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Its about investing in skilled analysts and robust datagovernance. This means fostering a culture of data literacy and empowering analysts to critically evaluate the tools and techniques at their disposal. It also means establishing clear datagovernance frameworks to ensure dataquality, security and ethical use.
“La qualità del dato viene ottenuta definendo un processo che coinvolge tutti gli attori aziendali e gli strumenti di misurazione appositi”, evidenzia Francesco Saverio Colasuonno, Data & Analytics Office Manager di INAIL. “Le GPT: più efficienza per la datagovernance?
Revisiting the foundation: Data trust and governance in enterprise analytics Despite broad adoption of analytics tools, the impact of these platforms remains tied to dataquality and governance. According to McKinsey , organizations with mature governance frameworks are 2.5
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