Data is everywhere. Putting it to work is challenging.
Today's organizations run on dozens of enterprise applications: ERPs, procurement tools, HR and finance platforms, and more. Making it available at scale has always been difficult, and the shift toward AI rasies the bar.
Difficult and messy data sources
Nested formats, undocumented fields, and custom configurations. Operational systems like SAP Ariba, Concur, Coupa, Infor, and Bullhorn are the hardest to integrate.
PDF data is inaccessible
Unstructured data contains the information needed to manage vendors, onboard new customers, harden the supply chain and more. Typical ingest workflows neglect these data types.
Backlog of integration requests
New analytics and AI initiatives need additional data sources and types. Teams spend months slogging through the list and projects are stalled.
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