In today's data-driven business environment, data accuracy is no longer optional; it is essential. Organizations depend on clean, structured data for decision-making, automation, and AI implementation. However, dirty data—characterized by duplicates, missing values, and inconsistencies—costs businesses millions in lost revenue, inefficiencies, and poor decision-making. In Episode 101 of the Localization Fireside Chat, I sat down... Continue Reading →