Common mistakes in leveraging big data for digital transformation often include a lack of a clear strategy and defined business objectives, leading to data collection without purpose. Many organizations struggle with poor data quality and governance, failing to ensure accuracy, consistency, and proper handling of vast datasets. A significant oversight is underestimating the necessary infrastructure and talent acquisition, resulting in inadequate technology and a shortage of skilled data scientists and engineers. Furthermore, companies frequently make the error of focusing solely on technology implementation rather than deriving actionable insights and real business value from the data. This often creates data silos, hindering a holistic view, and neglecting crucial ethical considerations and data privacy regulations, which are paramount for trust and compliance. More details: https://www.edicionesjournal.com/cambiarubicacion.aspx?pais=Argentina&vuelvo=https://infoguide.com.ua