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Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Effective Data Quality Management Frameworks for Data-Driven Decision Making

Course Code: C963

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What's This Course About

Master the core principles and techniques of Data Quality Management in this comprehensive course. This program introduces key concepts like data quality dimensions, potential threats to data integrity, and the impact of poor data quality on business decision-making. Learn to develop a robust Data Quality Management framework that ensures data reliability, accuracy, and consistency. Participants will explore essential concepts such as data quality rules, profiling, parsing, and cleansing, as well as methods for data inspection, monitoring, and enhancement.

The course also emphasizes best practices and strategies for maximizing data quality. Learners will gain hands-on experience in data governance, role assignment, and the use of advanced tools and techniques for improving data accuracy and integrity. By mastering these design strategies, participants will be equipped to implement effective quality management systems in their organizations, fostering better data-driven decision-making and ensuring operational excellence

Funding Options

For WSQ funding, please checkout the details at WSQ - Data Quality Management Framework

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

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.

Course Info

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

Job Roles

Job Roles

  • 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)

Trainers

Trainers

Teh Siew Yee is an experienced adult educator and corporate trainer specializing in business communication, workplace effectiveness, and professional development. With years of experience across both corporate and training environments, she has helped learners enhance their skills in problem-solving, collaboration, and interpersonal communication. Her ability to translate complex concepts into clear, practical strategies ensures that participants can immediately apply their learning in the workplace. As an ACLP-certified trainer, Siew Yee delivers WSQ courses with a strong focus on learner engagement and workplace application. She integrates case studies, role-plays, and reflective exercises into her sessions, ensuring participants develop not only knowledge but also confidence in real-world contexts. By combining her corporate experience with adult education expertise, she empowers learners to improve workplace efficiency, strengthen teamwork, and achieve personal and organizational success.
Solomon Soh is an experienced Data Scientist and AI Trainer with a strong record of teaching and mentoring in Python programming, data analytics, and machine learning. Currently a Data Science Trainer with IBM Singapore, he has coached teams on projects involving natural language processing, computer vision, and chatbots, achieving a 96% learner satisfaction rating for his communication and technical expertise. His career spans roles at Workforce Optimizer, Certis Cisco, Ernst & Young, and IQVIA, where he applied Python-driven analytics to improve operations, optimize staffing, and deliver actionable insights. His academic background includes a double degree in Economics and Psychology from Singapore Management University (Summa Cum Laude, triple major in Analytics), an MBA, and a Master’s in Financial Engineering.
Yap Swee Leong is an ACLP-certified trainer with experience in adult education and IT-focused training. He has delivered courses across digital systems, IT fundamentals, and business technology, equipping learners with the skills to adapt to digital workplaces. With his strong foundation in instructional design and applied learning, he makes technical concepts accessible to diverse groups of learners. In his network security training, Yap focuses on building beginner-level understanding of key security principles, including password policies, secure browsing, and basic risk management. His sessions are designed to provide non-technical learners with confidence in recognizing and addressing everyday cybersecurity threats. By using practical, relatable examples, he ensures participants develop essential habits for safeguarding personal and organizational data.

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