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Data integration and data refinement for a 360-degree view
360-degree view of the digital enterprise
The future of mobility is electric – Digital Charging Solutions GmbH (DCS) develops digital charging solutions for car manufacturers and fleet operators, making it one of the key global drivers of the shift to electromobility. Their white label solutions provide access to a comprehensive network of charging points and enable drivers of electric vehicles to find, use and pay for public charging stations worldwide in an easy and seamless manner. doubleSlash has accompanied DCS since it was founded in 2017 as an IT service provider and end-to-end product partner. With their DataSaurus system, DCS has created a central, scalable storage solution for structured and unstructured data providing a 360° view of its entire data ecosystem. The solution is continually being improved and expanded to include new data sources and opened up to new user groups.
Understanding data, making better decisions, leveraging efficiency potential
For a functioning business model, DCS needs to know how your charging points are used and how the resulting costs are billed. In the past, there was a legacy system that was not optimally structured. As a result, maintenance and expansion were limited. The desired 360-degree view was not possible.
The aim of the joint project is to consolidate and process all relevant data by connecting the various systems in the DCS ecosystem and to make it available on a user-specific basis. Together with DCS, doubleSlash implemented these requirements in a scalable and sustainable “DataSaurus” system solution.
By combining data from previously isolated sources, DCS gains a more complete picture of its customers, products and product usage. This will be possible in the future:
- A better understanding of the data and its correlations.
- Data-supported, rapid decision-making.
- Traceability and measurability of implemented measures.
- Generating added value, e.g. by increasing customer loyalty and market share as well as increasing sales.
DataSaurus: Data-driven efficiency and privacy by design
During the initial development of the DataSaurus system, the first potential savings were identified and leveraged through post-processing. The sustainable system architecture has significantly improved the performance of existing evaluations and made certain evaluations possible in the first place. DataSaurus is GDPR-compliant. The privacy by design approach was considered and implemented from the outset.
- DataSaurus now provides data for the Finance, Marketing, Product Management and Support divisions - and the number is growing all the time.
- The data provided can be used by the divisions for their own, more in-depth analyses.
In doubleSlash, we have found a partner who understands the tools of the trade in the field of data-driven services and takes end-to-end responsibility for our DataSaurus product. The focus of the work is always on the customer, end user and business value. The small difference for me: I appreciate the solution-oriented and trusting cooperation with the doubleSlash team and its diverse competencies. We work together, but we also celebrate success together - that welds us together. – Robyne Pelwan, Product Owner DataSaurus, Digital Charging Solutions GmbH
The DataSaurus for sustainable system architecture
Building sustainable system architecture based on data staging and data zones

Our services
- Exploration of the basic architecture and implementation of a proof of concept
- Analysis and structured collection of existing data sources such as customer master data, product usage data, product infrastructure data, billing data, marketing data (tracking, website, voucher codes, and so on)
- Design of sustainable system architecture based on data staging and data zones
- Technology evaluation and evolution
- Ongoing agile implementation of system components from conception to production readiness
- Setup and configuration of infrastructure components based on Microsoft Azure (automation using Terraform and other automation technologies)
- Agile requirements and project management
Technologies used:
- Java
- Spring Boot, Spring Data
- Azure AppService
- AZ Managed PostgreSQL
- AZ BlobStorag
- AZ Cognitive Search
- AZ DevOps Pipelines
- AZ AppInsights
- Terraform