表紙
市場調查報告書
商品編碼
906135

數據收益化預測

Data Monetization, Forecast 2018-2022

出版日期: | 出版商: Frost & Sullivan | 英文 98 Pages | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

越來越多企業為了推動未來數據經濟成長,開始建立數據主導的策略。雖然還在起步階段,但數據收益化對許多產業造成了巨大的影響。

本報告研究分析數據收益化,彙整概要、框架、案例研討等整體性情報。

摘要整理

數據收益化:將數據資產進行收益化的最佳範例

  • 調查範圍
  • 定義列表

數據收益化概要

  • 介紹
  • 數據收益化概要:數據收益化路徑
  • 數據收益化:提高數據生成水準
  • 數據收益化路徑:數據交易模型
  • 數據交易、其他

框架

  • 數據收益化框架
  • 流程優化:主要分類
  • 產品優化:主要分類
  • 預防風險與未來的證明:主要分類
  • 行銷解決方案:主要分類、其他

數據收益化範例分析

  • 數據收益化範例分析:主要檔案
  • 數據收益化範例分析:Acxiom概要
  • Acxiom:數據收益化模式
  • Acxiom:從收益化到數據產品的路徑
  • Acxiom:技術與合作夥伴
  • Acxiom:數據的消費者與價格模式、其他

價格根據與方法

  • 價格根據:2種方法
  • 價格根據:已知的範例價格
  • 價格根據:未知的範例價格
  • 價格模式範例
  • 服務提供、數據種類、價格表

數據隱私與保護

  • 數據規範與保護法規
  • 管理數據處理的美國法律
  • 確保數據安全的步驟:美國/EU

結論

附錄

目錄
Product Code: K19A

Powering Innovation Through Data Monetization

An increasing number of companies are starting to build data-driven strategies to fuel growth in the upcoming data economy. Though in its nascent stages, data monetization is having a huge effect on many industry verticals. Every company will, at some stage, transform into a data company through direct or indirect approaches. However, there is a lack of strategic direction and standardization in business processes among companies for building a successful data monetization model. The success of a data monetization strategy lies in extending the frontiers of digital innovation. This study aims to identify the potential routes for monetizing data assets that would help companies transform digitally and have a sustainable growth in the data economy. These routes are designed to provide a clear understanding of the business processes and the evolution of data across the value chain.

Data Bartering:

Data bartering model refers to a transaction where data sets are exchanged between two parties without any monetary assets being involved.

Data Brokering:

It is a process of collecting and aggregating data from various data sources, such as public records, scrapping online activity, and purchase history, or from third-party data providers, and selling it to data consumers.

Insights Bartering:

The insight bartering model refers to a transaction in which data insights are exchanged for business intelligence solutions between two parties.

Business Intelligence (BI):

In this model, companies build predictive insights through BI tools in order to develop actionable insights using historical and current data.

Along with the above monetization models, the study also identifies 7 actionable framework plays that are plugged into various case studies on high-performing data monetization companies. These framework plays are designed to get a 360 degree view on data use cases by ranking them in terms of providing potential growth opportunities and innovativeness. The foundation of a successful data monetization model is identifying the right strategy, design, and architecture for building a compliant and secure data ecosystem, and, most importantly, having the right pricing framework in place that aligns with the expected business outcome. The study provides insights on the key implications of data monetization on a company's operating models and business functions. Finally, the study also offers insights on growth opportunities in the space of data monetization along with a brief future prospect of how data monetization will evolve and disrupt traditional industries, such as automotive and healthcare, and what potential new opportunities will be created in the future by data monetization.

Table of Contents

Executive Summary

  • Key Findings of the Study

Data Monetization-Best Practices in Monetizing Data Assets

  • Scope of Study
  • List of Definitions
  • List of Definitions (continued)

Data Monetization Overview

  • Introduction
  • Data Monetization Overview-Routes to Data Monetization
  • Data Monetization-Increasing Levels of Data Generation
  • Routes to Data Monetization-Data Brokering Model
  • Data Brokering
  • Routes to Data Monetization-Data Bartering Model
  • Data Bartering
  • Routes to Data Monetization-Insights Bartering Model
  • Insights Bartering
  • Routes to Data Monetization-Business Intelligence Model
  • Business Intelligence

Framework Plays

  • Data Monetization Framework Plays
  • Process Optimization-Key Areas
  • Product Optimization-Key Areas
  • Risk Prevention and Future Proofing-Key Area
  • Marketing Solutions-Key Areas
  • Sales Optimization-Key Areas
  • Create New Market-Key Areas
  • Create New Customers-Key Areas

Data Monetization Case Studies

  • Data Monetization Case Studies-Main Profiles
  • Data Monetization Case Studies-Acxiom Overview
  • Acxiom-Data Monetization Model
  • Acxiom-Route to Monetization and Data Products
  • Acxiom-Technology and Partnerships
  • Acxiom-Data Consumers and Pricing Model
  • Quandl-Overview
  • Quandl-Route to Monetization and Data Products
  • Quandl-Technology and Partnerships
  • Quandl-Data Consumers and Pricing Model
  • John Deere-Overview
  • John Deere-Route to Monetization and Data Products
  • John Deere-Technology and Partnerships
  • John Deere-Data Consumers and Pricing Model
  • Uber-Overview
  • Uber-Data Monetization Model
  • Uber-Route to Monetization and Data Products
  • Uber-Technology and Partnerships
  • Uber-Data Consumers and Pricing Model
  • Amex Advance-Overview
  • Amex Advance-Route to Monetization and Data Products
  • Amex advance-Technology and Partnerships
  • Amex Advance-Data Consumers and Pricing Model
  • Nexar-Overview
  • Nexar-Route to Monetization and Data Product
  • Nexar-Technology and Partnerships
  • Nexar-Data Consumers and Pricing Model
  • TomTom-Overview
  • TomTom-Route to Monetization and Data Products
  • TomTom-Data Monetization Model
  • TomTom-Technology and Partnerships
  • TomTom-Data Consumers and Pricing Model
  • AGERO-Overview
  • AGERO-Route to Monetization and Data Products
  • AGERO-Technology and Partnerships
  • AGERO-Data Consumers and Pricing Model
  • Barclays-Overview
  • Barclays-Route to Monetization and Data Products
  • Barclays-Technology and Partnerships
  • Barclays-Data Consumers and Pricing Model

Pricing Rationale and Approaches

  • Pricing Rational-Two Approaches
  • Pricing Rational-Two Approaches (continued)
  • Pricing Rational-Known Use Case Pricing
  • Pricing Rational-Unknown Use Case Pricing
  • Examples of Pricing Models
  • Service Offerings, Data Types and Pricing Matrix

Data Privacy and Protection

  • Data Regulations and Protection Laws
  • US Laws Governing Data Handling
  • Steps to Ensure Data Security-US/EU

Conclusion

  • How to Start?
  • Key Implementation Steps
  • Data Monetization Future Prospects-Automobile
  • Data Monetization Future Prospects-Healthcare
  • Legal Disclaimer

Appendix

  • List of Acronyms and Abbreviations
  • Key Questions Addressed in the Study
  • Data Monetization Service Architecture-Delivery Models
  • Potential Use Cases for Your Industry
  • List of Exhibits