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Come gestire un progetto Big Data

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Per gestire un progetto Big Data è necessario compiere 5 passaggi fondamentali: scopriamoli assieme.

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Come gestire un progetto Big Data

  1. 1. Gestire un progetto Big Data I 5 passaggi fondamentali
  2. 2. 1. Definisci il problema e poniti le giuste domande Identifica le domande strategiche per il tuo business e individua il tipo di dati di cui hai bisogno per rispondervi. In questa fase hai bisogno di: - Un leader che guidi il progetto; - Un’efficace gestione dei talenti delle risorse umane in gioco; - La giusta tecnologia per supportare il trattamento dei dati; - Capacità di gestire il processo decisionale; - Una cultura aziendale propositiva e attenta all’innovazione.
  3. 3. 2. Raccogli i dati Organizza e sfrutta i dati che possono risolvere il tuo problema, raccogliendoli da fonti esterne (social network, p.e.) ed interne (gestionali, datawarehouse…). I dati che dovrai collezionare hanno diverse forme e strutture: scegliendo strumenti tecnologici aperti e flessibili puoi garantire un’adeguata integrazione degli stessi.
  4. 4. 3. Tratta le informazioni con motori adeguati Usa il potere di sistemi informatici distribuiti e scalabili. Potrai così garantire ottime performance e sfruttare tutti i vantaggi delle Advanced Analytics e del Machine Learning. Advanced Analytics Big Data Machine Learning Big Data
  5. 5. 4. Analizza Implementa tecnologie che permettano di ottenere analitiche chiare e subito comprensibili basate su precisi algoritmi di machine learning. Ottieni analisi in real time: - Descrittive; - Predittive; - Prescrittive.
  6. 6. 5. Decidi Le analitiche così ottenute, capaci di prevedere anche fenomeni futuri, ti permettono di prendere decisioni migliori e più consapevoli, basate su dati integrati e certificati.
  7. 7. www.miriade.it/portfolio/big-data/ marketing@miriade.it Per saperne di più
  8. 8. Grazie per l’attenzione!

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