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Data Monetization, Forecast 2018–2022
Powering Innovation Through Data Monetization
30-Jul-2019
Global
Megatrends
$4,950.00
Special Price $3,712.50 save 25 %
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.
Key Findings of the Study
Scope of Study
List of Definitions
List of Definitions (continued)
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
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—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 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 Regulations and Protection Laws
US Laws Governing Data Handling
Steps to Ensure Data Security—US/EU
How to Start?
Key Implementation Steps
Data Monetization Future Prospects—Automobile
Data Monetization Future Prospects—Healthcare
Legal Disclaimer
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
Purchase includes:
- Report download
- Growth Dialog™ with our experts
Growth Dialog™
A tailored session with you where we identify the:- Strategic Imperatives
- Growth Opportunities
- Best Practices
- Companies to Action
Impacting your company's future growth potential.
| Deliverable Type | Megatrends |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Chaitanya Habib |
| Industries | Cross Industries |
| WIP Number | K19A-01-00-00-00 |
| Is Prebook | No |
| GPS Codes | 9A3B,9B07-C1 |