Plugit on their new data warehouse: “The best-run consulting project we’ve experienced”
Plugit is a leading electric vehicle (EV) charging infrastructure company supporting zero-emission transport through innovative solutions. In a company that runs a platform business at the intersection of physical devices and software, having accurate data at your fingertips is vital for efficiently leading the business and communicating with stakeholders. “In spring 2024, Plugit launched a new strategy, where the efficient utilization of data was one of the focus areas of development,” explains Plugit’s Lead Software Architect, Tommi Hagelberg.
What was the challenge?
Previously, Plugit’s data solutions were invented and created ad hoc with different technologies and depending on the needs of the business, which had led to inefficiencies in leveraging business data and scalability issues.
“We have, of course, done various data processing activities earlier, too, but lacked a centralized, systematic approach,” Hagelberg remembers. “Thus, we concluded that our business needed a sustainable, systematic way to manage and utilize data internally and for our clients.”
Our solution
Plugit nominated a work group to address the data challenges. This group would gather the different use cases of data and ultimately establish a robust data warehouse to centralize Plugit’s data management and enhance its organization.
After mapping the data use cases, the team evaluated technologies and tools in the marketplace, ultimately selecting Google’s platform to build the data warehouse and tools for data transfer. As Google’s technology was chosen, Plugit still needed to pick a suitable implementation partner.
The partner selection process almost sounds like a walk in the park for Plugit: “Google’s local team screened and short-listed their suitable partners. They pitched our case to the viable companies and ultimately facilitated our discussions with each of the partner candidates.” Hagelberg smiles.
Why Codento?
Plugit chose Codento as the implementation partner due to Codento’s deep understanding of the project’s requirements and ability to provide a concrete, actionable plan. According to Tommi Hagelberg, Codento stood out among potential partners for several reasons. “Codento’s team clearly understood our needs, and we got to the same wavelength from the start. Codento also provided the most concrete proposal on how they would execute the project,” Hagelberg recalls.
What were the results?
Tommi Hagelberg describes the collaboration with Codento as effortless and relaxed but, at the same time, focused and goal-oriented. “From the beginning, it was clear what needed to be done. Our new analytical data warehouse was established within a few months despite the summer holidays.” He even gives Codento a rare credit: “From a software point of view, this was the best-run consulting project our team had ever participated in.”
An important starting point for Plugit in the entire collaboration was that the project should provide Plugit’s own experts with the tools and best practices they needed to continue transferring and managing data independently. “We absolutely wanted this project to transfer the know-how to our own teams so that we can continue working with this new technology independently. This required an efficient knowledge handover from the partner to our experts, which Codento also delivered impeccably.”
While Plugit continues to collect data from various operational sources to its new data warehouse with in-house resources, Hagelberg rejoices at the connection they now have with Codento: “Whatever new Google Cloud data tools or technologies we look to deploy in the future, we know we can find the skilled experts from Codento.”
Google technology | Usage in Plugit’s case |
Dataflow | Integration for data imports |
BigQuery | Data storage and processing |
Dataform | Defining the tables and SQL queries to run against BigQuery |
Terraform | Setting up the infrastructure |
Contact us to learn more about our services: