Data Leader Series: Power of Data Management

In the midst of a rapidly evolving digital landscape, this comprehensive course provides a deep dive into the essence of digital transformation in the era of Industry 4.0. Exploring the multifaceted role of big data, the course delves into the intricacies of Business Performance Management (BPM) and its critical function in shaping business strategies through effective management processes. Participants will gain insight into setting goals, measuring success through KPIs, and utilizing scorecards and dashboards for a holistic view of organizational performance.

Diving deeper, the course offers a practical understanding of the latest digital technologies, revealing how predictive analytics, blockchain, chatbots, computer vision, and augmented reality are revolutionizing customer interactions, compliance, quality control, and planning.

The curriculum culminates with an extensive module on Business Process Re-engineering (BPR), providing tools and methodologies such as DMAIC and PDCA cycles for process improvement. Change management principles, including ADKAR, are discussed to prepare participants for the human aspect of transformation. This course is a roadmap for professionals looking to navigate and lead through the complexities of digital transformation.

Upon completion of this course, learners will be able to: 

1. Participants will grasp the impact of big data on digital transformation and learn the fundamentals of Business Performance Management.
2. Learners will gain proficiency in utilizing BPM tools, including scorecards and dashboards, to conduct gap analysis and root cause analysis effectively.
3. Attendees will understand how to apply contemporary digital technologies like ML, blockchain, and AR to enhance business processes and customer experiences.
4. The course will provide a practical approach to BPR, equipping participants with methodologies for process improvement and comprehensive change management.

1. Business analysts seeking to optimize processes through digital transformation strategies.
2. Executives and managers looking to implement BPM and re-engineer business processes.
3. IT professionals interested in applying digital technologies to improve business operations.
4. Quality control specialists aiming to leverage ML and computer vision for inspections.
5. Change managers and consultants facilitating digital transitions within organizations.

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.