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Effective Data Quality Management Frameworks for Data-Driven Decision Making

Course Information

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

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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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
  • HRDF

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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

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

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

Course Fee

MYR1,050.00

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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