DQDD0525: DMBOK and CDMP Specialist Deep Dive: Data Quality

The DMBOK and CDMP Specialist Deep Dive: Data Quality two-day live online training focuses on the most essential aspects of data quality management and provides practical takeaways that will enable you to start a data quality initiative or program in your organization. The course draws upon real-world knowledge from successful data quality implementations and the lessons learned from them. Taught by instructor Christopher Bradley (a CDMP Fellow), this course offers a solid foundation in the topic of data quality management, while also doing a deep dive into the activities, principles, and processes involved in developing an effective data quality function. It also helps prepare attendees to take the Certified Data Management Professional (CDMP) Data Quality Specialist exam, which is necessary to attain the Practitioner and Master levels.

Information and data are at the center of all organizations. However, all too often information is poorly managed and lacks the rigor and discipline that it demands. The implications of poorly managed information can be catastrophic, from ICO and other regulatory sanctions, to ineffective reporting, and ultimately to business collapse. This course provides the rationale for why data quality management is critical and gives methods and practices for addressing key information management challenges within a data quality perspective.  

The DMBOK and CDMP Specialist Deep Dive: Data Quality two-day live online training focuses on the most essential aspects of data quality management and provides practical takeaways that will enable you to start a data quality initiative or program in your organization. The course draws upon real-world knowledge from successful data quality implementations and the lessons learned from them. Taught by instructor Christopher Bradley (a CDMP Fellow), this course offers a solid foundation in the topic of data quality management, while also doing a deep dive into the activities, principles, and processes involved in developing an effective data quality function. It also helps prepare attendees to take the Certified Data Management Professional (CDMP) Data Quality Specialist exam, which is necessary to attain the Practitioner and Master levels. 

The training presents methods and practices for addressing key data quality challenges and equipping organizations to better deal with huge volumes of data in today’s business ecosystem. It is grounded in the industry standard, the DAMA International Data Management Body of Knowledge (DMBOK). 

The training also prepares attendees to take the Certified Data Management Professional (CDMP) Data Quality Specialist exam that is necessary for the attainment of the Practitioner and Master levels. 

This course addresses both the DMBOK Version 2.0 and DMBOK Revised Edition. 

The DAMA International-endorsed live online training was developed with DAMA International, DATAVERSITY, and Christopher Bradley, the VP of Professional Development at DAMA. 

CDMP Specialist Exam Preparation Information: 

  • Understand in-depth the information required for the CDMP Data Quality Specialist exam 
  • Throughout the course, practice by taking sample questions in each section 

Two-Day Seminar Price: 

  • $1,000 Early Bird Price through May 9, 2025 
  • $1,200 after May 9, 2025  

Last day to register: Monday, May 19, 2025

Seminar CEUs: 9  
Seminar Date: Wednesday - Thursday, May 21 - 22, 2025 
Seminar Time: 8 AM – 1 PM, Pacific Time / 11 AM – 4 PM, Eastern Time 

Over two days you will: 

  • Discuss categories of data quality issues from real-world case studies and their root causes 
  • Explore the drivers for data quality and how to link Data Quality to business priorities 
  • Understand the difference between “data quality” and “data quality management” and why it matters 
  • Learn about the relationship between data quality management and other core Information Management disciplines – particularly master data management, data modeling, and data governance 
  • Discuss the necessary steps for making this happen through a practical framework 
  • Explore who is involved in making data quality initiatives work 
  • Understand the major concepts that are fundamental to data quality management, such as a framework for information quality, information lifecycle, data quality dimensions, business impact techniques, root cause analysis techniques, and more 
  • Discuss where software tools and automation can play a part in a data quality initiative, and the key functional capabilities expected of data quality toolsets  

Who Should Attend? 

This two-day live, online seminar is intended for business and IT professionals at all levels who have been charged with investigating or implementing data quality in their organizations, and who seek to gain an in-depth understanding of where data quality exists within the different disciplines of data and information management. It also was developed as a preparation course for people wishing to take the CDMP Data Quality Specialist exam. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data modelers, BI and data warehouse developers, data and business analysts, DBAs, technical staff, and anyone else interested and involved in data. The course is not designed for any specific business domain, and as such is applicable to any business function which is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more. 

Group and team attendance is strongly encouraged because the workshop activities can be applied for your organization’s unique quality circumstances. Those activities produce results that have immediate application and lasting value for your ongoing quality and certification efforts.  

Seminar Format 

  • A two-day workshop that includes lecture format over slides with group discussions, multiple Q&A topics, resources, and more. 
    • The seminar date is: Wednesday - Thursday, May 21 - 22, 2025
    • Seminar time is: 8 AM – 1 PM, Pacific Time / 11 AM – 4 PM, Eastern Time 
  • All seminar material will be made available for students to download. 
  • DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom. 
  • The DVTC Platform is where you will start your training: https://training.dataversity.net 
    • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard. 
    • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete. 
  • When you click the “Join Now” button in the DVTC Platform, a Zoom window will open. 
    • This platform is where you will take the training, view the presentation, and engage in breakout sessions. 

 

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