The data analytics lifecycle provides a systematic framework for handling data from its collection to its eventual application in decision-making, ensuring insights drive strategic decisions.
At the discovery stage, businesses identify objectives and outline problems to solve using data analytics, which aligns the analytics process with the organization's broader vision.
Data preparation is crucial, as collected data needs to be cleaned and formatted; this step ensures high-quality, reliable data for subsequent analysis stages.
Communicating results effectively through dashboards and visualizations enables decision-makers to quickly grasp insights and take essential steps to implement solutions.
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