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

Over the next year, data and analytics (D&A) teams and their leaders will need to leverage D&A to anticipate changes, shift quickly in response and then accelerate change. Fundamental to this success will be the ability for business specialists, D&A leaders and D&A 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 meeting 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.
  • Add colleagues to your expert one-on-one meetings.

  • Connect together each morning for breakfast, prepare for the day and share the highlights from the previous day.
  • Create a Microsoft Teams/Slack/Google Hangout channel to stay in touch during the conference.
  • Make a plan to catch up for lunch or network during breaks.
  • Make the most of the conference, ensuring that all team members take the time to speak to exhibitors and get some key take-aways to bring back to the group.

  • 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 a follow-up meeting with any exhibitors that piqued your interest.

Suggested sessions by role

  • CDO Circle 
  • The Foundation of Organization and Roles: From Control to Collaborate
  • How to Drive the Business Value of Data and Analytics
  • The Foundation of a Modern Data and Analytics Strategy
  • The Foundation of an Effective Data and Analytics Operating Model

View Agenda

  • Streaming Data in Motion: Collision of Messaging, Stream Analytics and DBMS
  • Data Storytelling: A Better Way to Engage Decision Makers With Data
  • Scaling Analytics for Everyone Through Automation
  • Build Resilience and Agility Into Decisions Using X Analytics

View Agenda

  • How to Apply Top Techniques to Maximize Your Return on Data Management Technology Investments
  • How to Measure and Improve Data Quality?
  • Driving Analytics Success With DataOps and Enriched Data Engineering Practices
  • Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation
  • How to Design a Data Fabric for Augmented Data Management and Integration

View Agenda

  • Scaling Analytics for Everyone Through Automation
  • Data-Driven Foundations: Getting Started With Data Literacy
  • Relating Data Fabric Fundamentals to the Business Drivers
  • How to Drive the Business Value of Data and Analytics

View Agenda

  • Top Trends in Data and Analytics for 2022
  • Data Storytelling: A Better Way to Engage Decision Makers With Data  
  • Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation
  • Scaling Analytics for Everyone Through Automation

View Agenda

  • Leveraging Agile Best Practices to Build a Collaborative Data Science Practice  
  • The Future of Data Science and Machine Learning: Critical Trends You Can’t Ignore  
  • Technical Insights: Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI
  • Technical Insights: Leveraging Agile Best Practices to Build a Collaborative Data Science Practice
  • Driving Analytics Success With DataOps and Enriched Data Engineering practices

View Agenda

  • Trusted Data Sharing for Optimal Business Value: Top Best Practices to Get It Right
  • How New Technologies Like AI and Graph Are Transforming MDM
  • Metadata Is the Key to Self-Learning, Augmented Data Governance
  • Tech Insights: Building a Comprehensive Governance Framework for Data and Analytics
  • Effectively Leveraging Data Marketplaces and Exchanges as a Data and Analytics Leader

View Agenda

  • What to Do With Your D&A Platforms? Leverage Data and Analytics Ecosystems for Adaptability, Speed and Lower Cost
  • Technical Insights: Deploying Data and Analytics Architecture in AWS, Azure and GCP Cloud Platforms
  • How to Design a Data Fabric for Augmented Data Management and Integration
  • The Future of Data Management Is Always On and In the Cloud 

View Agenda

  • Use AI Maturity Model to Do the Right Things at the Right Time
  • AI and Climate Change: The Challenge, the Complexity and the Criticality
  • Using Cloud to Accelerate Operationalization of Enterprise AI
  • AI Engineering — Moving the AI Needle to the Next Level
  • Technical Insights: Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI

View Agenda

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