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To navigate this data-rich environment successfully, business analysts can turn to process modeling as a powerful tool. Process modeling helps them streamline their efforts, improve dataquality, and make informed decisions throughout the data analytics project lifecycle.
Business analysts can help organizations identify the data sources needed for AI projects, perform data analysis, and develop data models. This involves identifying dataquality issues, ensuring that data is properly labeled and tagged, and selecting the appropriate algorithms for machine learning.
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