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Professional training course · DMBI-024

Data Quality Management

Poor data quality undermines analytics, reporting, AI and operations. Organisations need systematic approaches to measure, improve and sustain data quality. This LLMI…

  • 5 daysClassroom
  • 12Upcoming dates
  • 8Cities
  • £2,250Fees from

Course overview

Why 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

Course outline

  1. 1Day 1: Data Quality Concepts
    • Why data quality matters
    • Quality dimensions
    • Fitness for purpose
    • Costs of poor quality
    • Exercise: Quality issues inventory
  2. 2Day 2: Assessment
    • Profiling techniques
    • Measuring quality
    • Scorecards
    • Prioritisation
    • Lab: Data profiling
  3. 3Day 3: Root Causes and Cleansing
    • Root cause analysis
    • Process fixes
    • Cleansing
    • Standardisation
    • Enrichment
    • Exercise: Cleansing plan
  4. 4Day 4: Rules and Monitoring
    • Data quality rules
    • Automation
    • Dashboards
    • Issue management
    • Lab: Rule implementation
  5. 5Day 5: Programme
    • Roles and governance
    • Culture
    • Metrics
    • Roadmap
    • Capstone: Data quality programme

Dates and fees

11JAN 11 - 15 Jan 20275 days Kuala LumpurMalaysia £2,250+ VAT Register
8FEB 8 - 12 Feb 20275 days MunichGermany £4,250+ VAT Register
8MAR 8 - 12 Mar 20275 days AmsterdamNetherlands £4,250+ VAT Register
12APR 12 - 16 Apr 20275 days Cape TownSouth Africa £2,840+ VAT Register
10MAY 10 - 14 May 20275 days IstanbulTurkey £2,850+ VAT Register
14JUN 14 - 18 Jun 20275 days ViennaAustria £4,250+ VAT Register
12JUL 12 - 16 Jul 20275 days BarcelonaSpain £3,850+ VAT Register
9AUG 9 - 13 Aug 20275 days Kuala LumpurMalaysia £2,250+ VAT Register
13SEP 13 - 17 Sep 20275 days MunichGermany £4,250+ VAT Register
11OCT 11 - 15 Oct 20275 days AmsterdamNetherlands £4,250+ VAT Register
8NOV 8 - 12 Nov 20275 days GenevaSwitzerland £5,250+ VAT Register
13DEC 13 - 17 Dec 20275 days IstanbulTurkey £2,850+ VAT Register

Questions

Frequently asked questions

How long is the Data Quality Management course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Data Quality Management course?

The next public date is 11 - 15 Jan 2027 in Kuala Lumpur. There are 12 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Kuala Lumpur, Munich, Amsterdam, Cape Town, Istanbul, Vienna, Barcelona, Geneva.

How much does the course cost?

Fees start from £2,250 + VAT per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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Training a team?

Any course in our catalogue can be delivered privately for your organisation, at your offices or in one of our cities, with content shaped around your goals.