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Building Trust in Data through Context and Explanation
Building trust in data involves providing context and explanations to data consumers about the source, processing, and calculations used to generate the data. This transparency helps bridge the technical gap between data engineers and consumers, fostering trust. By automating the process of explaining data calculations and implementing governance or catalog solutions, organizations can empower data consumers to understand, trust, and use the data effectively.