llmi.ukWhy Attend
Poor data quality undermines analytics, reporting, AI and operations. Organisations need systematic approaches to measure, improve and sustain data quality.
This LLMI course covers data quality dimensions, profiling and assessment, root cause analysis, cleansing and enrichment, data quality rules and monitoring, roles and governance, and building a data quality programme. Participants assess and improve a sample dataset.
Course Objectives
Define data quality dimensions and requirements
Profile and assess data quality
Identify root causes of poor data
Cleanse and enrich data
Implement data quality rules and monitoring
Build a sustainable data quality programme
Target Audience
Data stewards and managers
Data analysts
BI and reporting teams
Data governance professionals
IT professionals
Business process owners
Course Methodology
Hands-on profiling
Rule design workshops
Case studies
Monitoring dashboard exercise
Planning
| Dates | City | Fee |
|---|---|---|
| 11 - 15 Jan 2027 | Kuala Lumpur, Malaysia | £2,250 |
| 8 - 12 Feb 2027 | Munich, Germany | £4,250 |
| 8 - 12 Mar 2027 | Amsterdam, Netherlands | £4,250 |
| 12 - 16 Apr 2027 | Cape Town, South Africa | £2,840 |
| 10 - 14 May 2027 | Istanbul, Turkey | £2,850 |
| 14 - 18 Jun 2027 | Vienna, Austria | £4,250 |
| 12 - 16 Jul 2027 | Barcelona, Spain | £3,850 |
| 9 - 13 Aug 2027 | Kuala Lumpur, Malaysia | £2,250 |
| 13 - 17 Sep 2027 | Munich, Germany | £4,250 |
| 11 - 15 Oct 2027 | Amsterdam, Netherlands | £4,250 |
| 8 - 12 Nov 2027 | Geneva, Switzerland | £5,250 |
| 13 - 17 Dec 2027 | Istanbul, Turkey | £2,850 |