A data platform you can bet money on
Build a modern data platform you can trust with Dagster’s best-in-class orchestration, observability, and reliability. Put your ML models to work with a unified view across all your data assets.
Data breaks when the chart of accounts changes
Finance teams update their chart of accounts or dimensions regularly—yet the underlying pipelines aren’t modular, leading to broken reports and delays in close.
Too many manual checks before generating reports
Before reporting to leadership, teams manually compare numbers across systems (ERP, billing, spreadsheets) to catch discrepancies—wasting hours each month-end.
When numbers don’t match, no one knows why
If revenue or cost reports look off, teams have to reverse-engineer the entire pipeline across systems to find the issue. There’s no easy way to trace or debug it.
Pull data, run compliance workflows, push them to your report
Dagster automates pulls across all your financial tools, provides built in data QA to provide real-time financial oversight, and makes it easy for finance to go into dagster, pull the data they need, and plug it into their reports.
Developers and data engineers can connect ERPs, invoices, banks feeds as normal
Ensure your stack is providing real-time financial data, you can schedule this daily, weekly, bi-weekly, monthly.
Zone in on where failed runs happen, why they happen—Seasily push to your data team to fix.
How a finance team automated their month-end close with Dagster
Zippi transformed their data operations by implementing Dagster, enabling better ML integration, improved pipeline monitoring, and enhanced collaboration across teams. The Brazilian fintech startup's journey demonstrates how a unified data platform can eliminate silos while supporting incremental innovation and growth.
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