course | Strategies for Data Monetization
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DIGTR-1508 | Strategies for Data Monetization
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-06-16 | 2025-06-20 | Geneva | $5,950 | Book now |
| 5 Days | 2025-09-29 | 2025-10-03 | Dubai | $4,250 | Book now |
| 5 Days | 2025-12-15 | 2025-12-19 | Abu Dhabi | $4,250 | Book now |
Course Introduction
In today's data-driven world, organizations must leverage data as a strategic asset to unlock new revenue streams and drive business growth. This 5-day training course provides participants with a comprehensive understanding of data monetization strategies, covering direct and indirect monetization models, data valuation techniques, privacy regulations, and real-world applications. By the end of the course, participants will be equipped to develop and implement profitable data-driven business models.
Course objective
- Understand key data monetization models and revenue-generating opportunities.
- Assess the value of data assets and build a business case for monetization.
- Explore direct (selling data, licensing) and indirect (enhancing services, AI-driven insights) monetization strategies.
- Navigate data privacy laws (GDPR, CCPA) and ethical considerations.
- Develop data-driven products, partnerships, and platforms.
- Apply advanced analytics, AI, and machine learning to monetize data.
- Implement best practices for data governance and security.
Course Outline | Day 01
Foundations of Data Monetization
- Understanding data as a strategic asset
- Types of data monetization (direct vs. indirect)
- Data-driven business models and real-world case studies
Course Outline | Day 02
Data Valuation & Business Strategy
- Methods to assess and price data assets
- Developing a data monetization strategy aligned with business goals
- Identifying high-value data sets and potential customers
Course Outline | Day 03
Legal, Privacy & Ethical Considerations
- Overview of data privacy regulations (GDPR, CCPA, etc.)
- Ethical challenges in data sharing and monetization
- Managing data security, compliance, and risk
Course Outline | Day 04
Technology & Analytics for Monetization
- Leveraging big data, AI, and machine learning for monetization
- APIs, data marketplaces, and data-sharing platforms
- Data-driven product development and personalization strategies
Course Outline | Day 05
Implementation & Future Trends
- Building data partnerships and collaborations
- Monetizing IoT, cloud, and edge computing data
- Future trends: blockchain, federated learning, and AI-powered data monetization
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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