Data governance has been indispensable for data management initiatives, along with controlling the ever-growing amount of data in order to improve business outcomes. More and more organizations realize that data governance is a necessity; however, they lack experience in implementing enterprisewide governance programs with actual, tangible results.

Take a deeper look at data governance 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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Why data and analytics leaders should create organizational models that balance freedom and control across teams.

When a data and analytics leader has to craft a new organizational model for centralized and decentralized analytics teams, the longstanding debate between control and freedom emerges.

The centralization-versus-decentralization debate often splits organizations into two groups:

  • The “control” faction, which values consistency, consensus and shared best practices.
  • The “freedom” faction, which values autonomy, agility and innovation.


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Discussion topics: 

  • Why are current approaches to data and analytics governance failing in digital business?
  • What key foundations do I need for modern data and analytics governance to deliver digital business success?
  • What is adaptive data and analytics governance, and why is it critical to the future of data and analytics?

Digital business success demands governance practices that are adaptive to business context and enable the realization of business opportunities. Traditional approaches to governance of data and analytics are no longer sufficient, especially in the face of changing market dynamics, new regulations and cyberthreats.

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Discussion topics:

  • The essential elements of governance
  • The business benefits to the implementation of governance
  • How organizations implement effective governance programs

Governance is one of the most difficult challenges faced by organizations aiming to drive business value through data and analytics programs. This data and analytics webinar discusses the foundations for establishing effective governance. It addresses the essential elements of an effective data and analytics governance, what benefits you can expect from this framework and how your should approach putting an effective framework into practice.

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Discussion topics:

  • How is AI expanding into the enterprise?
  • What you must do now for your AI strategy?
  • What must you include in your AI governance initiatives?

IT and business leaders must work together to devise a solid AI strategy that will create new opportunities now and into the future. That requires a clear vision, flexibility and especially strong governance. Join this special complimentary video discussion webinar as a panel of Gartner experts help you enable AI to take your organization to new heights.

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Gartner Predicts

  • Through 2022, only 20% of organizations investing in information governance will succeed in scaling governance for digital business.
  • By 2023, over 75% of large organizations will hire AI behavior forensic, privacy and customer trust specialists to reduce brand and reputation risk.

Want to dig deeper?

Gartner Data & Analytics Summit 2020 has a dedicated track: 

Trust and Governance: The Evolving Challenge

Gain guidance for adaptive enterprise data, analytics and AI governance, data quality, data catalogs, master and application data, best practices around digital ethics and trusted data sharing.