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Data Monetization Forecast 2018-2022: How Data Monetization will Evolve and Disrupt Traditional Industries, Such as Automotive and Healthcare - ResearchAndMarkets.com

October 14, 2019

DUBLIN--(BUSINESS WIRE)--Oct 14, 2019--

The “Data Monetization, Forecast 2018 - 2022” report has been added to ResearchAndMarkets.com’s offering.

The study provides insights on the key implications of data monetization on a company’s operating models and business functions. Finally, the study also offers insights on growth opportunities in the space of data monetization along with a brief future prospect of how data monetization will evolve and disrupt traditional industries, such as automotive and healthcare, and what potential new opportunities will be created in the future by data monetization.

An increasing number of companies are starting to build data-driven strategies to fuel growth in the upcoming data economy. Though in its nascent stages, data monetization is having a huge effect on many industry verticals. Every company will, at some stage, transform into a data company through direct or indirect approaches. However, there is a lack of strategic direction and standardization in business processes among companies for building a successful data monetization model.

The success of a data monetization strategy lies in extending the frontiers of digital innovation. This study aims to identify the potential routes for monetizing data assets that would help companies transform digitally and have sustainable growth in the data economy. These routes are designed to provide a clear understanding of the business processes and the evolution of data across the value chain.

Data Bartering:

Data Brokering:

Insights Bartering:

Business Intelligence (BI):

Along with the above monetization models, the study also identifies 7 actionable framework plays that are plugged into various case studies on high-performing data monetization companies. These framework plays are designed to get a 360-degree view on data to use cases by ranking them in terms of providing potential growth opportunities and innovativeness. The foundation of a successful data monetization model is identifying the right strategy, design, and architecture for building a compliant and secure data ecosystem, and, most importantly, having the right pricing framework in place that aligns with the expected business outcome.

Key Topics Covered:

Executive Summary

Data Monetization-Best Practices in Monetizing Data Assets

Data Monetization Overview

Framework Plays

Data Monetization Case Studies

Pricing Rationale and Approaches

Data Privacy and Protection

Conclusion

Appendix

For more information about this report visit https://www.researchandmarkets.com/r/8wicgp

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SOURCE: Research and Markets

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PUB: 10/14/2019 11:50 AM/DISC: 10/14/2019 11:50 AM

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