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電信業者的巨量資料,深層封包檢測 (DPI) 、分析及資料即服務 (DaaS) :2015-2020年

Carrier Big Data, Deep Packet Inspection, Analytics, and Data as a Service 2015 - 2020

出版商 Mind Commerce 商品編碼 336833
出版日期 內容資訊 英文 25 Pages
商品交期: 最快1-2個工作天內
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電信業者的巨量資料,深層封包檢測 (DPI) 、分析及資料即服務 (DaaS) :2015-2020年 Carrier Big Data, Deep Packet Inspection, Analytics, and Data as a Service 2015 - 2020
出版日期: 2015年08月06日 內容資訊: 英文 25 Pages

在活用結構化、非結構化資料的領域中,向通訊服務供應商展現許多機會。這些機會,從利用深層封包檢測 (DPI) 活用資料本體的新附加價值服務,到為了取得客戶態度相關的推測、知識的資料有效利用,跨多方面。


第1章 摘要整理

第2章 深層封包檢測 (DPI)

  • DPI的促進要素
  • DPI的預測

第3章 電信業者,分析及資料即服務 (DaaS)

  • 電信業者資料管理的運用策略
  • 網路 vs. 用戶分析
  • 對第三方來說的資料、分析的機會
  • 以B2B標準提供資料即服務 (DaaS) 的電信業者
  • DaaS的規劃、策略
  • 附DaaS資料的電信業者收益化

第4章 電信業者策略

  • 即時資料的有效利用
  • 分析、商業智慧的焦點
  • 提供資料發現服務
  • 提供企業客戶巨量資料、分析



There are many opportunities for communication service providers in the area of leveraging structured and unstructured data. These opportunities range from leveraging data for new value added services to leveraging the data itself through the use of deep packet inspection to gain inferences and knowledge about customer behavior. These insights can be used to develop new services as well as optimize quality of experience for the customer base.

Deep Packet Inspection (DPI) represents a form packet filtering that examines the data part (and possibly also the header) of a packet as it passes an inspection point. Data as a Service (DaaS) is defined as any service offered wherein users can access vendor provided databases or host their own databases on vendor managed systems.

This report evaluates Big Data, Analytics, and DPI opportunities and provides a forecast for 2015 through 2020. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Table of Contents

1. Executive Summary

2. Deep Packet Inspection (DPI)

  • 2.1. DPI Drivers
  • 2.2. Deep Packet Inspection Forecast

3. Carriers, Analytics, and Data as a Service (DaaS)

  • 3.1. Carrier Data Management Operational Strategies
  • 3.2. Network vs. Subscriber Analytics
  • 3.3. Data and Analytics Opportunities to Third Parties
  • 3.4. Carriers to offer Data as s Service (DaaS) on B2B Basis
  • 3.5. DaaS Planning and Strategies
  • 3.6. Carrier Monetization of Data with DaaS

4. Carrier Strategies

  • 4.1. Leverage Real-time Data
  • 4.2. Focus on Analytics and Business Intelligence
  • 4.3. Provide Data Discovery Services
  • 4.4. Provide Big Data and Analytics to Enterprise Customers


  • Figure 1: Telecom Deep Packet Inspection Revenue 2015 - 2020
  • Figure 2: Different Data Types within Telco Environment
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