00e9s vast i est\u00e0 en constant evoluci\u00f3. No obstant aix\u00f2, no \u00e9s necessari dominar totes les eines del mercat per comen\u00e7ar a extreure valor de la informaci\u00f3. La clau est\u00e0 a seleccionar aquelles que millor s&#8217;adaptin a les necessitats i al nivell de maduresa anal\u00edtica de l&#8217;empresa.<\/p>\n\n\n\n<p>Per a la visualizaci\u00f3n de dades i la creaci\u00f3 de\u00a0<em>dashboards<\/em>\u00a0interactius, plataformes com Power BI de Microsoft i\u00a0<a href=\"https:\/\/www.tableau.com\/es-es\" target=\"_blank\" rel=\"noreferrer noopener\">Tableau<\/a>\u00a0s&#8217;han consolidat com els est\u00e0ndards de la ind\u00fastria. Aquestes eines permeten connectar m\u00faltiples fonts de dades (des de simples fulls de c\u00e0lcul fins a complexes bases de dades al n\u00favol) i transformar-les en gr\u00e0fics din\u00e0mics que faciliten la comprensi\u00f3 visual de la informaci\u00f3.<\/p>\n\n\n\n<p>Quan es requereix una an\u00e0lisi m\u00e9s profunda, predictiva o la creaci\u00f3 de models de&nbsp;<em>machine learning<\/em>, llenguatges de programaci\u00f3 com Python i R entren en joc. La seva flexibilitat i l&#8217;enorme quantitat de llibreries disponibles els converteixen en les eines preferides pels cient\u00edfics de dades per a tasques complexes de modelatge i automatitzaci\u00f3.<\/p>\n\n\n\n<p>A m\u00e9s, les solucions d&#8217;emmagatzematge al n\u00favol (com AWS, Google Cloud o Azure) han democratitzat l&#8217;acc\u00e9s a infraestructures de dades potents, permetent a empreses de qualsevol mida processar grans volums d&#8217;informaci\u00f3 sense necessitat d&#8217;invertir en costosos servidors f\u00edsics.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Errors_comuns_en_implementar_una_cultura_de_dades\"><\/span>Errors comuns en implementar una cultura de dades<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Malgrat els evidents avantatges, moltes empreses fracassen en el seu intent de convertir-se en empreses impulsades per dades. Con\u00e8ixer els obstacles m\u00e9s freq\u00fcents \u00e9s vital per evitar-los.<\/p>\n\n\n\n<p>Un dels errors m\u00e9s habituals \u00e9s la desconnexi\u00f3 entre l&#8217;equip t\u00e8cnic i l&#8217;equip de negoci. Si els analistes no comprenen els objectius comercials, generaran informes t\u00e8cnicament perfectes per\u00f2 in\u00fatils per a la presa de decisions.<\/p>\n\n\n\n<p>Altres errors cr\u00edtics inclouen:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Par\u00e0lisi per an\u00e0lisi:<\/strong>\u00a0Intentar mesurar absolutament tot, la qual cosa genera soroll i dificulta identificar les m\u00e8triques que realment importen (KPIs).<\/li>\n\n\n\n<li><strong>Biaix de confirmaci\u00f3:<\/strong>\u00a0Buscar en les dades \u00fanicament la informaci\u00f3 que confirmi una decisi\u00f3 que ja s&#8217;havia pres per endavant per intu\u00efci\u00f3.<\/li>\n\n\n\n<li><strong>Silos d&#8217;informaci\u00f3:<\/strong>\u00a0Mantenir les dades a\u00efllades per departaments (m\u00e0rqueting no comparteix amb vendes, vendes no comparteix amb finances), impedint una visi\u00f3 360 del client.<\/li>\n\n\n\n<li><strong>Falta d&#8217;alfabetitzaci\u00f3 de dades:<\/strong>\u00a0Implementar eines complexes sense formar l&#8217;equip en com interpretar i utilitzar la informaci\u00f3 que aquestes generen.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Format_per_liderar_la_transformacio_analitica\"><\/span>Forma&#8217;t per liderar la transformaci\u00f3 anal\u00edtica<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>La demanda de professionals capa\u00e7os d&#8217;entendre, processar i extreure valor de la informaci\u00f3 creix exponencialment. Ja no \u00e9s un requisit exclusiu per a perfils t\u00e8cnics; directius, m\u00e0nagers de m\u00e0rqueting, financers i responsables de recursos humans necessiten dominar aquestes compet\u00e8ncies.<\/p>\n\n\n\n<p>Per donar resposta a aquesta necessitat del mercat, Euncet Business School ha dissenyat el\u00a0<a href=\"https:\/\/www.euncet.com\/ca\/cursos-de-formacio\/curs-ciencia-dades-algoritmes\/\" target=\"_blank\" rel=\"noreferrer noopener\">Curso de Ciencia de Datos, Algoritmos y Automatizaci\u00f3n<\/a>. Aquest programa ofereix una introducci\u00f3 pr\u00e0ctica i sense tecnicismos innecessaris al m\u00f3n del\u00a0<em>data analytics<\/em>.<\/p>\n\n\n\n<p>A difer\u00e8ncia de formacions purament te\u00f2riques, aquest curs est\u00e0 enfocat en l&#8217;aplicaci\u00f3 real en l&#8217;entorn empresarial. Aprendr\u00e0s a identificar oportunitats d&#8217;automatitzaci\u00f3, a comprendre el funcionament dels algoritmes predictius i a traduir resultats anal\u00edtics en estrat\u00e8gies de negoci guanyadores.<\/p>\n\n\n\n<p>Aquesta formaci\u00f3 es complementa perfectament amb altres programes de la nostra oferta Executive Education, com el\u00a0<a href=\"https:\/\/www.euncet.com\/ca\/cursos-de-formacio\/curs-power-bi\/\" target=\"_blank\" rel=\"noreferrer noopener\">Curso de Power BI<\/a>\u00a0per a la visualitzaci\u00f3 avan\u00e7ada, o el\u00a0<a href=\"https:\/\/www.euncet.com\/ca\/cursos-de-formacio\/curs-ia-per-a-finances\/\" target=\"_blank\" rel=\"noreferrer noopener\">Curso de IA para Finanzas<\/a>, creant un itinerari formatiu complet per al professional del futur.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Conclusio_la_dada_com_a_actiu_estrategic\"><\/span>Conclusi\u00f3: la dada com a actiu estrat\u00e8gic<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>En definitiva, les dades s\u00f3n el nou petroli, per\u00f2 igual que el cru, necessiten ser refinades per tenir valor. La capacitat de convertir aquesta mat\u00e8ria primera en decisions estrat\u00e8giques \u00e9s el que definir\u00e0 les empreses l\u00edders de la propera d\u00e8cada.<\/p>\n\n\n\n<p>No deixis que la teva empresa navegui a cegues: inverteix en tecnologia, fomenta una\u00a0<a href=\"https:\/\/www.euncet.com\/blog\/ca\/blog-2\/?p=41612&#038;p=60843\" target=\"_blank\" rel=\"noreferrer noopener\">cultura anal\u00edtica<\/a>\u00a0i, sobretot, capacita el teu equip perqu\u00e8 siguin ells els qui liderin aquest canvi.<\/p>\n\n\n\n<p>Dona el primer pas cap a l&#8217;excel\u00b7l\u00e8ncia anal\u00edtica. Descobreix com el Curso de Ciencia de Datos, Algoritmos y Automatizaci\u00f3n d&#8217;Euncet pot transformar el teu perfil professional i el futur de la teva empresa.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>En l&#8217;economia actual, la intu\u00efci\u00f3 ja no \u00e9s suficient per liderar el mercat.&nbsp;Cada interacci\u00f3 amb un client, cada transacci\u00f3 financera i cada clic en una p\u00e0gina web genera informaci\u00f3 valuosa. No obstant aix\u00f2, tenir acc\u00e9s a terabytes de dades no garanteix l&#8217;\u00e8xit, ja que precisament s\u00f3n &#8220;simplement&#8221; dades. El veritable repte, que proporciona un veritable [&hellip;]<\/p>\n","protected":false},"author":34,"featured_media":67208,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[582],"tags":[],"class_list":["post-67285","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analitica-de-dades"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>An\u00e0lisi de dades \u25b6 decisions ESTRAT\u00c8GIQUES<\/title>\n<meta name=\"description\" content=\"An\u00e0lisi de dades \u25b6 decisions ESTRAT\u00c8GIQUES. 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