Join us for a two-week hack as we explore the power of data validation and enrichment services in physical store location planning. Winner receives $1000!
Perhaps nothing impacts the success or failure of a business more than location. The socio-demographic factors that influence crucial location decisions are so complex and intertwined we’ve reached a point where the most efficient methods involve at least some level of AI/ML — and that level is growing. We recognize the struggle many retailers have accessing the most tech-forward methods and are excited by the power of data enrichment and its potential to disrupt the status quo.
Blueprint, a global digital transformation firm, and Precisely, the leader in data integrity, invite all intrigued data scientists, engineers and enterprise teams to apply today. If accepted, you’ll have the chance to work with a bespoke enriched dataset provided by Precisely and build the tools to power location-based insights in new and amazing ways.
Optional: BYOD! We invite you to bring your own real-world dataset so you can provide your organization with a custom solution following the hack.
LEARN MORE ABOUT THE HACKATHON:
POWERING INSIGHTS WITH ENRICHED DATA AND AI
Elevate, learn and explore the role data validation and enrichment services can play in enabling data-driven business decisions. With Precisely’s rich set of geo-enriched data, participants will test their data science abilities to design a tool that identifies socio-demographic trends that affect business and business development today.
WORKING APPROACHES / OBJECTIVES
Participants will set up the analysis environment and enrich a provided dataset using Precisely and Databricks. Examples of enrichment include physical traffic data, Census/ACS data and social data.
Using the enriched dataset created in Part 1, participants will develop an algorithm that predicts the precise geographic location where the company they’ve chosen to work with should open another physical location.
Participants will provide specific details to support the algorithm location predictions from Part 2. For example, what is the predicted revenue/profitability of the new location? What are the anticipated hiring requirements for the recommended site?
WHO SHOULD PARTICIPATE
THIS IS AN INVITATION / APPLICATION-BASED HACK
Individuals and teams (maximum of 3 people to a team) are encouraged to apply to be a part of the hackathon. We are looking for individuals and teams who are:
- Data engineers
- Data scientists
- Enterprise teams
- People who have skills in:
- Data platforms & warehouses (Databricks, Snowflake, etc.)
Applications are due by September 30, 2021 @ 11:59PM PST
HACKATHON 2021 PRIZE
$1000 VISA GIFT CARD FOR FIRST PLACE
Your submission must consist of:
- Submission form: Complete the hackathon submission form to describe your idea, implementation and potential impact use cases. Also include this in the README file in your GitHub repository.
- Code: A URL to publicly-accessible GitHub repository containing your notebook and supporting code files.
- Video: Provide a link to a video walk-through of your project (less than 5 minutes) demonstrating its real-world application.
Our judging panel will be announced shortly.
Impact of solution design and use in practical real-world scenarios.
How was the technology utilized by the individual/team to solve the challenge? Solutions displaying creative technique and efficient utilization of given software will receive additional points.
Is the project built with modularity and reusability in mind? How adaptable is it for future application across multiple industries?
Does the solution comprehensively address the problem it sets out to solve? Were all goals set by the team accomplished and on time?
Has this solution been used before? How is it different from existing available products on the market?