Which technique is useful for informing data insights and trends?

Data visualization is a powerful technique for informing data insights and trends because it transforms complex data sets into visual formats, such as charts, graphs, and dashboards. This visual representation makes it easier for stakeholders to grasp patterns, correlations, and trends in the data at a glance, facilitating quicker and more informed decision-making. The ability to visually interpret data helps in identifying outliers, seasonal trends, and overall performance metrics, which might not be immediately apparent in raw data alone.

Data governance, while vital for managing data integrity and security, does not directly present insights through visual means. Data validation ensures that data is accurate and reliable, which is important prior to analysis but does not convey insights directly. Regression analysis is a statistical method used to understand relationships between variables and to predict outcomes, but it often requires further visualization to effectively communicate the findings derived from the analysis. Thus, data visualization stands out as the most effective option for conveying insights and trends from data.