Optimization and Monetization: Super-sizing with Analytics, Big Data, and Policy Image
Price
Reveal Price
Publish Date
1Q 2014
Code
AN-1616
Research Type
Application Analysis Report
Pages
27

Optimization and Monetization: Super-sizing with Analytics, Big Data, and Policy

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Related Service:
5G Core & Edge Networks
Table of Contents Related Research

Mobile data traffic will significantly increase over the next few years for many reasons, i.e. the popularity of smartphones and tablets. This report looks into how mobile network operators (MNOs) and communication service providers (CSPs) can concentrate their efforts in monetizing the large amounts of data that their network generates in order to make timely business decisions to ultimately improve revenue, user experience, and network performance.

Table of Contents

Table of Contents

  • 1. EXECUTIVE SUMMARY
  • 2. OPTIMIZATION AND MONETIZATION OVERVIEW
    • 2.1. Legacy and Current Monetization
      • 2.1.1. Voice Monetization
      • 2.1.2. Data Monetization
    • 2.2. Opportunities and Challenges for Monetization
      • 2.2.1. Unlimited Data Plans
      • 2.2.2. Lack of Differentiation
      • 2.2.3. OTT Challenges
      • 2.2.4. Roaming Tariffs
    • 2.3. Future of Monetization
      • 2.3.1. Sponsored Data
      • 2.3.2. Advertising
      • 2.3.3. Customer Experience Management
  • 3. MONETIZATION ENGINE
    • 3.1. 3GPP Policy Control and Charging
      • 3.1.1. Policy 1.0
      • 3.1.2. Policy 2.0
      • 3.1.3. Policy 3.0
    • 3.2. Policy Control Rules Function
    • 3.3. Policy Control Enforcement Function
  • 4. OUTLOOK
    • 4.1. Traffic and Demand
    • 4.2. Data Optimization and Monetization: When and Where
  • 5. BIG DATA ANALYTICS: IT VENDORS
    • 5.1. Cisco
    • 5.2. HP
    • 5.3. IBM
    • 5.4. Dell
  • 6. BIG DATA ANALYTICS: TELECOM VENDORS
    • 6.1. Alcatel-Lucent
      • 6.1.1. Motive Big Network Analytics
      • 6.1.2. 5780 DSC
    • 6.2. Allot Communications
    • 6.3. Astellia
    • 6.4. Ericsson
    • 6.5. Nokia Solutions and Networks
    • 6.6. Huawei
      • 6.6.1. OceanStor CSS
      • 6.6.2. OceanStor 9000
      • 6.6.3. OceanStor N8500
    • 6.7. ZTE Corporation
    • 6.8. Skyfire
    • 6.9. Openwave
  • 7. BIG DATA ANALYTICS AND SOFTWARE VENDORS
    • 7.1. Citrix (ByteMobile)
    • 7.2. SAP
    • 7.3. Oracle/Tekelec
    • 7.4. Blue Canary
    • 7.5. Guavus
    • 7.6. Zettics
  • 8. VENDOR LINKS
    • 8.1. Big Data Analytics: IT Vendors
    • 8.2. Big Data Analytics: Telecom Vendors
    • 8.3. Data Analytics and Software Vendors

Tables

  1. Annual Regional Subscriptions by Technology, World Market, Forecast: 2013 to 2019
  2. Mobile Network Data Traffic by Technology Generation, World Market, Forecast: 2013 to 2019
  3. Mobile Network Data Traffic by Traffic Type, World Market, Forecast: 2013 to 2019

Charts

  1. Annual Regional Subscriptions by Technology, World Market, Forecast: 2013 to 2019
  2. Mobile Network Data Traffic by Technology Generation, World Market, Forecast: 2013 to 2019
  3. Mobile Network Data Traffic by Traffic Type, World Market, Forecast: 2013 to 2019
  4. 5 Year Data CAGR versus GDP/Capita
  5. 2019 Traffic versus GDP/Capita

Figures

  1. Policy and Charging Rules Function Architectural Interfaces
  2. Cisco Quantum Policy Suite Architecture
  3. HP Smart Profile Server
  4. Flash Networks and IBM Solution Architecture
  5. Motive Big Network Analytics Architecture
  6. Allot ClearSee Analytics Architecture
  7. Astellia Nova Architecture
  8. Ericsson Big Data Analytics Stack
  9. ZTE User Portrait Solution
  10. Skyfire Rocket Optimizer
  11. Openwave Mobility Integra Platform
  12. Guavus Reflex Platform