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Description:

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

Region:

World

Table Of Contents

Big Data for Telcos - How big data can renew revenue and reduce costs
1. Executive summary 7
1.1. With big data, telcos can generate new revenues and to make savings . 8
1.1.1. A developing big data environment 8
1.1.2. Strong potential savings and limited new revenues 8
1.2. Main potential benefits can be achieved from internal data and internal
applications 9
1.2.1. Various sources of data 9
1.2.2. Applications for internal and external purposes 9
1.3. Telcos helped by big data players and pure players to provide new services . 10
1.3.1. Big data players 10
1.3.2. Pure players 10
1.3.3. A need to raise awareness of telcos 10
1.3.4. Various levels of competition 10
2. Methodology 12
3. Main concepts 14
3.1. Big data 14
3.1.1. Definition 14
3.1.2. Background 15
3.1.3. Technical aspects and key technologies 16
3.1.4. The ecosystem 18
3.1.5. Sizing the market 21
3.1.6. Drivers 21
3.1.7. Barriers 22
4. Telcos and big data 24
4.1. Main activities of a telco: network, products and services, and customers . 24
4.2. Internal and external data 25
4.2.1. Main associated internal data 25
4.2.2. Main potential external data 27
4.2.3. Focus on external data providers 29
4.3. Telco costs breakdown 36
5. Major telco initiatives 38
5.1. Internal use of data 39
5.1.1. For network and infrastructure purposes 39
5.1.2. For product and service purposes 42
5.1.3. For customer purposes 43
5.2. Intermediation for third parties 46
5.2.1. For network and infrastructure purposes 47
5.2.2. For products and service purposes 48
5.2.3. For customer purposes 52
5.3. Sales to third parties 55
6. Conclusion 63
6.1. Internal purpose services 63
6.1.1. Optimisation of network and real-time DPI 63
6.1.2. Improvement of products 63
6.1.3. CRM and Sales 63
6.1.4. Churn prevention 64
6.1.5. Fraud detection 64
6.2. External purpose services 64
6.2.1. Insights 64
6.2.2. Audience measurement 64
6.2.3. Raw data sales 65
6.2.4. Ad networks 65
6.2.5. Recommendations 65
6.2.6. APIs 65
6.3. Global overview of telco opportunities 66

Big Data for Telcos: How big data can get new revenue and reduce costs

Tables

Table 1 : Potential benefits of big data applications for telcos in terms of new revenues and
potential savings, based on telcos revenues and costs in 2012 . 8
Table 2: Major big data players 20
Table 3: Main uses of big data by telcos, by type of players involved and type of target 38
Table 4: Potential benefits of big data applications for telcos in terms of new revenues and
potential savings, based on telco revenues and costs in 2012 . 66

Figures

Figure 1 : Main usages of big data by telcos, by type of players involved and type of target 9
Figure 2: Variety of data sources 14
Figure 3: Stages in data treatment process 15
Figure 4: Breakdown of structured and unstructured data according to type of application . 16
Figure 5: How MapReduce works 18
Figure 6: Big data value chain 19
Figure 7: Worldwide big data revenue forecasts - 2012-2015 21
Figure 8: The main activities of a telco 25
Figure 9: The concept of crossing data from various sources for more complete set of data 27
Figure 10: ‘Blind matching' for political campaigns 28
Figure 11: Yahoo! privacy statement indicates use of external data 28
Figure 12: Yahoo! Ad Interest Manager page 29
Figure 13: Experian cross-channel marketing platform, including data integration 30
Figure 14: Acxiom aboutthedata.com Website 32
Figure 15: comScore Subscriber Analytix for mobile operator data 33
Figure 16: The Tesco Clubcard TV is free for all members, in exchange for personalised ads . 35
Figure 17: Telco costs breakdown 36
Figure 18: Telco network costs breakdown - In blue, costs sensitive to big data applications 36
Figure 19: Telco sales costs breakdown - In blue, costs sensitive to big data applications . 37
Figure 20: Example of an overview provided by Allot - here, the most active subscribers 40
Figure 21: Allot real-time bandwidth utilisation monitoring 41
Figure 22: Aito Customer Experience Analytics data processing and analysis cycle . 43
Figure 23: Sample chart measuring process cycle time, analysed by Software AG platform 44
Figure 24: Oracle real-time decision process 45
Figure 25: Breakdown of losses related to fraud, by communication services and products . 46
Figure 26: Cedexis network performance alert and report 47
Figure 27: Charge to Mobile API by BlueVia 49
Figure 28: Direct-to-bill on Facebook: some operators offer easy two-click process . 50
Figure 29: Telefónica UNICA APIs 51
Figure 30: i-concier service by NTT DOCOMO 54
Figure 31: Mobile spatial statistics, by NTT DOCOMO 56
Figure 32: Examples of analyses by Verizon Precision Marketing Insights . 57
Figure 33: Screenshot of a Smart Steps insight result 58
Figure 34: ATandT AdWorks TV Blueprint 59
Figure 35: Amobee refers to SingTel just like any other operator, as a partner . 60
Figure 36: Orange TraficZen 61

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