Data Pipes by Actio (R) solves the perennial problem of onboarding data from all of your legacy systems. Data Pipes allows you to use PipeScript(R) to rapidly source and use data from OnPremise or Cloud systems.
Data Pipes delivers data quickly. When you pipe data between systems the pipe delivers a Preview so you can validate that you are getting is what you expect rather than dealing with dirty data after it has been loaded into the target system. Data Pipes delivers PipeScript (R) an open scripting language. There are no secrets with Data Pipes just transparent data flows that bring more certainty to your Data Operations.
Helping George and Matilda to see more clearly
“Using Data Pipes we are integrating legacy Optical Practices into our cloud based supply chain and analytics system to create a single inventory management view for the business…”
Geoff Greenberg, CFO
Data Pipes is built around the core concept that accessing data from your systems should be fast and easy and repeatable. Actio has simplified the process of system integration so that getting access to data is easier for development teams and far more transparent to the business.
Data Pipes was conceived from the idea that accessing and integrating data from all of your systems should be easy and repeatable. Data Pipes suite of connectors and unique scripting approach turn the work of integration into a matter of hours rather than days and weeks.
Data Pipes shows you where your data is flowing from and to and if there are any blockages. Development teams and the business can access a data health dashboard that quickly highlights any issues, the cause of the issue and where a fix is needed.
Data integration is often a mystery to the business. Data Pipes enables both development teams and the business to access web-based data previews that show you what data you have flowing through your systems at any given time.
Knowing where your data has come from is often just as important as having access to it. Data Pipes features data lineage reports that ensure you know exactly what data you are working with and where it came from.