How can a Business Analyst leverage data analytics during the analysis phase?

A Business Analyst can leverage data analytics during the analysis phase primarily by deriving insights from data to support decision-making and requirements. Data analytics involves examining datasets to uncover trends, patterns, and correlations that may not be immediately obvious. By analyzing relevant data, a Business Analyst can provide evidence-based insights that help inform the project's direction, validate assumptions, and shape the requirements based on actual user needs or behavior.

This approach enhances the decision-making process by grounding it in quantitative evidence rather than relying solely on qualitative feedback or intuition. For example, through data analytics, the Business Analyst can identify key performance indicators, customer buying patterns, or potential areas of improvement, all of which can significantly influence the project's outcomes and provide a clearer understanding of stakeholder needs.

The other options do not address the specific use of data analytics in the way that option B does. Conducting surveys for stakeholder feedback is indeed valuable for gathering qualitative information, but it does not involve data analytics directly. Implementing new technology solutions may result from insights gained, but it does not reflect the analytical process itself. Creating detailed project timelines is more focused on project management aspects rather than analysis, which is distinct from the application of data analytics.