Have you ever been called upon to debug or optimize a data-driven process? For regulatory compliance, have you had to do audits? If so, you may have wondered where all the data you're dealing with came from.
In reality, you were looking for data lineage. Data lineage diagrams offer numerous benefits to help users quickly and easily find what they're looking for. Data lineage is a fundamental feature of any data governance system. Its inclusion should not, however, be taken for granted.
In this blog post, we'll discuss data lineage diagrams - How they work, their meaning, and how using this invaluable tool can help ensure data quality.
A data lineage diagram is used to dive deeper into every aspect of change that happens in a data points’s entire lifecycle. This includes vertically, on different system levels, or horizontally, across the organization.
Everything that happens to a piece of data can be tracked down with a data lineage diagram – From the origin point to the point of use.
DataGalaxy enhances data governance by establishing a trusted source of truth with our detailed exploratory Data Lineage visualization. Understand data flows, relationships, and health to ensure data integrity and enhance decision-making across your organization to ensure you never lose control.
Data Lineage Analysts have identified six key questions that can be answered by using data lineage diagrams to track data movement and changes:
A data lineage diagram illustrates the path of your data’s flow from source to target. The diagram shows the full lifecycle of data, so if it encounters obstacles or dead ends, that will be shown. When data’s movement is depicted, an organization's business intelligence team will have a much easier time determining exactly how data may have been altered and with whom it interacted.
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