Data Leader Series: Data Monetization

Our immersive course on Digital Transformation with an emphasis on Data Monetization paves the way for professionals to grasp the pulse of Industry 4.0. We explore the fabric of digital innovation, where data doesn't just support decision-making but becomes a core business asset.

The course introduces participants to Monetization, teaching them to appraise data through the lens of Infonomics, a discipline that assigns economic significance to information. Through a robust curriculum, learners will dissect various Data Monetization Frameworks and navigate the evolution from raw data to a monetizable commodity. 

The program deep dives into Business Models specific to data monetization, discussing the intrinsic value of data to companies and laying out the direct and indirect methods and levels of monetizing data while acknowledging the challenges posed. As data becomes increasingly pivotal, we present the Requirements for Data Monetization—articulating the intersection of business offerings with strategic utilization of big data, AI, and cloud computing. 

The final module, How to Get Started, is a practical guide to reviewing data assets, identifying opportunities for value creation, and implementing Data-as-a-Service (DaaS). Participants will leave with a roadmap to scale their data monetization strategies and transform these insights into success. This course is a treasure trove for those eager to navigate the monetization maze, ensuring their companies don't just survive but thrive in the data economy.

Upon course completion,

1. Participants will understand data monetization within the context of digital transformation and identify practical frameworks for implementation.
2. Learners will examine various business models, understanding key considerations and methods for both direct and indirect data monetization strategies.
3. Students will gain insights into building a data monetization strategy, incorporating big data, AI, and cloud computing to optimize value.
4. Attendees will devise a practical roadmap for assessing data assets, identifying monetization opportunities, and scaling data strategies.

1. Business leaders exploring innovative revenue streams through data monetization in a digitally-transforming ecosystem.
2. Data scientists and analysts interested in the economic aspects of data, including valuation and monetization methods.
3. Strategy consultants seeking to guide organizations in strategic use of data, AI, and cloud resources for revenue generation.
4. Product managers and developers looking to create or enhance Data-as-a-Service offerings within their business models.
5. IT and data management professionals aiming to align data monetization with business strategies for competitive advantage

Dwight graduated with a degree in Biotechnology (from NUS in 2001), Advanced diploma in Pharmaceutical management (from MDIS in 2007) and Masters in Education (from NTU in 2013). In 2014, Dwight ventured into Data Analytics and Database Management and picked up Statistics/Machine Learning, Big Data analytics, text mining & social media analytics and web applications. His other expertise includes data science programming languages such as R and Python. He is also deeply passionate in deep learning using sequential models and sequence to sequence models using Keras and h2oAI machine & deep learning platforms and libraries. He is also a Senior Data Analyst, where he performs data analytics and create predictive models using healthcare data.