{"id":71569,"date":"2026-11-09T12:31:43","date_gmt":"2026-11-09T11:31:43","guid":{"rendered":"https:\/\/www.irion-edm.com\/?p=71569"},"modified":"2026-11-09T12:31:45","modified_gmt":"2026-11-09T11:31:45","slug":"investire-nei-dati-non-basta-decision-intelligence","status":"publish","type":"post","link":"https:\/\/www.irion-edm.com\/it\/eventi\/investire-nei-dati-non-basta-decision-intelligence\/","title":{"rendered":"Investire nei dati non basta: la sfida della Decision Intelligence"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Irion ha supportato la ricerca come sponsor e ha partecipato al convegno con <strong>Mario Vellella, Evangelism &amp; Presales Director, Nicola Nodari, Executive Sales Account, ed Enrico Galimberti, Sales Account.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Le imprese italiane investono sempre di pi\u00f9 in dati e AI, ma solo una parte di loro riesce a trasformarli in decisioni. \u00c8 quanto emerge dalla <strong>Ricerca 2026 dell\u2019Osservatorio Data &amp; Decision Intelligence del Politecnico di Milano<\/strong>, presentata il 4 novembre al convegno <em><strong>&#8220;Decision First: Data e AI al servizio delle decisioni&#8221;<\/strong><\/em>. La ricerca indica anche da dove partire: da qualit\u00e0 e integrazione dei dati.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Gli investimenti crescono, le decisioni basate sui dati non ancora<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nel 2026 la <strong>spesa in Data Management &amp; Analytics in Italia raggiunge 5,07 miliardi di euro<\/strong>, il 24% in pi\u00f9 rispetto al 2025. La <strong>Generative AI cresce del 46%<\/strong>, ma vale ancora il 6% degli investimenti (Osservatorio Data &amp; Decision Intelligence, 2026). Eppure <strong>solo il 18% delle grandi aziende italiane usa i dati in modo sistematico<\/strong> con un approccio di Decision Intelligence, combinando dati, AI, scienze decisionali e giudizio umano.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Enrico Galimberti, Sales Account di Irion<\/strong>, ha commentato cos\u00ec i risultati:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">&#8220;Eventi come questo sono un\u2019occasione preziosa per ascoltare le esigenze delle aziende e confrontarsi con chi ogni giorno lavora sui dati. I risultati del nuovo Osservatorio Data &amp; Decision Intelligence del Politecnico di Milano parlano chiaro: il mercato cresce, ma la vera sfida per le aziende non \u00e8 pi\u00f9 solo raccogliere dati, bens\u00ec trasformarli in decisioni efficaci. La Generative AI apre opportunit\u00e0 straordinarie, ma una Decision Intelligence affidabile richiede una cultura Decision First, fondata su due pilastri imprescindibili: Data Management evoluto e Data Quality aumentata. Perch\u00e9 ogni decisione intelligente nasce da dati affidabili.&#8221;<\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">Dal dato alla decisione: un divario da colmare<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Secondo l\u2019Osservatorio, <strong>il 2026 segna il passaggio da un approccio data-centric a uno decision-centric<\/strong>. Per compierlo servono tre leve:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Advanced Analytics:<\/strong> progetti gi\u00e0 avviati dal <strong>78%<\/strong> delle organizzazioni.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Mappatura dei processi decisionali:<\/strong> completata, con indicatori di performance, dal <strong>27%<\/strong>.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ontologia strutturata dei processi core:<\/strong> un modello condiviso delle regole aziendali, definito dal <strong>31%<\/strong>.\u00a0<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">La tecnologia, in sintesi, avanza pi\u00f9 velocemente della capacit\u00e0 delle organizzazioni di usarla per decidere.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"768\" height=\"1024\" src=\"https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4-768x1024-1.png\" alt=\"\" class=\"wp-image-71571\" srcset=\"https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4-768x1024-1.png 768w, https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4-225x300.png 225w, https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4-142x189.png 142w, https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4-149x198.png 149w, https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4-227x303.png 227w, https:\/\/www.irion-edm.com\/wp-content\/uploads\/2026\/11\/4.png 1080w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption class=\"wp-element-caption\">Dalla tecnologia alle decisioni. Fonte: Osservatorio Data &amp; Decision Intelligence, Politecnico di Milano.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Perch\u00e9 la qualit\u00e0 del dato fa la differenza<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">I dati della ricerca mostrano quanto la qualit\u00e0 incida sui risultati (Osservatorio Data &amp; Decision Intelligence, 2026):&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Autonomia del business:<\/strong> dove la qualit\u00e0 \u00e8 elevata, il 44% dei dipendenti di business analizza i dati in autonomia. La quota scende al <strong>12% dove la qualit\u00e0 \u00e8 bassa.<\/strong>\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Generative AI:<\/strong> tra le organizzazioni con dati di alta qualit\u00e0, l\u2019<strong>80% ha gi\u00e0 introdotto soluzioni di Generative AI sui propri dati aziendali<\/strong>; tra quelle con dati di qualit\u00e0 inferiore la quota scende al 40%.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Mario Vellella, Evangelism &amp; Presales Director di Irion<\/strong>, ha indicato come deve cambiare, di conseguenza, l\u2019approccio alla Data Quality:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">&#8220;La Data Quality rischia di diventare un freno all\u2019AI se continuiamo ad applicare le regole e i metodi del passato. Da qui nasce la domanda su cosa significhi davvero preparare i dati per l\u2019AI. Per rispondere occorre costruire un framework di data quality che abiliti le aziende a definire: che cosa \u00e8 un dato \u201cbuono\u201d, che cosa significa, dove lo controllo e come resta affidabile nel tempo. Irion supporta il percorso con una tecnologia flessibile, metadata driven e scalabile con la quale garantire governo ed esecuzione dell\u2019impianto di controllo per abilitare l\u2019AI ad efficientare i processi decisionali e a creare valore.&#8221;<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Accanto alla qualit\u00e0 serve una strategia. <strong>Nel 2026 il 48% delle grandi aziende ha definito una Data Strategy, 11 punti percentuali in pi\u00f9 rispetto al 2025.<\/strong><br>\u00c8 un segnale raccolto anche da <strong>Nicola Nodari, Executive Sales Account di Irion<\/strong>:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">&#8220;\u00c8 stato un momento di scambio molto stimolante. Il dialogo con le diverse realt\u00e0 presenti dimostra che la maturit\u00e0 digitale delle imprese passa prima di tutto dall\u2019evoluzione della Data Strategy e dalla capacit\u00e0 di rendere i dati accessibili e valorizzabili a tutti i livelli.&#8221;<\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">L\u2019approccio di Irion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Portare i dati dentro le decisioni significa <strong>sapere quali decisioni sono critiche, quali dati le alimentano e come quei dati vengono controllati nel tempo.<\/strong> Irion lavora su entrambi i pilastri richiamati al convegno. <a href=\"https:\/\/www.irion-edm.com\/it\/edm-application\/\" target=\"_blank\" rel=\"noopener\">Irion EDM\u00ae Application<\/a> \u00e8 la piattaforma per lo sviluppo di soluzioni data-intensive. <a href=\"https:\/\/www.irion-edm.com\/it\/premium-data-quality-governance\/\" target=\"_blank\" rel=\"noopener\">Irion Premium Data Quality &amp; Governance<\/a> (PDQG) \u00e8 il prodotto verticale per la governance e la qualit\u00e0 dei dati.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Con l\u2019architettura Hub &amp; Spoke di PDQG<\/strong>, regole, ruoli e controlli si definiscono in modo centralizzato nel Governance Layer e si eseguono nei diversi domini attraverso l\u2019Execution Layer. Il Data Quality Hub consolida gli esiti e <strong>calcola i KQI (Key Quality Indicators)<\/strong>: cos\u00ec ogni organizzazione stabilisce che cosa sia un dato affidabile e come resta tale nel tempo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Un ringraziamento all\u2019Osservatorio Data &amp; Decision Intelligence del Politecnico di Milano e a tutti i professionisti incontrati per gli spunti condivisi. I risultati completi della ricerca sono disponibili nel <a href=\"https:\/\/www.osservatori.net\/comunicato\/data-decision-intelligence\/big-data-italia-mercato\/\" target=\"_blank\" rel=\"noopener\">comunicato stampa e nell\u2019infografica su Osservatori.net<\/a>.<\/p>\n\n\n\n<div style=\"height:27px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:24px\"><em><strong>Unify Governance. Distribute Execution. Trust your data<\/strong><\/em><\/p>\n\n\n\n<div style=\"height:27px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Fonti<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Osservatorio Data &amp; Decision Intelligence. (2026, 4 novembre). Crescita record del mercato dei Big Data nel 2026, 5 miliardi di euro, +24%. Ma solo un\u2019azienda su 6 usa sistematicamente i dati nelle decisioni [Comunicato stampa]. Politecnico di Milano. <a href=\"https:\/\/www.osservatori.net\/comunicato\/data-decision-intelligence\/big-data-italia-mercato\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.osservatori.net\/comunicato\/data-decision-intelligence\/big-data-italia-mercato\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Irion ha supportato la ricerca come sponsor e ha partecipato al convegno con Mario Vellella, Evangelism &amp; Presales Director, Nicola Nodari, Executive Sales Account, ed Enrico Galimberti, Sales Account. Le imprese italiane investono sempre di pi\u00f9 in dati e AI, ma solo una parte di loro riesce a trasformarli in decisioni. \u00c8 quanto emerge dalla [&hellip;]<\/p>\n","protected":false},"author":401,"featured_media":71579,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":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":"","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":""}},"footnotes":""},"categories":[123],"tags":[],"settori":[],"topics":[],"cliente":[],"partner":[],"authors":[],"personas":[],"knowledge_area":[],"use_cases":[],"class_list":["post-71569","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-eventi"],"gutslider_comments":0,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Investire nei dati non basta: serve la Decision Intelligence<\/title>\n<meta name=\"description\" content=\"Decision First: dati, AI e qualit\u00e0 del dato al convegno dell\u2019Osservatorio Data &amp; Decision Intelligence del Politecnico di Milano. 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