Effective Data Quality Management Frameworks for Data-Driven Decision Making

Topic 1: Introduction to Data Quality Management Framework 

• What is data quality?
• Overview of data quality management framework
• Impact of poor data quality
• Data quality dimensions
• Potential threats to data quality

Topic 2: Measuring Data Quality 

• Data quality rules
• Data quality processes
  • data profiling
  • data parsing
  • data standardization
  • identity resolution
  • data linkage
  • data cleansing
  • data enhancement
  • data inspection and monitoring
• Metrics for measuring data quality.
• Trade-offs in data dimensions

Topics 3: Design Strategies for Maximizing  Data Quality 

• Data quality roles
• Data quality improvement process
• Data quality techniques and tools
• Data quality governance
• Data quality best practices.
• Data quality maximization strategies.

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

• Data Quality Manager
• Data Governance Specialist
• Data Steward
• Master Data Manager
• Business Intelligence Analyst
• Data Analyst
• Data Architect
• Data Integrity Specialist
• Data Profiling Specialist
• Quality Assurance Specialist (Data)
• Enterprise Data Manager
• Database Administrator
• Data Strategy Consultant
• Information Systems Analyst
• Data Compliance Specialist
• Data Quality Engineer
• Data Cleansing Specialist
• Risk Management Analyst (Data Focus)
• Data Monitoring Specialist
• IT Project Manager (Data Quality)

Teh Siew Yee: Teh Siew Yee is a seasoned leader in data science and digital transformation, with over 20 years of experience driving organisational strategy, talent development, and the design of data ecosystems across Asia Pacific and global markets. He has successfully led cross-geographical teams and collaborated with industry leaders from the US, UK, China, India, Japan, South Korea, Australia, and beyond, focusing on leveraging data to achieve business objectives and optimize operations.

With expertise spanning predictive modeling, machine learning, deep learning, and IoT, he has hands-on experience in data architecture, engineering, and analytics. He has also developed comprehensive training programs, equipping all levels of an organisation— from C-suite to working-level employees— with the skills needed for digital transformation. His industry experience covers sectors such as tech, education, finance, aerospace, and eCommerce, making him a sought-after expert in data-driven business strategy.

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.