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The Data Analytics Lifecycle is structured with stages like data discovery, preparation, modelling, evaluation, and deployment. Each phase transforms raw data into actionable insights, enabling organizations to make informed decisions. Effective communication and continuous iteration are key to optimizing results throughout this lifecycle. Click here to learn more.
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