Data empowers informed decision-making by providing actionable insights from vast and diverse information streams. It is the backbone of the today’s digital world. Its effective use fuels economic growth, scientific advancements, and personalized solutions in an in an interconnected, technology driven landscape. Data wrangling is a comprehensive process involving several key steps (from data discovery to publication) to transform raw, diverse, messy, and chaotic datasets into a format ready for analysis. This process also closes the knowledge gap between intricate data and useful development insights which is the core of the data-driven decision making. The relevance of data wrangling continues to grow for several reasons including volume & variety of data, advanced analytics & AI, and compliance & data governance etc.