Which of the following is NOT a goal of data analysis?

Data analysis primarily aims to transform data into actionable insights that can guide decision-making and strategy development. Among the stated goals, confirming existing assumptions is not typically seen as a primary goal of data analysis. Instead, data analysis seeks to explore data, uncover new insights, provide a deeper understanding of trends, and inform decisions based on evidence.

This involves utilizing various forms of data to draw inferences and identify patterns that may not have been previously recognized. While confirming existing assumptions can be a part of the analytical process, it does not drive the analysis itself; rather, analysis should push beyond prior beliefs to discover novel patterns and insights.

In contrast, collecting various forms of data, guiding informed business decisions, and finding new insights are all at the core of effective data analysis practices. These elements collectively contribute to a more robust understanding of the data landscape and facilitate strategic planning and operational improvements.