Data Monetization Strategies to Unlock the Full Value of Your Data

Course Information
Due to technology and data explosion, many companies today generate and collect vast quantities of data however, very few companies have the ability and knowledge to convert these valuable data and “monetize” as a strategic asset. Forward-looking companies and professionals with the capability to leverage on Data Analytics to help companies Monetized their Data are in high demand.
Although data monetization is at an early stage of adoption. Companies are already thinking more critically than others about monetizing their data, as well as using data in a greater number of ways to create value for customers and the business. They are adding new services to existing offerings, developing new business models, and even directly selling data-based products or utilities.
What is Data Monetization?
Data monetization is the process through which organizations create financial value from data and data-driven process improvements. Every business today generates potentially valuable data and content - it is no longer the exclusive domain of media companies and information providers. With modern enterprise technology getting smarter, faster, and cheaper, both incumbents and entrants are responding to new opportunities.
Want to start your data monetization journey?
Join us in this 1-day Data Monetization course will allow you to explore the realms of Data and understand its value of it through business opportunities. This program explores how organizations can create financial value from data, and the importance of actively pursuing data monetization.

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