About this demo
Organizations often struggle with bloated data estates where only a fraction of assets are truly relevant for business use. Stale, unused, and duplicate assets clutter the environment, making it harder for data producers and consumers to quickly find what matters. This noise leads to wasted time, governance overhead, and productivity loss.
Atlan’s data lifecycle management helps teams take control by identifying and deprecating unused or duplicate assets through powerful lineage tracking and popularity metrics. With Atlan, you can easily spot assets with no dependencies, low usage, or long periods of inactivity—whether via the UI, APIs, or external tables. This proactive cleanup reduces costs while ensuring that data consumers work only with trusted, high-value assets.
Beyond cleanup, Atlan provides insights into usage and cost through reporting dashboards, empowering data leaders to make data estate management decisions with confidence. By focusing on lifecycle management, organizations not only save time but also accelerate discovery, reduce governance overhead, and increase adoption of relevant data assets.
This guide showcases practical strategies, tools, and metrics to measure business impact—such as time saved in asset discovery and reduced time wasted on irrelevant assets—helping teams unlock efficiency and build a healthier, more manageable data ecosystem.