Correlate disparate structured and unstructured information without legacy data transformation and mapping using the Ripple engine.
The Ripple engine chains together a time-linear sequence of information that shares a common set of correlated words.
This provides early visibility into relevant information with proper time provenance, eliminating the need for expensive data transformation and database-level queries to correlate information.
Ripple search can be limited to a specific Workspace, Space, or Timeline, thereby controlling the search results and improving the quality of relevant information.
Unity Central extracts positional sequences of words from each format and discovers a network of words between documents and data. This allows Unity Central to correlate many formats and join data without transformation.
Users can set recurring searches for important keywords, enabling the system to look for relevant information and notify them upon arrival.
Every data set and document captured in Unity Central is recorded with a time, sender, and receiver. This provides time provenance across formats and information sources.
Legacy systems require painstaking mapping of different formats from partners and internal systems into a data model to allow users to join and correlate information. When new formats are introduced, this process must be redone. The Ripple engine circumvents this by correlating a network of words across disparate sources, providing rapid and high-quality end-to-end visibility of supply chain information without expensive transformation.
In legacy supply chain systems, information is isolated, requiring users to create a time-linear sequence of events to justify remediation. In Unity Central, the Ripple engine provides a rapid time-linear sequence of correlated information from disparate sources and allows you to share this information with peers, improving the quality and speed of decision-making.
The Ripple engine can correlate text files, Word documents, HTML files, Excel files, CSV files, EDI documents, XML and JSON documents, and database records.