Gartner Data & Analytics Summit

26 – 28 May 2020 | Tokyo, Japan

Cancellation of Gartner Data & Analytics Summit 2020 in Tokyo

Due to ongoing concerns about the coronavirus (COVID-19), Gartner has decided to cancel the Gartner Data & Analytics Summit, scheduled to take place in Tokyo, May 26 - 28, 2020.

Ensuring the health and safety of our customers and employees is our highest priority. Therefore, out of an abundance of caution, we believe this is the right decision given the evolving public health risks.

We have contacted all registered attendees, exhibitors, and partners with details for their individual situations. If you were registered for the conference and need additional assistance, please contact us at

Rewire Your Culture for an AI-Augmented Future

Leaders in data and analytics must accelerate their efforts to adapt to the AI era, and resolve new issues on the way.  One of the most important areas for businesses to focus on is transformation of their culture, and the organizational leadership necessary to achieve that.

In Gartner Data & Analytics Summit 2020, we will offer a range of suggestions related to data and analytics, not only regarding their impact on business and how to produce a strategy to deal with that impact, but also on the latest technology trends and the leadership necessary to transform corporate culture.

Take a look back 2019 Brochure from here

Business strategy

Learn how to build an effective data and analytics strategy that will lead to significant business value.

Drive change

Understand how to communicate better, foster disruption, and drive change in processes, technologies and decision-making practices.


Identify the best practices, skills and tools required to lead your organization through digital business transformation.

The Gartner difference

Gartner is the world’s leading research and advisory company. We equip leaders and their teams in every major business function with the indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. Across every industry and enterprise size, Gartner provides the expertise needed to tackle your key initiatives, stay ahead of competition and grow your organization’s value.

Calling all data and analytics leaders

Gartner Data & Analytics Summit is the premier gathering for chief data/analytics officers and senior data and analytics leaders.

  • Analytics and business intelligence leaders: Create a strategy to innovate business, validate and benchmark strategy.
  • Information management and master data management leaders: Maximize your value to your organization.
  • Senior IT and business leaders: Empower business analysts to do analysis, not integration.
  • Architects: Learn how to build the right information strategy and architecture.

Tracks at a Glance

Access more than 50 sessions that give you the latest Gartner research specifically for data and analytics leaders. The topic-focused agenda delivers insights that cover the challenges most critical to you and your organization.

Track A

Data Science, Machine Learning and AI (Pervasive Analytics)

This track will focus on the impact of advanced data and analytics on business. We will discuss best practices to raise business value, while considering technology trends, requirements faced by organizations, and recruitment of human resources.

Track B

Emerging Technologies

This track will review these technology trends and their future direction. We will also discuss the impact these trends have on organizations, new issues, and how to approach them.

Track C

Strategy and Business Outcomes

This track will discuss how to optimize investment in data and analytics, set appropriate priorities, and create a strategy for success.

Track D

Leadership and Culture

This track discusses what leaders, such as the Chief Data Officer (CDO), must do to overcome cultural barriers within the organization.

Track E

Trust and Governance

This track will discuss data governance and trust, while also looking at data quality, cataloging, and master data management.