Data provenance tracking is particularly important in the areas of big data and smart data, digital transformation, cybercrime and cybersecurity. The term describes how it is possible to trace where data originally comes from and how it has changed over time.
Imagine you work in a company that collects a lot of data from different sources every day, for example customer data, sales figures or log files. With data provenance tracking, you can see exactly who entered this data, when it was changed and for what purpose. This helps to find errors quickly or to check compliance with data protection guidelines.
A concrete example: An incorrect value is discovered in the sales figures in a large database. With the help of data provenance tracking, it is possible to trace when the value was changed, who did it and which database was used. This allows errors to be corrected quickly and fraud attempts to be detected more easily.
Data provenance tracking therefore ensures that companies maintain transparency about their data and can ensure the quality of their information. This is particularly important in times of increasing data volumes and strict data protection laws.
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