DoorDash Logs a 30% Increase in Queries while Keeping the Snowflake Cost Constant with Sigma
Customer Company Size
Large Corporate
Country
- United States
Product
- Sigma
- Snowflake
Tech Stack
- SQL
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Software
- E-Commerce
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Software Design & Engineering Services
- System Integration
- Training
About The Customer
DoorDash is a technology company that connects consumers with their favorite local businesses in 27 countries worldwide. Founded in 2013, DoorDash builds products and services to help businesses innovate, grow, and reach more customers. The company is focused on building infrastructure for local commerce, enabling merchants to thrive in the convenience economy, giving consumers access to more of their communities, and providing work that empowers. DoorDash partners with over 550,000 merchants and has over 25 million consumers using the platform each month. As a lean, data-first, and high-growth company, DoorDash aims to become the leading local commerce platform that people can turn to for all goods.
The Challenge
DoorDash faced significant challenges with dashboard management and scalability. The existing processes were not conducive to scaling analytics efforts smoothly due to performance and connectivity limitations posed by traditional BI tools. The cost of per-person licenses was high, limiting access and making it difficult to share dashboards and reports with a wider audience. This situation left much to be desired by both creators and consumers of the dashboards. In 2021, Andrew Huynh, Senior Business Intelligence Engineer, and his team at DoorDash began searching for a new BI platform to build a self-service analytics environment and democratize dashboard creation. They evaluated Sigma along with other vendors and ultimately chose Sigma because DoorDash lacked enough data engineers to model and prepare data for all end users, which was a requirement for other tools.
The Solution
Once DoorDash chose Sigma, Andrew and his team spearheaded the implementation, migration, and creation of existing dashboards on the DoorDash side. They rebuilt over 5,000 dashboards in Sigma and onboarded over 30,000 users to the platform. Sigma’s engineers and onboarding team worked closely with DoorDash for a seamless transition through this unprecedented scale of migration. All onboarded users had access to training videos, tutorials, and content tailored to their analytics needs. A community of users was created with open communication, troubleshooting, and support through a shared Slack channel. With Sigma, DoorDash simplified its analytics by reducing the time, costs, and complexity of writing custom SQL. The company saw a 25-30% increase in queries while keeping Snowflake costs constant. Sigma enabled DoorDash to democratize data across the organization, increasing transparency, collaboration, and decision-making. The company could determine which dashboards were essential and decommission others, providing more clarity. Real-time reporting and scheduled exports allowed DoorDash to automate reporting and enable vendors and merchants to self-serve and generate insights. Sigma's role-based permissions ensured GDPR compliance and audit controls for partners, vendors, and affiliates.
Operational Impact
Quantitative Benefit
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