Gartner Data & Analytics Summit

23 – 24 June 2021 | India | Virtual

Develop a resilient data and analytics strategy for an AI-ready, data-centric organization

Faced with a constantly evolving business landscape and unprecedented levels of uncertainty, it’s more vital than ever that data and analytics leaders such as the chief data officer and chief analytics officer (CDO and CAO) forge new paths to enable a data-and-analytics-centric culture within their organizations.

Data and analytics leaders must be able to tie data and analytics strategy to business outcomes and promote the adoption of technologies, such as artificial intelligence (AI), while creating a resilient culture that accelerates change, and where data literacy, digital trust, governance and data-driven critical thinking are pervasive. 

The virtual Gartner Data & Analytics Summit, 23 – 24 June 2021, offers content for every member of your data and analytics team — from technical to senior-level strategy. Join data and analytics leaders to gain the skills to build and execute a world-class strategy. 

Business Strategy

Learn how to build a data and analytics strategy that enables digital acceleration and agility while driving significant business value.


Take a deep dive into the data and analytics trends and tools that will change your organization, compare technology providers and separate hype from reality.


Develop the leadership skills to bridge the gap between business and IT, drive innovation, make data and analytics central to your culture and build a resilient, adaptable and data literate organization.

The uncertainty ushered in by 2020 will stay with us for multiple years to come. But with disruption comes enormous opportunity to not just restart what we used to do, but forge new paths. Data and analytics leaders that thrive will design and execute on a strategy that accelerates change, builds resilience and optimizes business impact.

Rita L. Sallam

Distinguished VP Analyst, Gartner Research & Advisory

Chief Data Officer (CDO) Circle

The CDO Circle is an exclusive program within the overall agenda designed for Chief Data Officers (CDOs) and senior analytics leaders to explore new strategies, share innovative ideas and grow their community of peers.

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    Calling all data and analytics leaders

    Gartner Data & Analytics Summit is the premier conference for CDOs, CAOs, and senior data and analytics and business leaders.

    Understand how to establish the strategy, organization, culture and skills to align to business priorities and outcomes, and leverage key data and analytics trends
    • Discover how to organize for success and not just survive but thrive. 
    • Leverage key data and analytics trends to drive business outcomes. 
    • Create a strategy to innovate business and accelerate change. 
    • Foster the cultural changes needed to make the use of data and analytics pervasive to impact the business. 
    • Align data and analytics with business outcomes and digital acceleration.
    Gain insights into the tools and best practices to drive real business value and deliver innovation
    • Create a strategy to innovate business and accelerate change.
    • Validate and benchmark strategy.
    • Infuse insight everywhere in the organization.
    • Align data and analytics to business value. 
    • Empower the entire organization with access to the right tools and data.
    Establish trusted and adaptable information and data management capabilities to support the changing needs of the organization
    • Maximize your value to your organization.
    • Ensure data quality.
    • Build effective data governance programs.
    • Strive for the highest standards of ethics and trust.
    Determining how best to architect products and solutions, which have the capabilities to deliver against your business objectives, is now paramount to digital success
    • Deliver composable data and analytics architectures and data fabrics for the next decade.
    • Understand the latest trends and tools in data and analytics.
    • Prioritize investments in information, and data and analytics applications, platforms and architectures.
    • Establish data quality and master data within the organization.
    • Plan and optimize for data and analytics cloud ecosystems.

    2021 Tracks at a glance

    Explore the conference tracks built upon the latest Gartner research specifically designed to help data and analytics leaders build a world-class strategy. Each track helps you deliver on what matters most to you and your organization.

    Track A

    Leadership, Strategy and Business Outcomes: Accelerate the Value

    Uncertainty and disruption mean data and analytics leaders must build and lead resilient and adaptive organizations to find opportunities in the chaos. Data and analytics strategy must be linked to the business in order to deliver value.

    Track B

    Trust Governance and Privacy: An Urgent Imperative

    As all forms of data and analytics permeate the organization, it’s crucial to have trusted, agile data governance practices, processes, frameworks and protocols in place. This track provides guidance and best practices for data and analytics strategies grounded in trust and governance that make analytics accessible and widely adopted across the enterprise, and beyond.

    Track C

    Analytics Everywhere: Drive Pervasive Outcomes

    Data and analytics leaders must understand how to operationalize and expand their organizations’ use of data and analytics for the greatest impact without compromising quality, integrity, and trust. This track addresses how to make analytics fundamental to all parts of the business in a trusted way. It discusses the latest trends: data storytelling, augmented analytics, the convergence of analytics and BI and data science, embedded and composable analytics, and continuous and real-time analytics.

    Track D

    Data Architecture: The Foundation of Your Digital Acceleration

    Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. Visionary leaders know it’s necessary to form a cohesive architecture for future digital success. This track explores how to architect disparate data and analytics capabilities together with a focus on enabling composable technology components.

    Track E

    AI, Data Science and Machine Learning: Compose The Future

    While operationalizing data science, machine learning (ML) and AI can be daunting, it is critical to achieve business value. To succeed, leaders must develop an understanding of the strategies and technologies in this space. This track is dedicated to exploring the technology trends, organizational requirements, skill development and talent needed for successful deployment, as well as the business impact of these advanced data and analytics capabilities


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