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商品編號: R2506H 出版日期: 2025/11/01 作者姓名: Srinivasan, Suraj;Seibert, Robin;Aaser, Mohammed 商品類別: Other 商品規格: 2551w 再版日期: 地域: 產業: 個案年度: -
商品敘述:
Many organizations are sitting on valuable proprietary data but lack a clear plan for commercializing it. As interest in selling data grows-driven by advances in AI, pressure to find new sources of revenue, and the success of firms like Amazon, Mastercard, and Instacart-leaders need a structured approach. The most effective strategies start close to home: with core businesses, existing partners, and a focus on data that supports the company''s primary mission. To succeed, companies must first clarify who their data customers are and what problems the data will solve. They also need to choose between direct monetization, such as subscriptions or licensing, and indirect approaches that embed data into existing offerings. And regardless of the method, data privacy, regulatory compliance, and reputational risk must be addressed from day one. Finally, how the data is packaged matters. Firms can sell raw data, bundle insights, or deliver commercially ready products. The more complete the offering, the greater the potential for strategic differentiation-and sustainable returns.
涵蓋領域:
Analytics and data science;Data management;Product development;Strategy
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