Organizations find it difficult to stay ahead when they continuously have to accommodate new data sources and more data without sacrificing efficiency.
Accepting that most devices can theoretically be connected to a network, building and managing such networks in a global, secure way—and then getting data out of them for analysis—is complex and difficult for organizations.
Multiple data marts are inefficient: they are complex and costly, and they make data difficult to use.
Organizations that want to take advantage of machine learning need to centralize their data with a managed data store that can consolidate structured and semi-structured data.
