AI software automates routine work, suggests meaningful user actions, and provides value-driven insights.
Smart scanning and profiling, automated data catalog creation and intelligent suggestion engine drive faster time to value.
AI-driven matching and deduplication standardizes, matches, and harmonizes data to drive meaningful business outcomes.
Custom and out-of-the-box data intelligence dashboards identify ROI and empower your data storytellers.
Bring the best of business intelligence to enterprise data management.
With Syniti Data Intelligence Dashboards, we empower you to be data storytellers. Quickly and easily create reports, charts, and graphs that unlock the value of trusted data across your entire enterprise. For example, a manufacturing company could produce a dashboard to identify how data quality checks related to spare part duplicates correlate to key performance indicators such as downtime or cost savings.
Syniti Data Intelligence Dashboards help your data leaders visually present stories, based on real data, that illustrate how DataOps delivers measurable business outcomes. Use detailed project status and management dashboards to maximize project insights and drive success.
Get to clean data, faster with the world's leading data matching engine.
Operational Data Matching
Syniti Match not only cleans and deduplicates Party data, like contacts, accounts, vendors and addresses, but is unique in its ability to address Operational data, like supply chain and ERP data and things like spare parts, items, inventory, equipment and more
Patent-pending knowledge graph drives unparalleled insights.
We’ve fully integrated cloud-native knowledge graph capabilities into the Syniti Knowledge Platform (SKP) to give you unmatched visibility into every aspect of your enterprise data, including your complete data landscape and all of your strategic data initiatives.
By delivering enterprise-scale data relationship support, the SKP allows you to ask and answer new business questions in ways never before possible. Our knowledge graph acts as the foundation for current and future ML/AI capabilities, so you can expect to see ongoing value-focused data innovation in areas such as data migration, master data management, data quality, and data governance.