This whitepaper introduces the Data-as-a-Product (DaaP) model, advocating a product-centric approach to data that enhances trust, usability, and business value. It outlines eight best practices, including aligning data with business goals, lifecycle management, data democratization, and continuous innovation. By integrating data products into workflows and measuring impact early, organizations can transform fragmented data into scalable, AI-powered assets that improve decisions, streamline operations, and drive sustainable growth and competitive advantage.

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