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Data Monetization – Use Cases, Implementation and Added Value

Learn how innovative organizations monetize their data

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Data is a central resource in the 21st century. Only those who manage to extract value from their data will remain competitive so many organizations are turning to innovative ways of using their data to create value. Data monetization refers to the process of identifying and marketing data or data-based products to generate monetary value. The core of data monetization is data products (i.e., products that are based on raw, refined or analyzed data). Data products can take many forms, including consumable data sets, analysis results and operational applications that contain analysis results.

These can come as reports, extensions to existing products, digital platforms or can be incorporated into new business models. When discussing the use of data products, a distinction should be made between internal and external data monetization. Internal data monetization aims to improve internal processes such as marketing and customer experience or the maintenance of equipment. On the other hand, external data monetization involves the use of data to extend an organization’s product offering with data, data-driven services or business models to create new revenue streams. This survey-based study offers insights into how European companies are approaching data monetization.

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真正让大数据成为主流的是,大数据不仅能够与数据科学家和技术人员相连,还与业务人员密切相关。当然,其中关键的一点是可视化,即能够向用户显示信息,这不仅仅是枯燥地罗列条目,也不仅仅是显示数字甚至图表,而是生动地显示图表、图形和可视化。

关于 Tableau

Tableau 帮助人们将数据转化为可以付诸行动的见解。探索无所不能的可视化分析。只需点击几下即可构建仪表板,进行即兴分析。与任何人共享自己的工作成果,对公司发挥更大影响力。从全球性企业到早期初创企业和小企业,使用 Tableau 来查看和理解数据的人无处不在。



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