An Introduction to Data Management
This training module gives a high-level look at data quality and data management, what it consists of, and how this links to the following pillars of training.
An introduction of what the typical areas of data management are and the people who are involved in data quality and data management are given. The following topics are covered; Data Governance, Data Understanding, Data Quality, Assessment and Control, Data Quality Improvement and Maintenance, Data Architecture and IT.
Learn what data management typically consists of. Learn what Data Governance is. Learn what Data Understanding is. Learn what Data Quality Assessment and Control is. Learn what Data Quality Improvement and Maintenance is. Learn what Data Architecture and IT is.
Who is Suitable?
No prior knowledge is required so all current or future data practitioners can undertake the course. As this is a foundations of data management module, the content is especially useful poeple who are looking for a steady paced introduction to data management. The module is also very useful for managment, who need to know the fundamental information and theories in order to understand data specialists work but do not need the garanularity provided in specialised modules..
- How many Critical Data Elements should an organisation have?
- Can you explain operational and reputational risk?
- How does a firm demonstrate it manages data effectively?
- What does the DBA do?
- What is data lineage?
- What is data profiling?
- What is meant by “the rise of the chief data officer”?
- Could you explain Root Cause Analysis?
- What is the data life cycle?
- What is Data Architecture?
An Interactive Presentation
10+ Interactive Questions
3 Final Practice Tests – 30 questions over 30 minutes
Final Examination – 60 questions over 30 minutes