Data Integrity of Automated Systems
This course offers a practical approach to assess the current data integrity status of your automated systems and provides examples on how to fix common data integrity gaps by means of technical controls, instead of procedural controls.
Short description
Data Integrity of automated systems is often difficult to achieve.
Especially when data is registered, stored, or controlled in a hybrid way; partly technical, partly procedural.
How are your systems currently configured? Are backup systems in place? Are general user accounts active? These questions mark the initial step of our course. We're keen on understanding the specific challenges in your organization, allowing us to tailor our expertise to your precise requirements.
In this course, you'll learn to understand where your data is stored and to assess your control over each system. We achieve this by identifying the processes that help us to answer this crucial question: 'What information resides where?'
Our focus is on practical application because knowledge becomes only solid when applied. We seamlessly blend theory with hands-on exercises, ensuring you will be able to apply your expertise in your work environment.
Objectives
Insight in how to optimize system design for robust data integrity.
Understand when measures / controls on data integrity are necessary.
Overview of operational activities to ensure data integrity after implementation.
Acquire the skills to gain full data visibility and assess your system controls.
Target group
Management, production, laboratory and QA persons working at a (bio)pharmaceutical, medical device, healthcare, or food company.