We know what it is like when you have to deal with messy data. Streamline was founded by data scientists who were frustrated by having to deal with emailed flat files, four different databases, constantly updating data formats, and unstructured, unnormalized data.
We built Streamline to make the lives of data professionals easier with a managed data pipeline that takes the worst of the data management and cleaning issues off your hands.
If you are in the weeds working with data every day (whether you are a data scientist or not!), we are here to help make your life easier and your impact higher.
If you want to schedule a demo of Streamline and hear how we can take the pain out of low-level data work, get in touch!
We work with your functional teams to standardize data processes, find all your data sources, and build a custom pipeline to pull your data and put them right where you can get them.
We take the pain out of data cleaning. We build normalization, organization, and tidying into the data pipeline. You get fresh, clean, normalized, and tidy data to speed up your analysis.
With clean, up-to-date data, you can quickly iterate on what matters most. Build visualizations and dashboards to help decision makers, machine learning models you can reliably deploy, and easy breezy automated reports.