Accelerate learning and build a shared vision by attending as a group

Over the next year, data and analytics teams and their leaders will need to leverage data and analytics to anticipate changes, shift quickly in response and then accelerate change. Fundamental to this success will be the ability for business specialists, data and analytics leaders and their teams to work side by side with a shared knowledge and an aligned vision.

There is no better environment for stakeholders to align, learn and network

Divide and conquer

Split up to attend more sessions designed for every member of your team.

Evaluate vendors and solution providers

Compare solutions for all stakeholders across your business.

Meet as a team with experts

Discuss your challenges and validate your strategies. 

Buy more, save more

Group Rate Discount

Save on registration when you attend the conference with your colleagues.

  • 1 for every 3 paid registrations
  • 2 for every 5 paid registrations
  • 3 for every 7 paid registrations
  • 4 for every 10 paid registrations

For more information, email GlobalConferences@gartner.com or contact your Gartner representative. 

Tips for attending the conference as a team

Align your vision as you forge strong relationships and a deeper, shared understanding with your colleagues and peers to help drive your strategies forward.

  • Have a team-planning call to set key objectives.
  • Decide a strategy for how to divide and conquer the agenda (which sessions you attend collectively could be as important).
  • Agree on how you will share key lessons.
  • Create a document repository for notes, slides, etc., on Google Drive or other file-sharing platform.
  • Create a Microsoft Teams/Slack/Google Hangout channel to stay in touch during the conference.
  • Make a plan to share coffee or lunch breaks together as a team.
  • Set up a.m. or p.m. meetings to discuss what you hope to learn, what you did learn, and stay connected.
  • Set up a meeting to review key take-aways and create an action plan for how you will apply what you have learned. What are you going to start doing/stop doing/do differently as a result of what you have learned?
  • Connect on LinkedIn with any peers you met during the conference.
  • Schedule follow-up meetings with any exhibitors that piqued your interest (through Gartner Conference Navigator).

Suggested sessions by role

  • CDO Circle 
  • The Foundation of Organization and Roles: From Control to Collaborate
  • Scenario Planning: How D&A Leaders Can Provide Insight Into the Future
  • The Foundation of an Effective Data and Analytics Operating Model
  • Why Every Organization Should Have a Chief Data Officer  
  • How to Have an Engaging Conversation With Your CEO About Data and Analytics
  • The Foundation of a Modern Data and Analytics Strategy
  • Data Storytelling: A Better Way to Engage Decision Makers With Data  
  • Scaling Analytics for Everyone Through Automation
  • Use AI Maturity Model to Do The Right Things at the Right Time
  • Utilize Self-Service Data Preparation to Augment Rising Data Engineering Challenges
  • The Foundation of Data and Analytics Is Cloud!
  • The Future of Data Management is Always Active, Always On, and In the Cloud
  • Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and Purpose
  • How to Design a Data Fabric for Augmented Data Management and Integration
  • 12 Quick Actions to Improve Your Data Quality
  • Edge Computing and Internet of Things Solutions: What to Know and How to Prepare 
  • Maximize Business Outcome By Adopting Modern Data Catalog with AI-enabled Metadata Capabilities
  • How to Govern Self-Service Analytics
  • Scaling Analytics for Everyone Through Automation
  • Use Composable Data and Analytics to Build Modular Business-Oriented Analytics Experiences
  • The Foundation of a Modern Data and Analytics Strategy
  • The Foundation of Data and Analytics Is Cloud!
  • Decisions: Can Data and Analytics Make Them Better? 
  • How to Leverage Customer Data Management Technologies for Better Customer Experiences 
  • Top Trends in Data and Analytics for 2022
  • Data Storytelling: A Better Way to Engage Decision Makers With Data  
  • Scenario Planning: How D&A Leaders Can Provide Insight Into the Future
  • Scaling Analytics for Everyone Through Automation
  • The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore
  • How to Have an Engaging Conversation With Your CEO About Data and Analytics
  • Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI 
  • Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques
  • The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore
  • Raise Your AI Game With Graph Analytics and Machine Learning
  • The Journey to Data and Analytics Governance Platforms
  • Where and How MDM Adds Value to the Business
  • Data and Analytics Governance: Foundations & Prospects
  • The Foundations of Master Data Management 
  • Connected Governance Needs a Data and Analytics Governance Platform
  • Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and Purpose
  • Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques 
  • The Future of Data Management is Always Active, Always On, and In the Cloud
  • How to Design a Data Fabric for Augmented Data Management and Integration
  • Edge Computing and Internet of Things Solutions: What to Know and How to Prepare 
  • Ask The Expert: Where Do Data Hubs Fit In The Modern D&A Architecture?
  • Use AI Maturity Model to Do the Right Things at the Right Time
  • AI and Customer Analytics - Now and Next
  • Raise Your AI Game With Graph Analytics and Machine Learning
  • The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore
  • Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques
  • Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI 
  • Ask the Expert: How to Operationalize AI and ML Projects — Key Considerations, Best Practices and Lessons Learned
  • Roundtable: Strategies for Mitigating Risk in AI Decision Making

Ready to bring your team?

Start by reserving your space now.