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Reactive Data to Proactive Intelligence-the Way forward for Telcos


Affiliations
1 IIM-Lucknow, Ericsson India Global Services, Bangalore, Karnataka., India
2 IIM-Lucknow, Ericsson India Global Services, Gurgaon, Faridabad Road Gwal Pahari,Gurgaon, Haryana., India
     

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Earlier this year Wall Street valued Facebook over hundred billion dollars. Google, one of the biggest giants of Internet, earns close to ten billion dollars in a quarter year. So what makes Facebook or Google so valuable is-the data assets that these companies have compiled over years coupled with analytics providing insights in to their user's lives. Traditionally telcos have been providing services such as voice, messaging, data and other value added services to customers globally. While providing these services telcos have built a mountain of information generated by subscriber's usage. The data asset that telcos have accumulated is complete with respect of subscriber's personal information such as gender, age, location, demographics etc. Are there real opportunities for telecom operators to cash in the existing data assets?

In this paper we have represented data monetization opportunities for telcos in the 2×2 matrix, with existing and new data assets along the vertical axis and downstream and upstream customers along the horizontal axis. Quadrant formed between existing data assets and downstream customers will have opportunities such as CEM, tariff plans, cross-selling and customer microsegmentation. Opportunities in other quadrant, formed between new data assets and upstream customers, will be offerings in sectors such as healthcare, transportation, insurance and government. This paper creates a framework for telcos to understand their current position and strategize their desired position as part of recommendation. It also touches upon the challenges of using user data and the legal policies around it.


Keywords

Business Intelligence, Data Monetization, Data Analytics
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  • Ericsson. (2012). TrafficandMarketDataReport, Retrieved from http://www.ericsson.com/newsI1617338.
  • Rochet, J. c., & Tirole, J. (2003). Platform competition in two-sided markets, Journal of the European Economic, 1(4), 990-1029.
  • Andersson, R. (2010). Location based advertising and marketing. Location based advertising and marketing, 188.
  • Media, O. (2011). 02 media. Retrieved from Weve: http://www.weve.com/.
  • Retrieved from http://www.privacyrights.org/500-million-records-breached.
  • Retrieved from https://www.javelinstrategy.com/brochure-158.
  • Retrieved from http://online.wsj.com/articie/SBI0001424052748703957804575602730678670278.html?mod=WSJ _hp_MIDDLETopStories.
  • Mortensen, M. H. (2012). Webinar. Customer Care Multi Client Briefing.
  • Retrieved from http://www.businessweek.comlglobalbiz/content/oct2009/gb20091 014_194 752.htm
  • Report, T. 2. (2012). UTF Players. Retrieved 2012, fromUTF Players-Threat or opportunity: http://www.te1-co2research. comlarticles/EB _under- the- fioor-playersthreat-opportunity _ Summary.

Abstract Views: 329

PDF Views: 4




  • Reactive Data to Proactive Intelligence-the Way forward for Telcos

Abstract Views: 329  |  PDF Views: 4

Authors

Vineeta Gupta
IIM-Lucknow, Ericsson India Global Services, Bangalore, Karnataka., India
Saurav Bhatia
IIM-Lucknow, Ericsson India Global Services, Gurgaon, Faridabad Road Gwal Pahari,Gurgaon, Haryana., India

Abstract


Earlier this year Wall Street valued Facebook over hundred billion dollars. Google, one of the biggest giants of Internet, earns close to ten billion dollars in a quarter year. So what makes Facebook or Google so valuable is-the data assets that these companies have compiled over years coupled with analytics providing insights in to their user's lives. Traditionally telcos have been providing services such as voice, messaging, data and other value added services to customers globally. While providing these services telcos have built a mountain of information generated by subscriber's usage. The data asset that telcos have accumulated is complete with respect of subscriber's personal information such as gender, age, location, demographics etc. Are there real opportunities for telecom operators to cash in the existing data assets?

In this paper we have represented data monetization opportunities for telcos in the 2×2 matrix, with existing and new data assets along the vertical axis and downstream and upstream customers along the horizontal axis. Quadrant formed between existing data assets and downstream customers will have opportunities such as CEM, tariff plans, cross-selling and customer microsegmentation. Opportunities in other quadrant, formed between new data assets and upstream customers, will be offerings in sectors such as healthcare, transportation, insurance and government. This paper creates a framework for telcos to understand their current position and strategize their desired position as part of recommendation. It also touches upon the challenges of using user data and the legal policies around it.


Keywords


Business Intelligence, Data Monetization, Data Analytics

References