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

Over the next year, it is imperative for data and analytics teams and their leaders 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.

Download our infographic wtih our top 5 tips on how to attend Gartner Data & Analytics Summit as a team. 

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. Receive complimentary registration(s) when you register as a team.*

  • 1 for 3 paid registrations
  • 2 for 5 paid registrations
  • 3 for 7 paid registrations
  • 4 for 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 learning.
  • Create a document repository for notes, slides, etc., on Google Drive or other file-sharing platform.
  • Add colleagues to your expert one-on-ones.

  • Create a Microsoft Teams/Slack/Google Hangout channel to stay in touch during the conference.
  • Make a plan to share a coffee or lunch break 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 Future of Data and Analytics: Reengineering the Decision, 2025
  • How to Drive the Business Value of Data and Analytics
  • Bake-Off: Modern Analytics and BI Platforms
  • Streaming Data in Motion: Collision of Messaging, Stream Analytics and DBMS
  • Data Storytelling: A Better Way to Engage Decision Makers With Data  
  • Rethink Self-Service: Establish Analytic Franchises to Drive Adoption, Break Bottlenecks and Maximize Value
  • Scaling Analytics for Everyone Through Automation

 

  • Database Management Systems: Accelerate to the 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
  • Utilize Self-Service Data Preparation to Augment Rising Data Engineering Challenges
  • Rethink Self-Service: Establish Analytic Franchises to Drive Adoption, Break Bottlenecks and Maximize Value
  • Scaling Analytics for Everyone Through Automation
  • Use Composable Data and Analytics to Build Modular Business-Oriented Analytics Experiences
  • Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation
  • Maximize Value by Extending to Predictive and Prescriptive Analytics
  • 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
  • Trusted Data Sharing for Optimal Business Value: Top Best Practices to Get It Right
  • Technical Insights: Driving Analytics Success With Data Engineering
  • Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques
  • Technical Insights: Leveraging Agile Best Practices to Build a Collaborative Data Science Practice
  • Raise Your AI Game With Graph Analytics and Machine Learning
  • The Future of Data Science and Machine Learning: Critical Trends You Can’t Ignore
  • Bake-Off: Data Science and Machine Learning
  • Data and Analytics Everywhere Needs Connected Governance
  • Where and How MDM Adds Value to the Business
  • Data and Analytics Governance: Foundations and Prospects
  • Built for Speed: How to Bootstrap an MDM Initiative
  • Metadata Is the Key to Self-Learning, Augmented Data Governance
  • Data Lakes, Data Warehouses and Data Hubs Aren’t the Same: Know Their Capabilities and Purpose
  • 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
  • Avoid Data Lake Failures by Addressing Modern Lake Requirements
  • AI Engineering: Moving the AI Needle to the Next Level
  • Use AI Maturity Model to Do the Right Things at the Right Time
  • How to Find Winning AI Use Cases
  • Seven Future AI Scenarios
  • Synthetic Data: Why, When and How to Use 

Questions?

Ready to bring your team?

Start by reserving your space now.