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Privacy and Big Data: Safeguarding Consumers

出版商 Parks Associates 商品編碼 317873
出版日期 內容資訊 英文 71 Pages
商品交期: 最快1-2個工作天內
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隱私和巨量資料:消費者的保護 Privacy and Big Data: Safeguarding Consumers
出版日期: 2015年07月10日 內容資訊: 英文 71 Pages



第1章 報告摘要

第2章 IoT擴大造成的隱私上的疑慮和巨量資料的市場機會

  • 連網家庭產品與服務的成長
    • 智慧型手機的預測
    • 智慧型電視的預測
    • 智慧家庭控制器的預測
    • 網路連接醫療設備的預測
    • 連網型健身設備的預測
  • 連接性的成長

第3章 資料隱私、安全的生態系統

  • 10大威脅
  • 設備的漏洞

第4章 數據保存的風險與資料洩漏的成本

  • 產業營運上的風險
  • 對企業來說的成本

第5章 巨量資料的資源和價值

  • 消費者簡介資料
  • 個人識別資訊 (PII:Personally Identifiable Information)
  • 媒體互動資料
  • 效能資料的品質
  • PCI (Payment Card Industry) 資料
  • 公共資料
  • 數據移動槓桿: 巨量資料的價值創造

第6章 消費者的展望:隱私和巨量資料

  • 對消費者來說的巨量資料的風險與恩惠
  • 對消費者的連網型設備的隱私&安全上的疑慮

第7章 suite spot的發現

  • 產品附屬的隱私和基本的功能
  • 輔助設備的安全和核心商務機能
  • 風險管理的安全和商務靈活性
  • 消費者的教育與消費者取向安全通報UI
  • 低的規定和最佳業務實踐
  • 固有的疑慮與共享解決方案
  • 巨量資料和智慧資料

第8章 附錄



High-profile security breaches, combined with the increased hacking risks of that come with smart devices, raise consumer concerns about the privacy and security of their personal information. However, big data and analytics are key tools for success with connected home products and systems. This report evaluates consumer concerns and preferences, assesses the security and privacy issues in the current market, and looks at best practices for companies to store and use consumer data while providing consumers with the necessary levels of privacy and security.


Table of Contents


1.0 Report Summary

  • 1.1 Purpose of Report
  • 1.2 Scope of Report
  • 1.3 Research Approach/Sources

2.0 Privacy Concerns and Big Data Opportunities Emerge from IoT Expansion

  • 2.1 Growth in Connected Home Products and Services
    • 2.1.1 Smartphone Forecast (2014-2019)
    • 2.1.2 Smart TV Forecast (2012-2019)
    • 2.1.3 Forecast for Smart Home Controllers (2013-2019)
    • 2.1.4 Networked Medical Devices Forecast (2014-2019)
    • 2.1.5 Connected Fitness Devices Forecast (2014-2019)
  • 2.2 Growth in Connectivity

3.0 The Data Privacy and Security Ecosystem

  • 3.1 Top Ten Threats
  • 3.2 Device Vulnerabilities

4.0 The Risks of Data Retention and Costs of Data Breaches

  • 4.1 Business Operations Risks
  • 4.2 Costs for Companies

5.0 Sources and Value of Big Data

  • 5.1 Consumer Profile Data
  • 5.2 Personally Identifiable Information (PII)
  • 5.3 Media Interaction Data
  • 5.4 Quality of Performance Data
  • 5.5 Payment Card Industry (PCI) Data
  • 5.6 Public Data
  • 5.7 Data Moves the Levers: Creating Value from Big Data
    • 5.7.1 General Business Value Levers
    • 5.7.2 Specific Big Data Levers for the Smart Home Sector

6.0 Consumer Perspectives on Privacy and Big Data

  • 6.1 The Risk and Rewards of Big Data for Consumers
    • 6.1.1 The Risks
    • 6.1.2 The Rewards
  • 6.2 Consumer Privacy and Security Concerns for Connected Devices

7.0 Finding the Sweet Spot

  • 7.1 Privacy as Incidental to the Product versus Essential Feature
  • 7.2 Security as Ancillary versus Core Business Function
  • 7.3 Security as Risk Management versus Business Agility
  • 7.4 Consumer Education versus Consumer Security-Informed UI
  • 7.5 Low Bar versus Best Practices
  • 7.6 Proprietary Concern versus Shared Solutions
  • 7.7 Big Data versus Smart Data

8.0 Appendix

  • 8.1 Glossary
  • 8.2 Index of Companies


  • Timeline of Device Adoption
  • Forecast: Smartphone Unit Sales in U.S.
  • Forecast: Smartphone Penetration in U.S.
  • Forecast: Unit Sales of Smart TVs in U.S.
  • Forecast: Penetration of Smart TVs in U.S. Broadband Households
  • Forecast: Smart Home Controller Unit Sales in U.S.
  • Forecast: Smart Home Controller Penetration in U.S.
  • Forecast: Networked Medical Device Unit Sales in U.S.
  • Forecast: Connected Fitness Tracker Unit Sales in U.S.
  • Forecast: Connected Fitness Tracker Penetration in U.S.
  • Forecast: Global Fixed-Line Broadband Homes
  • Forecast: Global Mobile Broadband - 4G/LTE Subscribers
  • Data Privacy and Security Ecosystem
  • Device Vulnerabilities and Remedies
  • Building Security in Maturity Model
  • Privacy Policy Word Count and Transparency & Choice Options
  • The New Technology Stack
  • Smart Home Big Data Levers, Concerns, and Cloud Services
  • Level of Privacy & Security Concern by Device Category
  • Privacy or Security Concerns for Smart Home Device Owners versus Non-owners
  • Leading Privacy and Security Concerns by Device Category
  • Effectiveness of Privacy Rights to Relieve Concerns
  • Incremental Impact of Privacy Rights on Concerns
  • Willingness to Share Data by Owners of Connected CE Devices
  • Willingness to Share Data by Owners of Fitness Health Devices
  • Willingness to Share Data by Owners of Smart Entry Devices
  • Willingness to Share Data for Benefits by Specified Age Groups
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