Manage Your Data Quality – A Practical Data Quality Course for Real World Data Challenges

Data is the lifeblood of modern organisations, yet poor data quality continues to undermine decision‑making, operational efficiency and regulatory confidence. Our data quality course is designed for organisations struggling with inconsistent, unreliable or poorly governed data that forces teams to spend excessive time reconciling spreadsheets, correcting errors or questioning whether their data can be trusted.

Delivered in partnership with industry experts DPA (Data & Process Advantage), this course helps organizations move beyond reactive fixes and towards structured, sustainable approaches to data quality management and data governance. Participants gain practical insight into why data is difficult to manage, how poor data quality impacts cost, compliance and project delivery, and how recognised standards such as ISO 8000‑61 and ISO 8000 Part 150 can be applied pragmatically in real organisational environments.

This course is designed for professionals responsible for creating, managing, analysing or relying on organisational data, particularly where data quality issues are affecting efficiency, confidence, compliance or decision‑making.

Typical participant roles include:

  • Data Managers
  • Data Stewards
  • Business Analysts
  • Data Architects
  • Asset or Information Managers
  • Digital transformation and improvement leads
  • Anyone responsible for improving data quality across the organisation
Data quality course

Course content: Data quality management in practice

Our data quality management course combines structured learning with practical examples, group discussion and real‑world case studies to embed understanding and support action.

Participants will explore:

  • Why enterprise data is difficult to manage: Understanding common data quality issues, fragmented data landscapes and why problems persist.
  • Managing data as an enterprise asset: Exploring the benefits of effective data quality management and how it improves efficiency, insight and organisational performance.
  • ISO‑aligned data quality management approaches: Applying ISO 8000‑61 and the principles of ISO 8000 Part 150 as a practical data quality management system, rather than a purely theoretical framework.
  • The Data Zoo concept: Using DPA’s unique Data Zoo model to explore behaviours, attitudes and cultural factors that influence data quality.
  • Practical tools for data governance: Developing pragmatic, scalable approaches to data governance that can evolve as organisational capability and maturity improve.

Strengthening data governance and data quality capability

This course enables delegates to develop pragmatic, effective and sustainable approaches to managing data quality, supported by recognised standards and proven techniques.

Recognise the true impact of poor data quality on cost, risk, compliance and customer confidence.

Use ISO 8000‑61 to design and implement a fit‑for‑purpose data quality management system.

Establish consistent, organization‑wide ownership and accountability for data quality.

Promote constructive discussion of current data challenges and align stakeholders around practical solutions.

Understand how behaviours and attitudes affect data quality – and how to influence change.

Build data quality and data governance practices that grow with organizational maturity.

Ready to improve confidence in your data and reduce the cost of poor data quality?

Join our data quality management course, and equip your teams with the standards, tools and practical insight needed to manage data quality and governance effectively – all in just one day.

Delivery
format

Classroom

1 day course
Up to 12 participants
Our Birmingham Office
Handouts, material & group exercises
Real-word case studies

Bespoke Training

1 day course
Tailored to your requirements
Delivered in-house
Handouts, material & group exercises

ISO 8000-61

…Build a robust data quality management system – and embed sustainable governance across your organization.

Delivered in partnership with DPA (Data & Process Advantage).

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