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Big Data for Telcos

IDate
Published Date » 2013-12-18
No. Of Pages » 66
     
  How big data can renew revenue and reduce costs  
   
 This report is dedicated to the analysis of Big Data opportunities for telecom operators: - What applications can be developed with telcos data? - What kind of new revenues can be generated? - What cost savings can be done thanks to Big Data techniques? Our study provides business cases for each application of analytics that can be done by telcos, for internal and external purposes. Specific figures are provided to estimate the financial benefits of each big data application on the global telecom services market and the report especially ranks the most valuable opportunities for telcos. 
Table of Content

1. Key findings

2. Main concepts
2.1. Big data
2.1.1. Definition
2.1.2. Background
2.1.3. Technical aspects and key technologies
2.1.4. The ecosystem
2.1.5. Sizing the market
2.1.6. Drivers
2.1.7. Barriers

3. Telcos and big data
3.1. Main activities of a telco: network, products and services, and customers
3.2. Internal and external data
3.2.1. Main associated internal data
3.2.2. Main potential external data
3.2.3. Focus on external data providers
3.3. Telco costs breakdown

4. Major telco initiatives
4.1. Internal use of data
4.1.1. For network and infrastructure purposes
4.1.2. For product and service purposes
4.1.3. For customer purposes
4.2. Intermediation for third parties
4.2.1. For network and infrastructure purposes
4.2.2. For products and service purposes
4.2.3. For customer purposes
4.3. Sales to third parties
4.3.1. For customer purposes

5. Conclusion
5.1. Internal purpose services
5.1.1. Optimization of network and real-time DPI
5.1.2. Improvement of products
5.1.3. CRM and Sales
5.1.4. Churn prevention
5.1.5. Fraud detection
5.2. External purpose services
5.2.1. Insights
5.2.2. Audience measurement
5.2.3. Raw data sales
5.2.4. Ad networks
5.2.5. Recommendations
5.2.6. APIs
5.3. Global overview of telcos opportunities

List of Tables

Table 1: Major big data players
Table 2: Main uses of big data by telcos, by type of players involved and type of target


List of Figures


Figure 1: Variety of data sources
Figure 2: How MapReduce works
Figure 3: Big data value chain
Figure 4: Worldwide big data revenue forecasts – 2012-2015
Figure 5: The main activities of a telco
Figure 6: The concept of crossing data from various sources for more complete set of data
Figure 7: ‘Blind matching’ for political campaigns
Figure 8: Yahoo! privacy statement indicates use of external data
Figure 9: Yahoo! Ad Interest Manager page
Figure 10: Experian cross-channel marketing platform, including data integration
Figure 11: Acxiom aboutthedata.com Website
Figure 12: comScore Subscriber Analytix for mobile operator data
Figure 13: The Tesco Clubcard TV is free for all members, in exchange for personalised ads
Figure 14: Example of an overview provided by Allot – here, the most active subscribers
Figure 15: Allot real-time bandwidth utilisation monitoring
Figure 16: Aito Customer Experience Analytics data processing and analysis cycle
Figure 17: Sample chart measuring process cycle time, analysed by Software AG platform
Figure 18: Oracle real-time decision process
Figure 19: Breakdown of losses related to fraud, by communication services and products
Figure 20: Cedexis network performance alert and report
Figure 21: Charge to Mobile API by BlueVia
Figure 22: Direct-to-bill on Facebook: some operators offer easy two-click process
Figure 23: Telefónica UNICA APIs
Figure 24: The five parts of the Telco vs OTT equation

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