Optimization across your entire data pipeline, and stack.
What mattered last quarter might be obsolete today—but without tracking real usage there’s no way to tell. When you can’t see how data is used from end to end, it’s impossible to know what’s worth the cost. Pipelines run on autopilot, jobs trigger too often, and updates refresh dashboards no one looks at.
Without visibility at the job level, from ingestion through ETL and orchestration to BI, teams keep building and paying for processes that deliver little value. Over time, these inefficiencies pile up, draining budgets and slowing performance.
Seemore gives you full visibility into how data moves, transforms, and gets used. From upstream jobs to final dashboards, it maps performance across every layer and flags inefficiencies based on actual usage.
You see where processes run too often, cost too much, or deliver too little. With clear, end-to-end context, including frequency, duration, dependencies, and usage, you finally have the insight to act with confidence.
- Get real-time visibility into ETL execution, load times, and processing unit usage – a mission-critical task with consumption-based solutions
- Identify bloated or redundant transformations in dbt and cut unnecessary compute
- Monitor Rivery, Fivetran, and Stitch for high-cost connectors and excess data syncs
- Map every transformation back to lineage so you can streamline operations and cut waste
- Link dashboard usage in Tableau, Power BI, Looker, and Qlik Sense to pipeline load
- Tune queries and update frequencies based on actual viewing patterns
- Track origin, movement, and transformation of data across the full BI lifecycle
- Identify costly dashboards and align refresh rates with real usage
- Clean up unused BI licenses
- Monitor DAG execution and task behavior in Airflow, Astronomer, and Dagster
- Spot inefficient task scheduling and over-provisioned worker nodes
- Evaluate solids (Dagster), tasks (Airflow), and jobs (Rivery) for execution bottlenecks
- Align orchestration logic with downstream demand and real usage patterns
Efficient teams through Deep Lineage >>
Rethinking Data Lineage: Aligning Teams for Cost and Performance Optimization >>
"see processes end-to-end and catch any changes before they have a wider impact" >>
Dear Rest of the Company WTF!? Someone is Draining My Data Budget! >>
