In the era of Big Data Analytics (BDA), investments surge, yet the clarity on returns from these projects and their resultant strategic value remains ambiguous. While a pivotal goal of BDA is to strengthen the decision-making process, insights derived from data often fail to lead to action. Thus, there is a need to include data-driven storytelling to bridge the gap between insights and actions. Despite the importance of data storytelling, there is a lack of understanding of how to use data storytelling in various contexts. Using typology theory, we identify four types of data storytelling and theorize the values of the data storytelling outcomes. A field study was conducted in three companies to validate the different types of data storytelling. This article underscores the profound importance of data storytelling in transforming data into impactful insights.