At Alteryx, we’ve long been fans of learning and innovating through competition. From our decade old annual Grand Prix, to the Broomfield Innovation Days, to running and participating in data challenges and hackathons – as with sport, we feel that a little friendly competition can bring out the best in us.
More and more we’ve seen Alteryx users around the world embracing this ideology, as well. Organizations that dedicate time and resources to internal hackathon-like events see many benefits:
We’ve seen many customers succeed with these types of events. Many others, however, don’t know where to begin. To that end, we present the Data Challenge Playbook, accompanied by a series of Competition Templates.
The Data Challenge Playbook goes over three different possible formats for your competition, each with different goals and time commitments:
Read the Playbook to get a taste of what’s possible for your organization with a competitive data event.
To help you get started, we’ve paired the Playbook with templates and examples for each type of competition.
The Hackathon Template is a document that includes a sample goal, agenda, and other suggestions on how to pull off a successful data challenge. Simply replace the sample goal with the biggest data analytics challenge facing your organization today, and you’re on your way.
For The Grand Prix, find below several sample data challenges, sourced from Alteryx Academy weekly challenges. These challenges are very similar to the ones we give contestants on stage each year at our Inspire user conference.
Challenge | Type | Difficulty |
Settle the Score | Data Analysis | Beginner |
Credit/Debit Midpoints | Data Analysis | Intermediate |
Market Overlap | Spatial Analysis | Intermediate |
Solving the Knapsack Problem | Optimization | Advanced |
And for The Kaggle, download this sample workflow that poses a hypothetical prediction problem, and includes a macro to measure the challenger’s accuracy on a holdout sample. At the end of the competition, highest accuracy wins! Adapt this workflow to a hard prediction problem your organization is facing.
We hope that with these resources you can encourage your data workers to take their skills to the next level and spread a fever of innovative spirit throughout your organization.
Olivia Duane Adams (Libby) is the chief advocacy officer (CAO) and co-founder of Alteryx, and one of only a handful of female founders to take a technology company public, along with her founding counterparts, Dean Stoecker and Ned Harding. Libby’s vision and leadership in the creation of the world’s leading data science and analytics community is a key factor in the company’s 24-year success. She is responsible for strengthening upskilling and reskilling efforts for Alteryx customers to enable a culture of analytics, scaling the presence of the Alteryx SparkED education program and furthering diversity and inclusion in the workplace.
Olivia Duane Adams (Libby) is the chief advocacy officer (CAO) and co-founder of Alteryx, and one of only a handful of female founders to take a technology company public, along with her founding counterparts, Dean Stoecker and Ned Harding. Libby’s vision and leadership in the creation of the world’s leading data science and analytics community is a key factor in the company’s 24-year success. She is responsible for strengthening upskilling and reskilling efforts for Alteryx customers to enable a culture of analytics, scaling the presence of the Alteryx SparkED education program and furthering diversity and inclusion in the workplace.
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