“Dataland is our backoffice. We love it. It brings together all of our relevant data from MongoDB and Postgres into one place, so that we can handle day-to-day customer operations smoothly. If it weren’t for Dataland, we’d probably need to spend weeks in tools like UIBakery, Retool, and BI tools like Looker Studio to get the right shape of the data. That’s time we just don’t have to spare as a fast-growing startup.”
Julian MayCo-founder, Lizza
Overview
Lizza is an innovative startup building a marketplace that connects e-commerce brands with content creators. Their platform aims to help brands find creators that match their target audience while providing creators with a robust monetization platform.
Dataland partnered with Lizza to provide an all-in-one data platform for their operations team. This collaboration enabled Lizza to efficiently access and manage data from multiple sources, significantly improving their workflow efficiency and reducing the need for technical expertise.
The challenge
Lizza faced several challenges in managing their data and operations:
- Data scattered across multiple databases (MongoDB, PostgreSQL)
- Lack of SQL expertise among operations team members
- Difficulty in accessing and joining data from different sources
- Need for a user-friendly back office tool for non-technical team members
- Desire for data visualization and automation capabilities
"We had set up Looker Studio in the past, which is not nearly as user-friendly or powerful in terms of performance as Dataland."Julian May, Co-founder, Lizza
The solution
Dataland provided Lizza with a comprehensive data platform designed for non-technical teams. Key features included:
- Seamless integration of multiple data sources (MongoDB, PostgreSQL)
- User-friendly interface for accessing and joining data without SQL knowledge
- AI-assisted data querying for complex joins and filters
- Ability to read and write data directly from the interface
"It requires you to understand the structure of the tables, which data sits where, and what the connecting IDs are so you can join the data. But it's pretty cool because I don't have time to learn SQL syntax, and I can still use it effectively."Julian May, Co-founder, Lizza
The result
Implementing Dataland led to several significant improvements for Lizza:
- Efficient Back Office: Dataland became Lizza's primary back office tool, allowing easy access to all types of data without involving the technical team.
- Improved Data Access: Team members can now easily access and modify data across multiple databases without SQL knowledge.
- Operational Efficiency: The team can now track campaign progress, follow up with creators, and manage customer data more effectively.
- Time Savings: While specific metrics weren't provided, the ease of use and quick data access suggest significant time savings compared to previous methods or alternatives.
"Being able to access the data and have a back office without involving our tech team is very useful. I appreciate that it's potentially low to no code, so we can really build stuff here."Julian May, Co-founder, Lizza
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