About The Event

Introduction 
Introduce data analysis techniques where participants will learn to make informed decisions, identify root causes, predict future trends, and prescribe optimal solutions for continuous improvement through hands-on exercises with real-life data and case studies.

Key Takeaways
1. Understand the Data Analytics Paradigm.
2. Describe or summarize data to better understand what is going on or what has happened using Descriptive Analytics.
3. Determine the root causes and reasons behind specific events or outcomes using Diagnostic Analytics.
4. Predict the possible outcome using statistical models and machine learning techniques (Predictive Analytics).
5. Optimize business outcomes with specific and actionable recommendations for these predictions using Prescriptive Analytics.
6. Apply Real-Time Statistical Process Control (SPC) to improve productivity, quality and efficiency.

Target Audience
Professionals from Quality Assurance/Quality Control, Process Improvement, Production, Product Development, Continuous Improvement, Operational Excellence.

Speakers' Profile
Soo Ooi - Partner Account Manager, Minitab
Soo manages the Southeast Asia business for Minitab. Soo has over 10 years of experience in partner management within the software industry. Soo is a trusted customer advisor who delivers business values and is commited to building and nurturing strategic partnerships.

Lily Chye - Technical Training,  Bizit Systems (M) Sdn Bhd
Lily has been a Minitab trainer for more than 10 years in Bizit Systems. She has conducted more than 2500 hours of Minitab trainings which attended by more than 3000 participants in overall. She had attended several Minitab certified training programs conducted by master trainers from Minitab USA and Australia and she has been certified as a dynamic worldwide recognized Minitab Trainer since 2011. She trains engineers, project leaders and technicians to use data effectively when analyzing processes. She also assists companies from various industries as well as academic institutions. She earned Bachelor of Science Degree in Industrial Mathematics and Master degree in Science (Mathematics) from the Universiti Teknologi Malaysia, and Certified Six Sigma Green Belt from Singapore Quality Institute.

 Noor Sulawati - Technical Support Specialist, Bizit Systems (M) Sdn Bhd
Sulawati has more than 6 years’ experience in providing statistical consultancy to businesses and academic through the effective use of statistical tools and techniques. She earned a bachelor’s degree in Statistics and Master of Science in Quality and Productivity Improvement. Sulawati has assisted many professionals to recognize the usage of statistical knowledge and tools they need to solve the real-world problems in achieving process excellence and quality improvement.