This module underscores the importance of data analytics in agriculture, exploring the potential of AgTech-generated data for enhanced farm management. It outlines challenges in aggregating and utilising data, introduces four key analytics types (descriptive, diagnostic, predictive and prescriptive analytics), and emphasises the role of machine learning. The module encourages farmers to “be data ready” and highlights the evolving analytical capabilities that can contribute to the transformation of agriculture.