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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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La capacidad de conectarse no solo con tecnólogos y científicos de datos, sino también con profesionales del mundo empresarial, es lo que hará que los big data se conviertan en una tendencia dominante. Sin duda, una de las claves es crear visualizaciones que cobren vida y no se limiten a mostrar datos, números o gráficos.

Acerca de Tableau

Tableau ayuda a las personas a transformar los datos en información útil. Explore con análisis visuales ilimitados. Diseñe dashboards y haga análisis ad hoc con unos pocos clics. Comparta su trabajo con quien quiera y genere un impacto positivo en su empresa. Multinacionales, empresas pequeñas y emergentes... Todo el mundo usa Tableau para ver y comprender sus datos.



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