How can data lineage help data scientists make better reports?
Data lineage provides data scientists with greater functionality for locating the appropriate metrics required for their reports, requiring less time and effort. It also affords greater confidence in the metrics being utilized in the reports, as it is possible to visualize the lineage back to the source technologies.
How can data lineage help with auditing data standards?
Data lineage provides visibility into the flow of data throughout enterprise systems and ensures a documented data flow trail throughout the data lifecycle. Data lineage is helpful for setting and adhering to auditing standards, as it helps serve multiple purposes, including ensuring compliance with regulatory reporting, identifying data security breaches, and maintaining compliance with government and industry regulations.
How can data lineage improve data quality?
When you have a complete overview of all your data flows, sources, transformations, and dependencies, you have control of your data assets. You can speak to the accuracy and quality of your data and have confidence in your data information and reports. By giving you a full overview of how your data moves across systems, where it originated, how it transforms along the way, and how it’s interconnected, data lineage can help you to ensure the quality of your data, reinforce your overall data management strategy, and increase trust in your data.
Does data lineage help with SQL reporting?
With a detailed map of all direct and indirect dependencies between data entities within your environment, data lineage provides a full overview of how your data flows throughout your environment. As a result, you get a better understanding of the sources, structure, and evolution of your data. The visibility provided by data lineage can reduce SQL errors in reporting, improve understanding of your reporting, and help improve decision-making based on your data.