通信事業者のビックデータ運用、アプリケーションおよびサービス...市場調査レポートについてご紹介

1.0 EXECUTIVE SUMMARY 4
2.0 INTRODUCTION 8
2.1 WHAT IS BIG DATA? 8
2.2 WHY IS BIG DATA IMPORTANT? 10
2.3 WHAT ABOUT ANALYTICS? 12
2.4 WHAT ABOUT BUSINESS INTELLIGENCE? 14
3.0 TELECOM AND BIG DATA 16
3.1 SOURCES OF BIG DATA IN TELECOM 16
3.2 TELECOM A KEY SOURCE OF ANALYTICS 20
3.3 ENTERPRISE BENEFITS FROM TELECOM BUSINESS INTELLIGENCE 23
4.0 CARRIERS AND BIG DATA 28
4.1 CARRIER BIG DATA STRENGTHS 28
4.1.1 MANY DATA CAPTURE SOURCES 28
4.1.2 CARRIERS ARE TRUSTED ENTITIES 30
4.2 CARRIER BIG DATA WEAKNESSES 31
4.2.1 NOT GOOD AT ORGANIC APP DEVELOPMENT 31
4.2.2 NEED HELP IDENTIFYING ENTERPRISE SOLUTIONS 32
5.0 NEW TELECOM BIG DATA APPLICATIONS AND SCENARIOS 35
5.1 FRAUD DETECTION AND PREVENTION 35
5.2 SUPPORT FOR MARKETING AND SALES 38
5.3 MOBILE LOCAL SOCIAL COMMERCE 40
5.4 PUBLIC SAFETY AND LAW ENFORCEMENT 42
6.0 THE FUTURE OF BIG DATA DRIVEN APPLICATIONS 44
6.1 TECHNOLOGY VS. SOCIAL ACCEPTANCE 44
6.1.1 PRIVACY AND SECURITY ISSUES 44
6.1.2 ANONYMIZING DATA IS NOT ENOUGH 47
6.2 ECOSYSTEM EVOLUTION 48
6.2.1 THE NEED FOR DATA MEDIATORS/BROKERS 48
6.2.2 THE NEED FOR ENTERPRISE INVOLVEMENT 50
6.3 THE ONGOING ROLE OF THE CARRIER 52
6.3.1 CARRIER INTERNAL USE OF BIG DATA 52
6.3.2 CARRIER TWO-SIDED BUSINESS MODEL 53
7.0 CONCLUSIONS AND RECOMMENDATIONS 56
7.1 CONCLUSION 56
7.2 RECOMMENDATIONS 57