The IDEA User Conference provides a great opportunity to share your experience, tips and techniques with fellow users. We are interested in creative, compelling and thought-provoking topics across all industries. Conference presentation options include 4-hour pre- or post-conference workshops, and 50-, or 75-minute breakout sessions. Each session should include an interactive discussion of the topic, practical applications and 10-15 minutes of Q&A.
We will be offering a virtual attendance option at the conference. Conference sessions will be recorded and simulcast to the virtual audience. In addition to the breakout sessions, we are also looking for speakers interested in sitting on a panel, or leading a round table session.
If you are considering submitting a proposal, here a few tips and guidelines to give you an idea of what we’re looking for.
- Contact info, credentials and speaking and IDEA usage experience
- Biography (75 words)
- Presentation title and description (100 words)
- Learning Objectives (at least 3 key takeaways)
For 50 minute and 75 minute sessions, we’re looking for speakers that:
- Have a passion for data analytics and IDEA and a willingness to share their knowledge
- Tell a great customer success story and can go deep on how your company implemented and is using IDEA
- Provide clear tips or tricks, best practices, teachings and how-to’s
- Focus and/or highlight a specific feature and how you are using it
- Highlight the ROI and additional benefits your company and team has seen since implementing IDEA
For our 4 hour pre- or post- conference sessions, we’re looking for sessions that:
- Provide an in-depth review of, or introduction to, a topic of interest
- Provide participants with materials and/or ideas that are immediately useful to their IDEA usage
- Provide opportunities for hands-on or collaborative work
We’re open to accepting a variety of topics for all industries, as long as it relates to IDEA usage. In addition, we’re looking for presentations focusing on the following topics:
- Audit analytics in the cloud: pros and cons / desktop vs. the cloud
- Data connectors: new ways to get data into IDEA
- IDEA and Python
- Introducing AI and machine learning to the world of audit analytics and IDEA
- Visualizations and automatic discovery
- Using IDEA beyond audit