Reference Architecture for Enterprise Data Management


As buy-side firms undergo crucial digital transformation, they struggle with siloed, decentralized data management with rigid models and workflows that lack self serviceability. In this webinar, Indus Valley Partners’ subject matter experts discuss the transition with growth of data driven capabilities and how funds and asset managers can enhance efficiency, drive performance, and meet essential data requirements.

Key Takeaways
  • 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)

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