Gartner Data & Analytics Summit

18 – 20 May 2021 | EMEA | Virtual

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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, 18 – 20 May 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.

Technology

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.

Leadership

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

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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.

    Topics at a Glance

    Access over 50 hours of the latest Gartner research specifically designed to help data and analytics leaders build a world-class strategy. Each topic discussion helps you deliver on what matters most to you and your organization.

    Data and Analytics Everywhere

    Data and analytics are no longer peripheral to the business. They are even more important in times of disruption and uncertainty. They are core to how organizations serve and delight their customers, optimize business processes and reduce risk, digitally accelerate, and supply the foundation for new transformational business models and revenue streams.

    Leadership, Skills, Culture and Value Management

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

    Composable Data and Analytics

    Dramatic changes in business imperatives mean that organizations must be nimbler in their response than ever before. The data and analytics platform of the future will leverage data and analytics ecosystems and components to compose and recompose intelligent, AI-infused applications.

    Accelerating AI and Machine Learning

    Digital business and the Internet of Things (IoT) have fueled an exponential growth in data. The speed at which businesses must reinvent and shift has fueled the need to accelerate the use and operationalization of AI and machine learning (ML) across the organization for maximum business impact.

    Augmented Data Management

    Success with data and analytics will depend on building an agile foundation of trust, accountability, governance and security that respects privacy and promotes digital ethics. It also must be agile enough to respond to constant business and technology change.

    Privacy and Ethics

    The more data and analytics are central to the business, the more data we collect and connect, the higher the risk of violating customer privacy and using data and AI/ML unethically. Leaders must proactively manage data privacy, security and ethical use of data and analytics. It’s not only the right thing to do and increasing a regulatory requirement, it is essential to trust and credibility.

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