• You may score as many candidates as you like from 0 (no support) to 5 (max support).
  • You may give the same score to multiple candidates.
  • The two highest-scoring candidates are finalists.
  • The finalist scored higher by more voters wins.
Vote on "What Monthly Learning Talk Topic would you most like to see?"
BigQuery second round by Sushant Dani
Algorithmic Pricing by Keith Edmonds
Price indicies and partial dependance plots by Hamayun Khan
Poor prediction elimination in Algorithmic Pricing by Joydeep Bhadra
Pricing Insights by Michael Miller
Data Science by Keith Edmonds
MARS with presenter TBD
Tableau and its newest features from external presenter
Territory Management Summary by Kaye Morrison
CDQ Merge Tool by Haeven Kelley and or Seth Engen
Prediction of underperformance by Joydeep Bhadra
End user participation & price realization/MCC Upcoming Auctions Assets by Elaine Siu
STAR Voting and Election Science by Keith Edmonds
Salesforce reports with presenter TBD
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Runoff Matrix
Ballot Record