Evolving Strategies for Capitalizing on External Data PPT
This PPT slide, part of the 27-slide Pathways to Data Monetization PowerPoint presentation, presents an overview of 3 distinct external data monetization models: Data as a Service (DaaS), Insight as a Service (IaaS), and Analytics-enabled Platform as a Service (APaaS). Each model is outlined with key characteristics, revenue potential, and customer value impact.
DaaS is described as the simplest model, where data is anonymized and aggregated before being sold to customers or intermediaries. This approach has low revenue potential and customer value impact, making it a straightforward entry point for organizations looking to monetize their data.
IaaS builds on the DaaS framework by incorporating advanced analytics to derive actionable insights from the data. This model allows for data aggregation from both internal and external sources, which enhances its value. The revenue potential and customer value impact are moderate, indicating a step up in complexity and value compared to DaaS.
APaaS represents the most sophisticated model. It utilizes complex algorithms to provide enriched data through a self-service platform. This model is typically cloud-based and offers real-time data delivery, which significantly increases both revenue potential and customer value impact to high levels. APaaS not only enhances data accessibility, but also opens avenues to new markets, often referred to as "Blue Oceans."
The slide concludes by suggesting that these models can be viewed as a maturity framework, where businesses evolve from DaaS to IaaS and ultimately to APaaS as they develop their data capabilities. This progression highlights the increasing complexity and potential of data monetization strategies. Understanding these models is crucial for organizations aiming to leverage their data assets effectively.
This slide is part of the Pathways to Data Monetization PowerPoint presentation.
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