In partnership with
This event is in partnership with Technology Ireland Digital Skillnet and therefore attendees are required to submit additional information on booking for general statistical purposes. See the privacy statement here.
Data Quality: The Foundation of Analytics, AI and Better Decision Making
Every dashboard, forecast and AI tool is only as reliable as the data behind it. Yet poor data quality often goes unnoticed until it has already led to a flawed report, a misjudged decision or an AI output that cannot be trusted. This masterclass explains why data quality matters and what can be done about it in practical terms.
This masterclass will guide you through realistic business examples, showing you how to recognise common quality problems, understand the dimensions used to assess data, and apply simple checks and habits that prevent issues from reaching reports and models.
Learning Outcomes
By the end of the session, participants will be able to:
- Explain what data quality means and why it underpins reliable analytics, AI and decision making.
- Identify common data quality issues, such as duplicates, missing values, inconsistent formats and outdated records.
- Describe the key dimensions of data quality, including accuracy, completeness, consistency, timeliness, validity and uniqueness.
- Recognise how poor quality data affects reports, forecasts and AI outputs, and the business impact that can follow.
- Apply practical checks and good habits to assess and improve the quality of the data they use or create.
Target Audience
This masterclass is designed for anyone who creates, manages, relies on or makes decisions using data as part of their role.
No technical or data expertise is required.
