Data and analytics leaders, including MDM program managers, need to ensure a shared understanding of what defines master data across the organization.

Take a deeper look at master data management before heading to the conference with a selection of topic-specific content, including Smarter With Gartner articles, webinars and Gartner Predicts research. 

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MDM is a complex undertaking. Organizations should make an informed decision on readiness before adopting.

Enterprises often underestimate the complexity, cost and level of collaboration required for a successful MDM program. Consider these three important factors when assessing whether MDM is the best approach to your current problem and your organization’s readiness.

  • Assess organizational readiness
  • Determine the rightsized response
  • Keep the big prize in mind

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With technical skills in short supply and data growing exponentially, organizations need to automate data management tasks. Vendors are adding machine learning and artificial intelligence (AI) capabilities to make data management processes self-configuring and self-tuning so that highly skilled technical staff can focus on higher-value tasks.

This trend is impacting all enterprise data management categories, including data quality, metadata management, master data management, data integration and databases.

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Get ahead of the competition by knowing what the future of data management holds. In this complimentary webinar, you can plan for what’s coming next as we reveal where the data management market, function or capability is going and how it is evolving. This research will help early adopters get a leg-up and more conservative companies plan, prepare and make the necessary changes for continued and future success.

Discussion topics: 

  • What lies ahead for the data management market, function or capability
  • How your organization must plan for the future of data management

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Gartner Predicts

  • By 2023, AI-enabled automation in data management will reduce the need for IT specialists by 20%.
  • By 2022, 50% of cloud buying decisions will be based on the data assets provided by cloud service providers rather than on the product capabilities.
  • By 2023, AI-enabled automation in data management will reduce the need for IT specialists by 20%.
  • By 2023, 75% of all databases will be on a cloud platform, reducing the DBMS vendor landscape and increasing complexity for data governance and integration.
  • By 2022, organizations utilizing active metadata to dynamically connect, optimize and automate data integration processes will reduce time to data delivery by 30%.
  • By 2021, enterprises using a cohesive strategy incorporating data hubs, lakes and warehouses will support 30% more use cases than competitors.