Data provenance is an important term in the areas of big data and smart data, cybercrime and cybersecurity as well as digital transformation. It describes the origin and development of data - i.e. when, where and how a data set was created, changed or used.
Imagine you work in a company that collects a lot of customer data. Data Provenance helps you to track exactly when information was entered, by whom and what changes were made afterwards. This makes data more transparent and secure. Especially with sensitive data or in strictly regulated industries, such as finance, data provenance is crucial for providing evidence for audits or legal requirements.
A practical example: An error is discovered in the delivery address of an online retailer. With Data Provenance, it is possible to recognise exactly when and by whom this address was last changed. This enables companies to quickly find sources of errors, clarify misunderstandings and improve their data quality.
In short: Data Provenance ensures that companies always know where their data comes from, how it was changed and whether it is trustworthy.
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