Gartner Data & Analytics Summit

31 July – 1 August 2023|Sydney, Australia

Deliver a world-class data and analytics strategy

Gartner Data & Analytics Summit 2022 addressed the most significant challenges that data analytics leaders face as they build the innovative and adaptable organizations of the future.

At the conference, the top sessions that data and analytics leaders attended were:

  • The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore
  • The Foundation of a Modern Data and Analytics Strategy
  • How to Govern Self-Service Analytics
  • Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and Purpose
  • Top Trends in Data and Analytics for 2022

The program for the 2023 Gartner Data & Analytics Summit is underway and we look forward to sharing details soon!

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.

Data has become the most important asset of any organization and data and analytics is more critical than ever. New use cases for data to support machine learning, artificial intelligence and analytics are endless. As the rate of change continues, embracing flexibility, agility and adapting to new challenges is a must. We have designed Gartner Data & Analytics Summit 2022 to address these changes, create new opportunities and prepare organizations for the future.

Donald Feinberg

Global Conference Chair and Distinguished VP Analyst

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    Calling all data and analytics leaders

    Gartner Data & Analytics Summit is the premier conference for chief data officers, chief analytics officers (CDOs and 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.
    • 验证和基准策略。
    • 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.

    Determine 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.

    2022 Tracks at a Glance

    Attendees had access to over 50 sessions of the latest Gartner research specifically designed to help data & analytics leaders meet the demands of the future. Each track had a particular area of focus that helped deliver what matters most to data and analytics leaders and their organizations.
    Track A

    Leadership and Skills: Be the Change Maker

    Data and analytics leaders are expanding their sphere of influence and impact on the business. This track investigates critical topics such as unleashing innovation, redefining culture and building and managing creative teams.

    Track B

    Business Strategy and Value: Optimize impact

    Data and analytics functions have always been critical to organizations, but now they have taken center stage as vital to business strategy. This track explores how to prioritize data and analytics investments and develop a strategy to ensure success.

    Track C

    Trust, Governance and Privacy: An Urgent Imperative

    Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. This track provides guidance for putting trusted, agile data and analytics, and artificial intelligence (AI) governance practices in place.

    Track D

    Analytics Everywhere: Better Decisions, Realize Value

    Digital acceleration and agility require analytics to be infused into every role, business process, decision and action. This track addresses how to make analytics fundamental to all parts of the business in a trusted way.

    Track E

    AI, ML and Data Science: Unleash Innovation & Deliver Value at Scale

    Developing and operationalizing AI, data science and machine learning (ML) can be daunting. This track is dedicated to exploring the strategies, tools, technology trends, skills and roles needed for successful deployment.

    Track F

    Emerging Technologies and Trends: Reach Beyond

    Harnessing innovative technologies to change business models and define new ways to interact with and serve customers, partners, suppliers and employees is a top priority. This track explores emerging trends reshaping business today.

    Track G

    Data and Analytics Architecture: Your Digital Acceleration Ecosystem

    Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. This track explores how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions.

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