Data Quality Awareness

Every AI initiative, every business decision, and every downstream process is only as reliable as the data behind it, yet data quality is too often treated as someone else's problem. This short course makes the case, clearly and practically, that data quality is everyone's responsibility. Delegates will come away understanding why trustworthy data matters more than ever in an AI-driven world, and,  more importantly, what they personally can do, whether producing or consuming data, to catch issues at the source and build a genuine culture of data quality awareness across the organisation.

By instilling (or re-enforcing) Data Quality Awareness amongst staff, re-work and root causes of poor-quality data can be addressed at source, resulting in benefits for all downstream business processes that rely on that data.

This seminar will explain why Data Quality is important and how it is achieved. By clearly illustrating the role of data quality in an organisation’s success, the seminar will help create a culture of Data-Quality mindfulness amongst all staff.

• Terms relating to Data Quality
• How do we know when we have quality data?
• The Effects & Risks of poor Data Quality
• The Benefits of good Data Quality
• How trustworthy data is critical to support AI
• The Data Quality Improvement Lifecycle
• Roles and responsibilities involved
• What Data Producers and Data Consumers can do to improve Data Quality.

After attending this seminar, delegates will understand:

• The importance of creating, improving, and managing the quality of information they use daily
• Key Data Quality Concepts, Principles and Terminology
• How to positively influence the quality of the data.

* A certificate of attendance will be provided on completion of the course