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モバイル分析およびビッグデータ:MNO、ブロードバンドおよびOTT向けの戦略

Mobile Analytics & Big Data

発行 Juniper Research 商品コード 282653
出版日 ページ情報 英文
納期: 即日から翌営業日
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モバイル分析およびビッグデータ:MNO、ブロードバンドおよびOTT向けの戦略 Mobile Analytics & Big Data
出版日: 2013年09月04日 ページ情報: 英文

当商品の販売は、2016年04月15日を持ちまして終了しました。

概要

当レポートは、分析プラットフォームのアプリケーションによってビッグデータ成長の収益化に努めるMNO(モバイルネットワークオペレーター)、OTT(オーバーザトップ)企業および主要ブランドの戦略について詳細に調査し、分析の課題、消費者行動パターンの収益化、および専門家の分析と戦略的提言などを提供しており、主要8地域における収益機会の予測、および主要企業のプロファイルを交え、概略以下の構成でお届けいたします。

エグゼクティブサマリー

第1章 ビッグデータ・分析のイントロダクション

  • ビッグデータ・分析の成長に備える
  • ビッグデータとは何か?
  • ARPUの減少、コストの上昇:MNOの基本的な課題
  • モバイル分析プラットフォーム

第2章 ビッグデータ:モバイルエコシステムの予測

  • イントロダクション
  • ビッグデータの課題
  • ビッグデータ・分析の資本化:新しい知識や技能
  • ビッグデータ戦略の設計

第3章 MNOおよびオペレーショナル分析の利用

  • オペレーショナル分析とMNO
  • オペレーショナル分析の提供
  • オペレーショナル分析プラットフォームの実行
  • 効率を向上させるための

第4章 MNOおよび消費者分析の利用

  • 顧客分析とMNO
  • 顧客分析の課題
  • 顧客分析の提供
  • 顧客分析:新しい機会

第5章 MNO向けの新しいビジネスモデル

  • イントロダクション
  • 実行の課題
  • MNOの提携
  • 結論:MNO効率における定量的改善

第6章 OTTプロバイダーと分析の利用

  • イントロダクション
  • OTT市場における新しい分析動向
  • OTT市場における分析の収益化
  • 結論

第7章 ビッグデータおよび分析を導入する大手ブランド

  • ビッグデータ・分析:大手ブランド別の利用
  • 「早期導入者(アーリーアダプター)」セグメント
  • 結論

第8章 分析機会:サマリー・予測

  • イントロダクション
  • 分析導入の課題
  • 分析の主な役割
  • 分析の収益機会
  • 予測
  • 結論:分析のメリット

第9章 分析プラットフォームベンダーのプロファイル

  • イントロダクション
  • 分析プラットフォームベンダーのポジショニング
  • ベンダー評価手法
  • 制限および解説
  • 新しいポジショニングマトリクスの結果
  • ベンダーの分類
  • ベンダーのプロファイル
目次

Juniper Research is well positioned to provide a unique market analysis of where mobile now sits within and across a number of disparate industries, highlighting and assessing the intra- and inter-segment trends and challenges that have emerged.

This new research from Juniper provides an in-depth assessment of MNO (Mobile Network Operator), OTT (Over The Top) player and leading brand strategies as they seek to monetise the growth in Big Data through the application of analytics platforms.

Key Features

  • In-depth analysis of key emerging analytics trends and business models across the mobile value chain, illustrated with a series of deployment case studies.
  • Explores key issues such as the challenges involved in using analytics to deliver personalised data plans in a 4G environment.
  • Expert analysis supported by interviews with MNOs, analytics providers and regulators including Actix, Agilis International, Avvasi, Guavus, Telefonica Dynamic Insights and the UK Information Commissioner's Office.
  • Innovative matrix which enables MNOs, OTT providers, brand and platform providers to prioritise their strategic decision-making in the Big Data space.
  • Benchmark industry forecasts for cost savings and revenue opportunities.

Key Questions

  • 1. What are the implications of Big Data for the mobile ecosystem?
  • 2. What strategies should MNOs, OTTs, enterprises and analytics providers implement to maximise their opportunities from the Big Data explosion?
  • 3. How can analytics enhance customer lifecycle management?
  • 4. How big is the opportunity for cost savings from the implementation of analytics platforms?
  • 5. Which MNOs and OTTs have successfully deployed analytics platforms?

Companies Referenced

Interviewed : Actix, Agilis International, Alcatel-Lucent, Amethon Solutions, Avvasi, Guavus, Lavastorm, MACH, Roamware, Syniverse, The Now Factory, Real Impact Analytics, Telefonica, Tellabs, UK Information Commissioner's Office.

Profiled : Actix, Agilis International, Alcatel-Lucent, Alteryx, Amethon Solutions, Avvasi, Guavus, Intersec, Lavastorm, Syniverse, The Now Factory, Real Impact Analytics, Tekelec, Telefonica, Tellabs.

Case Studied : Amazon, Badoo, Bharti Airtel, C Spire Wireless, Disney Corporation, Dunnhumby, EasyJet, Emirates, Facebook, MTN, Netflix, Nokia, Reliance Communications, SingTel, Telefonica Argentina, Telefonica Dynamic Insights, Tellabs Insight Analytics Services, Turkcell, Twitter, Verizon Precision Market Insights, Vivo, Walmart, Weve, Wind Mobile.

Referenced : Accenture, Actian, Acxiom, Amdocs, America Movil, Amobee, Apache, Apple, Asda, AT&T, Atlas, Belgacom, Bell Labs, BlackBerry, Bluefin Labs, BlueKai, Bristol Meyers Squibb, Carlyle Group, Cisco, Citus Data, Claro Argentina, Cloudera, Cricket Communications, Datalogix, Dell, Demos, Deutsche Telekom, EE (Everything Everywhere), Epsilon, Ericsson, Ernst & Young , Experian Marketing Services, Four Square, France Telecom, Gates Foundation, GfK, Global Company Communications, Globe, Google, GSMA, H3G, Harvard Business Review, Hitwise Mobile, HP, HTC, Huawei, IBM, Infochimps, JDSU, Juniper Networks, Kabel Deutschland, Kellog, KPMG, Kraft, Kruger, Lucky Sort, Martin Dawes Systems, Merrill Lynch, Microsoft, MTS, NASA, New MACH, Nigerian Communications Commission, O2 UK, Optus, Oracle, Orange, Pandora, Parse, Pfizer, Pipeline, PWC, Roamware, Slingbox, Sonera, Tata Consultancy Services, Telcel, Telia, Telkomsel, Telstra, Teoco, Teradata, Tesco, T-Mobile, Ubalo, Verizon, Vertex Analytics, Vimpelcom, VIPnet, Virgin Mobile, Vodacom, Vodafone, Wall Street & Technology, WEDO Technologies, World Bank, Yahoo, YouTube.

Data & Interactive Forecast

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables. Ifxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Forecast suite includes:

  • Country-level data for customer lifecycle management savings for 15 national markets. (Australia, Brazil, Canada, China, France, Germany, Italy, Japan, Malaysia, Mexico, Philippines, Singapore, Spain, UK and US).
  • Sector and Regional Analysis tools allowing clients to compare select markets side by side in customised charts and tables.
  • Access to the full set of forecast data of 25 tables and over 2,800 datapoints.

Table of Contents

1. Introduction To Big Data And Analytics

  • 1.1 Setting the Scene for Growth in Big Data and Analytics
    • Figure 1.1: Total Mobile Data Traffic Generated by Smartphones, Featurephones & Tablets (PB) pa Split by 8 Key Regions 2012-2017
  • 1.2 What is Big Data?
    • Figure 1.2: The Four Vs of Big Data and Issues
    • 1.2.1 The Definition of Big Data Used in This Report
    • 1.3 Falling ARPU, Rising Costs: the Fundamental Challenge for MNOs
    • Figure 1.3: Baseline Analysis of Selected National ARPUs 2007-2012 (2007=100)
    • Table 1.4: Selected MNO Churn Rates (%)
  • 1.3.1 Data Growth is Outstripping Data Revenue Growth
    • Figure 1.5: Orange Increase in Year-on-Year Mobile Data Volumes (growth multiple)
    • 1.3.2 Analytics in the LTE Age
  • 1.4 The Mobile Analytics Platform
    • Figure 1.6: The Key Functions of a MNO Analytics Platform
    • Figure 1.7: The Four Layers of Analytics
    • 1.4.1 What Does an Analytics Platform Consist of?
    • 1.4.2 Analytics Platform Provision
    • Figure 1.8: Types of Analytics Platform Provider
    • 1.4.3 Who is the Customer? Customer Analytics
    • Table 1.9: The Four Stages of Customer Analytics
    • 1.4.4 Maintenance: Operational Analytics
    • 1.4.5 The Provision of New Value Added Services
    • 1.4.6 Benefits Summary
    • Figure 1.10: The Key Questions for a Data Analytics Platform

2. Big Data: Implications For The Mobile Ecosystem

  • 2.1 Introduction
    • Table 2.1: Big Data and Analytics uses by the MNO
  • 2.2 The Big Data Challenge
    • 2.2.1 The Challenge for MNOs
      • i. Capturing Consumer Information
    • 2.2.2 The Challenge Across the Value Chain
  • 2.3 Capitalising on Big Data and Analytics: a New Skillset
    • 2.3.1 The MNO Approach
    • 2.3.2 The OTT Approach
  • 2.4 Designing a Big Data Strategy
    • 2.4.1 Big Data Strategies for MNOs
    • Table 2.2: Importance Grades for Big Data and Analytics Strategy Implementation
    • Table 2.3: MNO Strategies for the Deployment of Big Data and Analytics
    • 2.4.2 Big Data Strategies for OTTs
    • Table 2.4: OTT Provider Strategies for the Deployment of Big Data and Analytics
    • 2.4.3 Big Data Strategies for Big Brands
    • Table 2.5: Big Brands Enterprise Strategies for the Deployment of Big Data and Analytics
    • 2.4.4 Big Data Strategies for Analytics Providers
    • Table 2.6: Analytics Provider Strategies to Enable the Deployment of Big Data and Analytics

3. MNOs And The Use Of Operational Analytics

  • 3.1 Operational Analytics and the MNO
    • Figure 3.1: Traffic Streams on a Mobile Network
    • Figure 3.2: Operational Analytics and MNO Functions
    • 3.1.1 Operational Analytics and QoE
    • 3.1.2 The Benefits of Operational Analytics
  • 3.2 Operational Analytics Provision
    • 3.2.1 Operational Analytics and Content Delivery
    • 3.2.2 Operational Analytics and Billing
    • 3.2.3 Operational Analytics and Network Management
    • 3.2.4 Operational Analytics and Roaming
    • 3.2.5 Operational Analytics and Carrier Management
    • 3.2.6 Operational Analytics and Vendor Settlements
    • 3.2.7 Operational Analytics and Fraud Management
  • 3.3 Implementing the Operational Analytics Platform
    • 3.3.1 Key Trends in Operational Analytics Implementation
    • 3.3.2 Requirements for Operational Analytics Provision
  • 3.4 Using Predictive Analytics to Improve Efficiency

4. MNOs And The Use Of Customer Analytics

  • 4.1 Customer Analytics and the MNO
    • Figure 4.1: MNO Customer Analytics Functions
  • 4.2 The Challenge of Customer Analytics
    • 4.2.1 Regulatory Concerns
      • i. 'The Trusted Keeper of Personal Information'
      • ii. The Privacy Hierarchy
    • Figure 4.2: The Privacy Hierarchy Used by the MNO
  • 4.3 Customer Analytics Provision
    • 4.3.1 Customer Analytics and Customer Acquisition Management
    • 4.3.2 Customer Analytics and Customer Churn Management
    • 4.3.3 Customer Analytics and Usage Risk Management
    • Table 4.3: Revenue Assurance Methodology Identified by the TeleManagement Forum
    • 4.3.4 Customer Analytics and User Segmentation
    • 4.3.5 Customer Analytics and Subscriber Management
  • 4.4 Customer Analytics - New Opportunities
    • Table 4.4: Amdocs Roadmap for MNO Innovation
    • 4.4.1 The Monetisation of Customer Information
      • i. Monetisation with Third Parties

5. Emerging Business Models For MNOs

  • 5.1 Introduction
  • 5.2 Challenges to Implementation
  • 5.3 Partnerships for the MNO
    • 5.3.1 Partner Options
    • 5.3.2 Business Opportunities
    • 5.3.3 Emerging Revenue Opportunities
      • i. Smart Cities and Analytics
      • Table 5.1: Survey of 100 Smart Cities (per cent)
      • ii. Mobile Advertising and Analytics
      • Figure 5.2: The Weve Analytics Platform
      • iii. New Use Segmentation
  • 5.4 Conclusions: Quantifying Improvements in MNO efficiency

6. OTT Providers And Their Use Of Analytics

  • 6.1 Introduction
  • 6.2 Emerging Analytics Trends in the OTT Space
  • 6.3 Monetisation of Analytics in the OTT Space
    • i. Using Analytics to Monetise Users with Advertising
    • Figure & Table 6.1: Active Facebook Users (m) PC only vs Mobile 2005-2013
    • ii. Facebook and Mobile Advertising
    • iii. Prospects and Opportunities
    • i. Online Dating with Personalised Email Using Analytics
    • ii. Prospects and Opportunities
    • i. Using Analytics to Provide Customer Micro-Segmentation
    • ii. Prospects and Opportunities
    • i. Moving into Real-time Advertising to Earn Revenue
    • ii. Prospects and Opportunities
  • 6.4 Conclusion

7. Big Brands Deploying Big Data And Analytics

  • 7.1 Big Data and Analytics - Usage by Enterprise Big Brands
  • 7.2 'Early Adopter' Segments
    • 7.2.1 Retail
    • Table 7.1: Dunnhumby Four Stage Loyalty Approach
    • 7.2.2 Financial Services
    • 7.2.3 Airline
      • i. Summary - Airlines and Big Data and Analytics
    • 7.2.4 Other Industries
  • 7.3 Conclusion

8. Analytics Platform Vendor Profiles

  • 8.1 Introduction
  • 8.2 Analytics Platform Vendor Positioning
  • 8.3 Vendor Assessment Methodology
  • 8.4 Limitations and Interpretation
  • 8.5 New Positioning Matrix Results
    • Figure 8.1: Analytic Platform Vendor Positioning Matrix
  • 8.6 Vendor Groupings
    • 8.6.1 Summary
    • i. On Track Vendors
    • ii. Vendors Exceeding Expectations
    • iii. Vendors with Further Potential
    • 8.6.2 Strategy Conclusions - New Analytics Provider Activity
  • 8.7 Mobile Analytics & Big Data Movers & Shakers
    • 8.7.1 Vendor Profiles
    • 8.7.2 Actix
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients and Strategic Partnerships
      • iv. Products and Services
      • v. Junipers View: Actix Key Strengths and Strategic Development Opportunities
    • 8.7.3 Agilis International
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Agilis International Key Strengths and Strategic Development Opportunities
    • 8.7.4 Alcatel-Lucent
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Alcatel-Lucent's Key Strengths and Strategic Development Opportunities
    • 8.7.5 Alteryx Inc
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Alteryx Inc's Key Strengths and Strategic Development Opportunities
    • 8.7.6 Amethon Solutions
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Amethon Solutions' Key Strengths and Strategic Development Opportunities
    • 8.7.7 Avvasi
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Avvasi's Key Strengths and Strategic Development Opportunities
    • 8.7.8 Guavus
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Guavus' Key Strengths and Strategic Development Opportunities
    • 8.7.9 Intersec
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Intersec's Key Strengths and Strategic Development Opportunities
    • 8.7.10 Lavastorm
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Lavastorm's Key Strengths and Strategic Development Opportunities
    • 8.7.11 Syniverse (formerly MACH)
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Syniverse's Key Strengths and Strategic Development Opportunities
    • 8.7.12 The Now Factory
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: The Now Factory's Key Strengths and Strategic Development Opportunities
    • 8.7.13 Real Impact Analytics
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Real Impact Analytics' Key Strengths and Strategic Development Opportunities
    • 8.7.14 Tekelec
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Tekelec's Key Strengths and Strategic Development Opportunities
    • 8.7.15 Telefonica Dynamic Insights
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Telefonica Dynamic Insights' Key Strengths and Strategic Development Opportunities
    • 8.7.16 Tellabs Insight Analytics Services
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products and Services
      • v. Juniper's View: Tellabs Insight Analytics Services' Key Strengths and Strategic Development Opportunities
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