Elementum converts changes in data into triggers that automatically initiate and execute business processes.
Simply drag and drop to create dynamic relationships between data tables, based on common identifiers, for targeted data mining.
Select from a library of heuristic or ML-based models, or craft your own using NLP. Automations spring to life in response to shifts in patterns, relationships, thresholds, SLAs, and other anomalies.
Reducing unused software licenses is a $MM opportunity, but 95% of organizations lack visibility into license utilization. Elementum proactively identifies underutilized software consumption and initiates workflows on license exceptions, requests, and renewals
Managing large amounts of data across multiple sites makes it impossible to address issues proactively or identify long-term corrective actions.
Elementum continuously mines data from multiple production feeds within Snowflake to automatically trigger an escalation workflow when anomalies are detected.
Accurately planning in-transit lead times is impossible because there are typically thousands of shipping lanes and tens-of-thousands of shipments.
Elementum dynamically monitors shipping data against actual transit times, recommended new lead times, and automatically updated POs and planned lead time in SAP.