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Three Models for External Data Monetization PPT


This PPT slide, part of the 27-slide Pathways to Data Monetization PowerPoint presentation, presents an overview of 3 external business models for data monetization, emphasizing the importance of making data accessible to partners and customers. The overarching aim is to leverage data to create new revenue streams.

The first model, "Data as a Service (DaaS)," is described as the most basic approach. It involves selling data directly to end customers or intermediaries who analyze the data for insights. This model is characterized by its simplicity,, but it also has the lowest revenue potential and minimal value impact on customers.

The second model, "Insight as a Service (IaaS)," represents a more advanced offering. It builds on the foundation of DaaS by applying sophisticated analytics to the data, which generates actionable insights. This model has a moderate revenue potential and provides a more significant value impact compared to DaaS.

The third model, "Analytics-enabled Platform as a Service (APaaS)," is noted as the most complex of the three. It involves utilizing proprietary algorithms to enrich data for customers via a self-service platform. This model not only offers the highest revenue potential, but also delivers the greatest value to customers.

The slide concludes by indicating that the external pathway to data monetization presents more substantial opportunities than internally focused alternatives. This insight suggests that organizations should consider these external models to fully capitalize on their data assets. Understanding these distinctions is crucial for decision-makers looking to enhance their data strategies and drive revenue growth.




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