Introduction and Purpose
No matter the size or type of your organisation, the quality of your data assets affects your ability to make good business decisions, create better products, and innovate. Strategic use of data and Digital Transformation are built on the fundamentals of good quality data. However, less than 3% of organisations have data that is “fit for purpose” and problems of poor data quality plague organisations. Improving the quality of organisational data will reduce risks of costs incurred due to of poor quality data, improve efficiency and productivity, and enable you to unlock the value of your organisation’s data.
This half-day seminar is designed by Castlebridge, Ireland’s foremost expert on Information Quality, aligned to the syllabus of the DAMA CDMP Data Quality subject exam. It provides an overview of key concepts and tools in Data Quality Management to support delegates in developing effective data quality management for the data assets in the organisation. It introduces a practical and flexible framework to identify data quality issues and improve the value of data in your organisation.
Delegates will understand:
- Dimensions of Data Quality
- The Data Quality improvement life cycle
- Standards and requirements for “fit for purpose” data
- Key contributing factors for Data Quality Issues
- Tools for root cause analysis and issue mitigation
- The “Five o’clock on a Friday” metric
- A scalable framework for Data Quality improvement.
Training will be delivered through a ½ day interactive online instructor-led seminar. Delegates will receive a certificate evidencing their attendance and the content covered for their own Continuous Professional Development records.
Book directly through our e-Learning platform HERE.