Data Quality Management: Tools and Techniques
3 days|Delivered on request
This is a hands-on programme. Delegates spend most of the time working through data governance and visual encoding choices on live scenarios rather than listening to theory about them. The practical emphasis is deliberate: reporting effort scales badly when the underlying model is wrong, and reading about the method has repeatedly proved insufficient. Delegates leave able to work confidently with forecasting techniques, DAX and calculated measures and dashboard design in their own organisation.
What delegates leave able to do
- Explain forecasting techniques to someone who does not do the work, measured against recognised data governance frameworks
- Take ownership of DAX and calculated measures rather than escalating it
- Bring dashboard design into line with current good practice
- Review data quality management and say plainly whether it is working
What the course covers
- Data governance
- Visual encoding choices
- Forecasting techniques
- DAX and calculated measures
- Dashboard design
- Data quality management
- Self service analytics
Who should attend
- professionals moving into analytics
- business analysts
- management information officers
