This interactive workshop will focus on understanding the significance of ensuring integrity of data and how to accomplish this in a risk-based and a compliant manner. The session is industry-agnostic and will cover a case study on Quality Management System transformation to embrace Quality 4.0 fundamentals.
In this era of big data, when more pieces of information are processed and stored than ever, implementing measures that preserve the integrity of the data that’s collected is increasingly important. Understanding the fundamentals of data integrity and how it works is the first step in keeping data safe. Additionally, data is a bedrock of informed decision making and we have an obligation to ensure the decisions are based on evidence. Data integrity ensures the evidence is preserved for the future.
We will also discuss key aspects of Quality 4.0 and associated principles. Looking into the future, organizations will continue to gain pace in adopting the technologies that are geared towards providing integrated, cloud-based platforms with advanced collaboration capabilities. With advanced data sharing capabilities, ensuring overall integrity will continue to be critical.