Purpose of the paper: To elaborate on the idea that the clock-speed of processes controlled with Big Data Analytics (BDA) is increasing to the point that the risk of tampering might become a problem with process instability as a consequence.Methodology: The paper is based on previous research and the predictions made by the authors.Main Findings: Traditional Process Management, with ‘control and stability’, can suffer from slow improvements. Today, fast changes are necessary. The emergence of BDA has made this possible. However, BDA is often descriptive and diagnostic, but seldom predictive and prescribing. On the other hand, that could be achieved by combining BDA with QM/QC tools. Unfortunately, this is seldom executed. Without, there is a risk of getting ‘fooled by randomness’, and the faster the pace, the bigger the risk of tampering and thus, increasing variation, and hence decreasing quality.Practical implications: An enhanced understanding of the connection between BDA and tampering will lead to better decisions and results.Originality/value: Although tampering is an old concept, it is under-researched and in need of further investigation.Type of paper: Research idea