Reference Architecture for Enterprise Data Management

• Load structured and unstructured data with out-of-the-box connectors for lower costs and quicker time to market
• Provide transparency for the lifecycle of any data point with full backward and forward data lineage
• Ensure data quality with comprehensive governance tools, exception handling, and workflow control
• Measure the effectiveness and completeness of data with built-in DQM Score
• Foster accountability for data protection with signoff for all datasets
• Track all processes across multiple systems in real-time for improved operational performance and notify users via email, text, Google Chat, Slack, or Microsoft Teams
• Correct data and maintain a full time-series audit of corrections
• Use a single source for data discovery and publish curated data for consumption across the enterprise and extensive collaboration
• Control operating risks with digital-first managed services featuring “audit anytime” access and well-defined SLAs and KPIs
• Enable cloud-based performance with Snowflake and DataBricks

Product Demo: IVP Enterprise Data Management (EDM)