Exploring the Data Management Body of Knowledge (DMBoK) for Data Citizens
This webinar explores advancements in data management and governance, highlighting DMBoK Version 3, global collaboration, open science, and the pivotal roles of AI and information governance in enhancing practices.
Integrating DMBOK®2 & DCAM for Enhanced Data Management in AI for Data Professionals
This webinar explores data governance's intersection with AI, emphasizing interoperability, stakeholder engagement, data modeling challenges, maturity assessments, and evolving strategies for effective digital age data management.
A Winning Learning Approach
Passive learning is challenging! This challenge is true for both the learner and the facilitator. Have you tried Active learning? This article provides more detail of the benefits of Active learning verse passive learning. Read more to learn about a Winning Learning Formula that drives End User Adoption.
Why bother with Data Management Maturity Assessments?
Over the last five years, several organisations have reached out to me to assess the maturity of their Data Office. Each time I perform an assessment, I am curious as to what led to the request and the response to the results. In general, the results have been lower than I thought.
Data Quality Framework & Methodologies – Data Citizen
This webinar explores managing data quality through governance, strategy, and implementation. Howard Diesel emphasizes assessments, documentation, and the role of data quality in fostering a culture of accuracy and business value.
Data Quality Frameworks & Methodologies for Data Managers
This webinar offers a comprehensive Data Quality Framework, highlighting planning, assessment, and continuous improvement methodologies while addressing challenges in distributed systems and emphasising quality management in Saudi Arabian healthcare.
Captain your Data Career
Choosing the right career path is vital for personal growth, especially in healthcare. Effective data management, mentorship, and understanding roles enhance success and help avoid regrets in decision-making.
Data Career Strategy Development
This overview outlines the Data Career Strategy, emphasizing the importance of understanding thinking styles, leveraging CliftonStrengths, prioritizing decision-making, and the role of mentorship in professional development.