Technology Category
- Functional Applications - Warehouse Management Systems (WMS)
- Other - Battery
Applicable Industries
- Automotive
- Renewable Energy
Applicable Functions
- Sales & Marketing
- Warehouse & Inventory Management
Use Cases
- Picking, Sorting & Positioning
- Time Sensitive Networking
Services
- System Integration
About The Customer
Wallbox is a company that creates advanced electric vehicle charging and energy management systems. Launched in 2015, the company aims to change the way the world uses energy. In just seven years, Wallbox has established commercial offices globally, grown to approximately 1,250 employees, and set up four manufacturing centers on three continents. Initially, Wallbox focused on solving electric vehicle charging needs for domestic users. However, it has since diversified its market to include businesses and the public. The company is transitioning from being solely product-centered to selling a service, offering a charger monitoring and operation service with pre-established service-level agreements.
The Challenge
Wallbox, an electric vehicle charging and energy management company, faced a significant challenge in managing its data. Since its inception in 2015, the company experienced rapid growth, expanding from 50 to over 1,000 employees in a short span of time. This growth led to an increase in the number of tools and applications used across different departments, resulting in data silos that hindered insight and quality control. The company's data was scattered across various platforms, making it difficult to trace and resolve quality issues. Additionally, the business logic embedded in the dashboard was complex to evolve. Another challenge was the regular updating of tools required for custom integrations, which proved to be a costly and time-consuming process. Wallbox needed a solution to break these silos and consolidate all its data in a single, easily accessible location.
The Solution
To address its data management challenges, Wallbox turned to Fivetran, a provider known for its reliability and extensive range of connectors. The company designed a modern data stack centered around a cloud data warehouse, choosing Snowflake as its corporate data warehouse and dbt as its modeling tool. This setup allowed Wallbox to perform extract, load, transform (ELT) operations, transforming data within the data warehouse itself. The implementation of this solution enabled Wallbox to have its first data platform up and running in a few months, facilitating growth in a more scalable way. The integration with Fivetran allowed Wallbox to consolidate between 30 and 40 data sources, significantly increasing the volume and value of the data in its warehouse.
Operational Impact
Quantitative Benefit
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