Digital Transformation & Maturity

Four models of data monetization

This is an excerpt from our paper Revenue Management: Essential for monetizing current and future services. Download the paper for further insight.

Over the past decade, CSPs have attempted to monetize data with varying levels of success. These can be summarized under four distinct models as illustrated in the table below.

 

None of the models is perfect or predominantly successful. Each has shortfalls and requires greater development and refining. The missing elements for effective data monetization include:

  • Greater personalization – putting control in the hands of the customer
  • Measurement of total cost and revenue; success cannot be judged simply by a one-off ARPU increase
  • Greater choice of pricing
  • Effective revenue settlement to partners
  • Greater information about network status and customers
  • Future growth plan – data monetization cannot be a one-time play


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    About The Author

    Chief Analyst

    Mark Newman is an analyst with 25 years of experience delivering insights on the future of the telecoms sector to senior level executives and audiences. Mark’s recent research has focussed on telecoms operator business models, digital transformation, service provider diversification, and the intersection between Internet and telecoms. He delivers analysis, presentations, strategy sessions and workshops to global audiences, helping them to plan for the changes that technology and disruptive new business models that will fundamentally transform their businesses. Mark was Chief Research Officer at Informa Telecoms & Media and Ovum before leaving to set up his own research firm, ConnectivityX, in 2016. He joined the TM Forum as Chief Analyst in February 2017.

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