Data intelligence (DI) is a multifaceted discipline that enables businesses to extract meaningful insights from their data, empowering informed decision-making and driving business growth. It involves leveraging metadata, processes, AI, technology, and tools to analyze and understand data, transforming it into a strategic asset. DI complements data governance by providing valuable insights to guide decisions and strategies, while also automating tasks such as data classification and integration. The transformation of raw data into actionable intelligence is a multi-step process that involves data collection, cleaning, analysis, visualization, and interpretation. AI and machine learning play a crucial role in this process, enabling businesses to make informed decisions, identify opportunities, and drive growth by leveraging large amounts of data, learning from insights, and making predictions. By adopting DI, businesses can foster a data-driven culture, improve decision-making, operational efficiency, transparency, and trust, while also driving revenue growth, gaining a competitive edge, and minimizing risks.