Data Quality Management

Classroom

12 sessions

11 - 15 January 2027 €1,925 + VAT Register

8 - 12 February 2027 €3,225 + VAT Register

8 - 12 March 2027 €2,830 + VAT Register

12 - 16 April 2027 €1,625 + VAT Register

10 - 14 May 2027 €1,978 + VAT Register

14 - 18 June 2027 €3,225 + VAT Register

12 - 16 July 2027 €2,815 + VAT Register

9 - 13 August 2027 €1,925 + VAT Register

13 - 17 September 2027 €3,225 + VAT Register

11 - 15 October 2027 €2,830 + VAT Register

8 - 12 November 2027 €4,315 + VAT Register

13 - 17 December 2027 €1,978 + VAT Register

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Online / Live

12 sessions

11 - 15 January 2027 €1,815 + VAT Register

8 - 12 February 2027 €1,815 + VAT Register

8 - 12 March 2027 €1,815 + VAT Register

12 - 16 April 2027 €1,815 + VAT Register

10 - 14 May 2027 €1,815 + VAT Register

14 - 18 June 2027 €1,815 + VAT Register

12 - 16 July 2027 €1,815 + VAT Register

9 - 13 August 2027 €1,815 + VAT Register

13 - 17 September 2027 €1,815 + VAT Register

11 - 15 October 2027 €1,815 + VAT Register

8 - 12 November 2027 €1,815 + VAT Register

13 - 17 December 2027 €1,815 + VAT Register

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Introduction

Course overview

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

This Aractech 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.

View full course outline

What you will achieve

Learning 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

Who should attend

Target audience

Data stewards and managers
Data analysts
BI and reporting teams
Data governance professionals
IT professionals
Business process owners

Methodology

Learning approach

Hands-on profiling
Rule design workshops
Case studies
Monitoring dashboard exercise
Planning

Course actions

Still have questions?

Contact the academy team for availability, in-house delivery, and participant guidance.

In-house Delivery Download Brief

What you receive

Aractech certificate of attendance, issued when you meet the course attendance requirements.
A unique certificate number that anyone can check on our Certificate Verification page.
Five days from 09:00 to 14:00: 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).

The certificate is issued by Aractech. It is not an academic qualification, a professional licence or a certificate awarded by an external professional body. Certificate conditions

Bilingual Delivery Available

The course is delivered primarily in English, including all training materials. Depending on the selected location, a bilingual trainer may also explain key concepts and support discussions in an additional language.

Available language support:

Spanish — Madrid and Barcelona
Turkish — Türkiye
French — France
German — Germany
Arabic — United Kingdom, Spain, France, Türkiye, Germany and the Netherlands

Note: Language availability is subject to trainer availability and must be requested during registration.

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Data Quality Concepts

09:00–09:45 Why data quality matters
09:45–10:30 Quality dimensions
10:30–11:00 Fitness for purpose
11:00–11:30 Coffee break
11:30–11:45 Fitness for purpose (continued)
11:45–12:30 Costs of poor quality
12:30–14:00 Exercise: Quality issues inventory

Day 2

Assessment

09:00–09:45 Profiling techniques
09:45–10:30 Measuring quality
10:30–11:00 Scorecards
11:00–11:30 Coffee break
11:30–11:45 Scorecards (continued)
11:45–12:30 Prioritisation
12:30–14:00 Lab: Data profiling

Day 3

Root Causes and Cleansing

09:00–09:39 Root cause analysis
09:39–10:18 Process fixes
10:18–10:57 Cleansing
10:57–11:00 Standardisation
11:00–11:30 Coffee break
11:30–12:05 Standardisation (continued)
12:05–12:43 Enrichment
12:43–14:00 Exercise: Cleansing plan

Day 4

Rules and Monitoring

09:00–09:45 Data quality rules
09:45–10:30 Automation
10:30–11:00 Dashboards
11:00–11:30 Coffee break
11:30–11:45 Dashboards (continued)
11:45–12:30 Issue management
12:30–14:00 Lab: Rule implementation

Day 5

Programme

09:00–09:54 Roles and governance
09:54–10:48 Culture
10:48–11:00 Metrics
11:00–11:30 Coffee break
11:30–12:12 Metrics (continued)
12:12–13:06 Roadmap
13:06–14:00 Capstone: Data quality programme

FAQ

Frequently asked questions

What does Data Quality Management (DMBI-024) cover?

This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 11 - 15 January 2027. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Data stewards and managers, Data analysts, BI and reporting teams

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Kuala lumpur, Munich, Amsterdam, Cape Town, Istanbul, Vienna, Barcelona, Geneva.

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).

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