Overview
Data is fundamental to effective, evidence-based decision-making. It underpins everything from major policy decisions to routine operational process.
Learn practical tools and techniques to assess, communicate and improve data quality at our Data Quality: From Collection to Disposal course.
Learn the importance of good data quality across the data lifecycle from data creation and collection through to disposal. By using The Government Data Quality Framework, you can demonstrate that your data is fit for purpose throughout the entire data lifecycle.
Leave the day with the full confidence in your data and ensure your organisation reaps the many benefits of higher data quality.
Unlocking the Power of Virtual
Our virtual courses have been designed with you in mind. From group exercises in breakout rooms to live chat, whiteboards, and interactive polls, we use a range of tools and techniques to ensure that you can connect with your trainer; network and share best practice with your peers and leave the day with the skills you need.
Our courses provide you with an interactive and engaging learning environment that can be accessed from any location, helping you to continue to connect, learn and grow. Click here to discover more!
Please note we will use Zoom to virtually deliver this course.
Nigel has worked in data management for over 25 years. This experience has embraced Data Quality, Data Governance, Information Strategy, Master Data Management, & Business Intelligence. He is currently Principal Information Management Consultant, EMEA for Global Data Strategy Ltd, an international data consultancy where he delivers consulting and training to variety of organisations in government, retail, manufacturing, education, insurance, non-profit and others.
Nigel spent much of his early career in British Telecommunications Group (BT) where he led a series of enterprise wide data quality & data governance initiatives which brought large benefits to BT. He also created and ...
Learning Outcomes
- Understand what ‘fit for purpose’ data is and is not
- Identify the main causes of poor data quality and its impact on individuals and organisations
- Be able to apply a simple five stage approach to assure and improve data quality throughout the data lifecycle
- Describe the main dimensions of data quality and how they apply across the data lifecycle
- Be aware of tools and techniques that can help ensure fit for purpose data
