Success Stories

Data Edge worked closely with LF Fondliv to create a strategy for harnessing the potential of analytics to generate tangible business value. Our team developed a clear plan for utilizing analytics and, after the strategy was in place, we played a pivotal role in driving its implementation and delivering successful use cases that delivered substantial financial benefits to the organization.

Data Edge assisted a leading mobile game company in enhancing the structure and reporting of game data. The project involved improving processes for reporting A/B test impacts, aligning definitions within the organization, and working closely with leadership and key stakeholders. To reduce manual labor, improve data quality, and ensure consistency in reporting, Data Edge led automation projects using Looker, BigQuery, and SQL modeling. As a result, the company was able to make more informed decisions based on accurate and organized data.

Data Edge was engaged by Fagerhult to build a modern data platform for sales and financial reporting. The project involved setting up consolidated reporting for three separate brands. Our team used cutting-edge technologies such as Azure, Terraform, dbt, and Power BI to design a robust and integrated platform that meets the demands of the business. With this platform in place, Fagerhult can access their data with ease and make data-driven decisions that are critical to their success. The solution we provided has helped Fagerhult achieve a new level of insight into their business and has laid the foundation for further growth and innovation.

Data Edge was recommended by EQT Ventures to support the management team of Volt.io in their efforts to establish a robust and sophisticated data strategy, as well as implement a modern data platform on AWS. Our team leveraged best-of-breed technologies, including Airbyte, Snowflake, dbt, and Looker, to create a solution that would meet Volt.io's evolving needs and drive their data-driven initiatives forward. With our deep expertise in the latest data management practices and technologies, we worked closely with Volt.io's management team to define a clear vision and road map for their data platform.

Data Edge was commissioned by Telge Energi to enhance their emphasis and competencies in the realm of data and analytics by appointing a Chief Data & Analytics Officer to their executive leadership team. In collaboration, we assisted in elevating their capabilities by establishing a robust analytics team, spearheading innovative use cases, and establishing well-defined metrics to drive business impact.

Data Edge was engaged to provide an interim solution and lead the data team through a period of transformation. Our objective was to establish an enabled analytics organization and enhance fundamental data capabilities. To fulfill this objective, we implemented several key initiatives, including the recruitment of skilled data engineers, establishment of a modern dbt framework, and implementation of a streaming data ingestion system. These efforts ultimately enabled Trustly to adopt a data mesh operating model and bolster the capabilities of their Business Intelligence and product analytics teams.

Our team has devised a cutting-edge data platform that facilitates both reporting and advanced analytics, utilizing the latest software methodologies. The platform is constructed on the Databricks platform and incorporates Delta Lake and dbt, enabling us to effectively manage streaming data while enhancing the necessary data sharing capabilities for regulatory compliance.

Data Edge was engaged to support in making data-driven pricing decisions. To support their growth in this area, we defined a comprehensive approach that involved data discovery and exploration, the creation of an optimization model, and the presentation of pricing optimization dynamics to leadership and stakeholders. Additionally, we suggested updated prices based on an exploration versus exploitation pricing strategy, balancing the need to maximize profit with the desire to understand price elasticity.

Data Edge facilitated the transition towards data-driven decision-making by implementing a comprehensive transformation initiative. This involved the establishment of a new analytics division and the execution of prioritized use cases with a focus on realizing business value. A noteworthy accomplishment was the implementation of large-scale anomaly detection for several heating plants. This led to the early detection of critical malfunctions, resulting in significant savings of over 25 million SEK.