Identify unused pipelines, stale tables, and redundant dashboards to cut infrastructure costs by twenty to forty percent without risking business continuity.
Data stacks expand quickly but usage does not. Without knowing which assets are active or safe to remove, teams overspend every month while avoiding changes for fear of breakage.
Teams cannot tell which pipelines or models are truly active. Everything keeps running by default.
Deprecated reports and abandoned code continue to consume compute, storage, and operational overhead.
Unclear ownership and lineage gaps make teams afraid to delete anything.
Finance flags overruns, teams scramble, and rushed cuts create risk for critical processes.
Combine lineage and usage intelligence to identify unused or redundant assets safely. Teams can target real waste, confirm dependencies, and decommission with full assurance.
Understand what is active, what can be merged, and what can be removed without impacting the business.
Track which assets are queried, who uses them, and when. Score each asset by business value.
See exactly what will break before removing or merging assets.
Find redundant transformations and overlapping logic across teams.
Assign infrastructure spend by team, product, or dataset to improve accountability. Monitor trends, flag low value assets, and forecast savings continuously.
Unused pipelines, tables, and models are removed safely, reclaiming significant budget.
Teams operate a cleaner stack with fewer surprises and fewer systems to maintain.
Validated dependencies prevent breakage during optimization.
Clear usage, attribution, and savings forecasts create a shared understanding of value.
