Data Monetization – Use Cases, Implementation and Added Value (Whitepaper)
This whitepaper, written by Dr. Sebastian Derwisch, is a survey-based study that offers insights into how European companies are approaching data monetization.
About the Whitepaper
Data is a central resource in the 21st century. Only those who manage to extract value from their data will remain competitive. For this reason, many organizations are looking at 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. Data products (i.e., products based on raw, refined or analyzed data) are at the heart of data monetization.
They can take many forms, including consumable data sets, analysis results, and operational applications that contain analysis results.
Internal data monetization aims to improve internal processes such as marketing and customer experience or the maintenance of equipment. External data monetization involves using data to extend an organization’s product offering with data-driven services or business models to create new revenue streams.
As a Tableau Gold Partner, we believe embedded analytics are an essential component for success. Embedded analytics strategies should be fast to deploy and easy to manage. They should provide rich, intuitive visualizations that allow users to identify key data points, and use that knowledge to make informed decisions and monetize their data.
Fill out the form below to download the white paper to learn more about how embedded analytics can add value to your organization. If you have any questions or are ready to get started doing more with your data, contact us and a member of our team will help you become the data hero at your organization.