Imperfect Foods Centralizes Data Team to Enhance Collaboration and Decision-Making
Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- Snowflake
- dbt
- hightouch
- Fivetran
- Mode
Tech Stack
- Snowflake
- dbt
- hightouch
- Fivetran
- Mode
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Analytics & Modeling - Data-as-a-Service
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Retail
- E-Commerce
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
Imperfect Foods is a grocery delivery service committed to reducing food waste by purchasing groceries that would otherwise go to waste and reselling them to consumers. The company delivers these groceries directly to customers' doors. The data team at Imperfect Foods supports the entire organization, including teams responsible for buying, packing, delivering, and marketing. Adam Smith, the Analytics Manager, plays a crucial role in managing the data team, which initially operated under the product division. The company aims to enhance collaboration and decision-making by restructuring its data team to report to the Chief Financial Officer, focusing on finance and strategy.
The Challenge
Imperfect Foods, a grocery delivery service focused on reducing food waste, faced challenges with its data team structure. Initially, the data team operated under the product division, reporting to the CTO. This setup led to a technology-based workflow where the team responded to ticket requests across the organization. While this system organized requests, it distanced the data team from the teams they served. Analysts received requests from different teams weekly, hindering consistency and knowledge building. The data team was perceived more as a help desk servicing tickets rather than partners in analysis.
The Solution
Imperfect Foods restructured its data team to report directly to the Chief Financial Officer, who oversees finance and strategy. This shift centralized the data team within the organization, moving from a round-robin ticketing system to tightly-linked partnerships between analysts and business teams. Each business team now has a dedicated analyst, allowing for more context and collaboration on projects. The data team meets regularly with business teams to drive the business forward, engaging in an iterative, feedback-based process. This new structure has increased collaboration, trust, and contextual knowledge about data within the organization.
Operational Impact
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