Data engineering & automation
From recurring business reporting to U.S. power-market data, SteadyState Data collects, validates, normalizes and delivers operational data into the systems where it is actually needed.
An unmanaged process, left. A system that operates on its own, right.
Someone manually builds the same report every morning.
Important data moves through emailed spreadsheets.
Two systems disagree and nobody knows which one is right.
A critical integration was written years ago and nobody wants to touch it.
A vendor API fails and nobody notices until the business asks where the data went.
One employee knows the twelve steps required to make the process work.
These are usually process problems first and software problems second.
Learn how the process works today.
Determine what should be automated, changed, or eliminated.
Implement the integrations, pipelines, checks, and reporting.
Monitor the system and keep it reliable as the business changes.
What we do
We don't start with a pipeline. We start with the process the pipeline is supposed to support.
Read moreReliable movement of data between the systems your business runs on.
Read moreConnecting business systems that were never designed to work together.
Read moreMake the report happen correctly without someone spending two hours producing it.
Read moreAlready have a pipeline? We'll make it boring.
Read moreWe can build it and leave, or build it and operate it.
Read moreWhere we started
SteadyState Data grew out of solving difficult data problems in U.S. power markets.
Energy trading requires continuously collecting, validating, normalizing and storing large amounts of operational data from fragmented sources — ERCOT, PJM, MISO, CAISO, NYISO, ISO-NE and others.
Those same engineering principles apply far beyond energy. Whether the source is ERCOT, an external API, a vendor portal, recurring reports or a legacy database, the objective is the same:
Get the right data where it needs to go, reliably and automatically.
Explore Energy DataBefore
Every morning, an employee:
After
A managed process:
The employee stops being the pipeline.
Our experience includes environments where APIs, databases, spreadsheets, vendor portals, scheduled reports, and operational systems all have to work together reliably.
API integrations and scheduled operational workflows across US electricity markets.
Movement, validation, and delivery of recurring operational and client reporting data.
Connecting field systems, scheduling, and back-office reporting that were never built to share data.
Turning manual, spreadsheet-driven processes into systems that run on their own.
Building and maintaining the connections between internal systems and outside platforms.
A SteadyState Data service
SmallDataPipes is a standardized SteadyState Data service for simple recurring data automation. If you need a report downloaded every morning, an API synchronized to a database, or a recurring manual process automated, SmallDataPipes provides a simpler starting point.
Spreadsheet, legacy script, vendor portal, undocumented API, manual reconciliation — that's fine. Start with the problem as it exists today.
Talk About Your Process