The growing use of data and the internet of things (IoT) across every industry — including logistics, manufacturing, and oil and gas — is ushering in an era of data abundance. Abundant data can certainly be a good thing, but only if it's used. The goal is increasing a company’s efficiency, profits and overall success through analytics and artificial intelligence (AI).
That’s precisely where data provenance comes into play. Data provenance is the pedigree of the data — the record of components, inputs, systems and processes that affect collected data, providing a historical context. In short, it is understanding where data comes from, how it is collected and how it can best be used. This allows analytics and AI to be effective and trustworthy.