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Manny and I want to go on a Foodcation, but how are we going to pick the best city to visit? We have to consider Manny’s city ratings and vegetarian demands, my inability to stand in a line, and the anti-car sentiments of a last-minute tag-along to our trip. Only one analytics program can help us crunch the numbers and select our destination… Check out the Alteryx solution developed with the help of the Denver User Group Grand Prix team and some adroitly deployed macros, the Spatial Info tool, predictive grouping, heat maps, Throttle, a Weather Underground API, and more!
Mateo, Manny and Vinh are planning a Foodcation! Follow the conversation as they use Alteryx to combine, calculate, analyze, and predict where the ultimate Foodcation destination can be found. Then use the same data but with your own rankings and priorities to find the perfect spot for your next trip!
The 3rd problem of the Alteryx Grand Prix this year was to create an optimal set of sales territories for 5 existing sales offices. In order to judge the results, contestants were provided a scoring macro that returned a score based on the set of states they picked for each sales office. The competitors were asked to create a module that returned a better score.