Explore how different mainframe data sources can provide valuable insight into the performance, availability, health, and security of your mainframe and its underlying applications. "Mainframes generate a massive volume of useful but overwhelming data that enterprise IT organizations often fail to fully leverage," says David Hodgson, General Manager, Mainframe, at Syncsort. A major part of the problem is the fact that the most modern and useful analytics tools were developed entirely outside of the mainframe sphere. Extracting and exporting mainframe data into external data warehouses for analysis using those standard toolsets has been, until recently, a difficult and expensive operation. Machine learning (ML) has come to the mainframe, and with it the ability to analyze (and monetize) mainframe data in place.