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 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. 

Tips for attending a virtual 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.
  • Share sessions with your teammates — make notes of times they would find especially helpful.
  • Make a plan to virtually share a coffee or lunch break together as a team.
  • Set up a.m./p.m. calls to discuss what you hope to learn, what you did learn, and stay connected.
  • Set up a call 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?
  • Create a shortlist of must-see sessions you missed and schedule time to view them in the next week or two while the conference is still fresh in your mind.
  • Connect on LinkedIn with any peers you met during the conference.
  • Schedule follow-up meetings with any exhibitors that piqued your interest (through the Attendee Portal).

Suggested sessions by role

  • CDO Circle sessions
  • The State of Data and Analytics in 2021 and Beyond (Exclusive to CDO Program)
  • Governing AI for Value (Exclusive to CDO Program)
  • How to Optimize Data and Analytics Value: The New Strategic Imperative

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  • Use Composable Data and Analytics to Build Business-Oriented Analytics Experience
  • What You Need to Do About Customer Analytics
  • When Worlds Collide: Augmented Analytics Combines Analytics and Data Science for High Impact
  • Use Composable Data and Analytics to Build Business-Oriented Analytics Experience
  • Data Storytelling: A Better Way to Engage Decision Makers With Data

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  • The Practical Data Fabric: Six Steps to Design an Augmented Data Management Infrastructure
  • From Self-Service to Enterprise to Augmented Data Preparation: Understanding the Data Preparation Tools Market
  • Five Must-have Foundations for Effective Data Quality Programs
  • Augmented Data Catalogs: Now an Enterprise Must-Have for Data and Analytics Leaders

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  • What You Need to Do About Customer Analytics
  • The Foundation of a Modern Data and Analytics Strategy
  • How to Optimize Data and Analytics Value: The New Strategic Imperative
  • How to Select the Right Professional Services Provider for Your Data and Analytics

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  • Top Trends in Data and Analytics, 2021
  • Data Storytelling: A Better Way to Engage Decision Makers With Data
  • Use Composable Data and Analytics to Build Business-Oriented Analytics Experience
  • How to Optimize Data and Analytics Value: The New Strategic Imperative

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  • The Future of Data Science and Machine Learning: Critical Trends You Can’t Ignore
  • Operationalizing AI and Machine Learning: Best Practices and Lessons Learned
  • Boosting Machine Learning With Better Training Data
  • Driving Analytics Success With Data Engineering

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  • From Self-Service to Enterprise to Augmented Data Preparation: Understanding the Data Preparation Tools Market
  • Building End-to-End Data Architectures in AWS, Azure and GCP
  • The Practical Data Fabric: Six Steps to Design an Augmented Data Management Infrastructure
  • Five Must-Have Foundations for Effective Data Quality Programs
  • Best Practices for Real-Time Analytics and Continuous Intelligence

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  • Operationalizing AI and Machine Learning: Best Practices and Lessons Learned
  • Top Trends in Data and Analytics, 2021
  • The Future of Data Science and Machine Learning: Critical Trends You Can’t Ignore
  • AI Engineering: How to Propel AI From Prototypes to Scalable Value Generators
  • Use Brilliant AI Ideas From Others to Inspire Your Own Use Cases

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  • The Foundation and Future of Data and Analytics Governance
  • Five Must-Have Foundations for Effective Data Quality Programs
  • Augmented Data Catalogs: Now an Enterprise Must-Have for Data and Analytics Leaders
  • The Future of Data Management Beyond 2021

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