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WHAT'S IT ABOUT?

Data democratization boosts decision-making speed and innovation by making data accessible to all, fostering a nimble and innovative culture in the public sector. It streamlines operations and cuts down on resource usage, enhancing efficiency.

In this Denodo + Microsoft Better Together session, we explore the four pillars of data democratization and how they can enable the data management strategy for public sector.

Join us to learn:

  • What is Data democratization
  • The four pillars of data democratization and data product self-service: Governance, Literacy, Consumption and Creation
    • Governance
    • Literacy
    • Consumption
    • Creation
  • The different personas in public sector that interact with data across these pillars, and how the use of artificial intelligence can improve their data experience
  • How Denodo and Microsoft Purview complement each other to provide end to end data product governance
  • Migrating to Azure and implementing a virtual data factory to minimize impact to user experience and complementing Azure Databricks and Microsoft Fabric

Denodo Platform is used by

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Spaces are limited. Please register to attend.
  • Microsoft
    100 Queen Street, Suite 500
    Ottawa, ON K1P 1J9
  • May 16, 2024 | 9:30 AM - 12:30 PM
  • Caterina Didio-Duggan
Agenda

  • Registration and breakfast
  • Microsoft & Denodo Welcome and Introduction
  • Presentation - Enabling a Data Management Strategy for Data Democratization in Public Sector
  • Presentation by Microsoft
  • Q&A
  • Closing Remarks
  • Lunch and Networking
  • Microsoft
    100 Queen Street, Suite 500
    Ottawa, ON K1P 1J9
  • May 16, 2024 | 9:30 AM - 12:30 PM
  • Caterina Didio-Duggan
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Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data into trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone.
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