Learn how a leading European energy group partnered with RNX to break down legacy data silos and build a centralized, modern analytics platform powered by Microsoft Azure. The solution enabled faster insights, greater agility, and more informed business decision-making.
Key Results
The Problem
The client's operations were slowed down by fragmented data environments and manual reporting workflows, slowing down critical business actions.
The Friction
Over-reliance on outdated legacy systems required time-intensive data consolidation from conflicting sources, which jeopardized data integrity and organizational agility.
The Solution
RNX deployed a unified architecture featuring automated data pipelines and robust dimensional modeling, fueling dynamic business intelligence (BI) tools.
As a leading European enterprise with an expansive European presence, the client recognized an urgent need to modernize its data infrastructure to optimize operational efficiency and fast-track decision-making.
In a close collaborative effort with RNX team, the company successfully replaced its decentralized, manual data collection routines with an enterprise-grade analytics platform. This foundation ensures high data availability and delivers real-time analytical capabilities directly to business users via interactive BI dashboards.
The client is a leading European energy infrastructure group operating across 28 markets with 9,500+ employees. With decades of expertise, they manage 14 GW of renewable capacity and 85+ diverse assets - spanning wind, solar, hydro, storage, and green hydrogen - across Germany, Denmark, Spain, the Netherlands, Poland, and the Nordic region. Today, they continue to drive Europe’s energy transition through heavy investment in carbon-neutral infrastructure and grid modernization.
Despite the impressive scale of their international operations, the client's reporting and data retrieval mechanisms remained highly localized and difficult to manage. Teams relied heavily on outdated software and manual spreadsheets just to pull together basic company-wide metrics. This labor-intensive approach was highly susceptible to human error, created dangerous data inconsistencies, and ultimately delayed leadership's ability to make rapid, well-informed choices.
To solve these challenges, the new architecture introduces three critical technology categories:
The primary goal of this initiative was to engineer a cutting-edge data platform that simplifies, secures, and centralizes access to corporate information. Key project requirements included:
RNX team conducted a comprehensive evaluation of the client's existing IT ecosystem and implemented a robust, multi-faceted data engineering framework:
Modular Data Ingestion
Engineered reusable data ingestion modules using serverless functions and optimized SQL scripts to capture diverse data streams.
High-Velocity Indexing
Integrated Elasticsearch to enable rapid, real-time querying across massive unstructured text datasets and historical logistics logs.
Infrastructure Observability
Deployed New Relic across the entire platform to continuously monitor platform health, automate error detection, and guarantee maximum platform uptime.
Data Democratization
Optimized the finalized data warehouse layers for seamless exploration within corporate BI Tools, empowering users with dynamic, self-service analytical capabilities.
Automated Transformations
Constructed end-to-end data transformation pipelines.
Orchestrated Workflows
Unified and scheduled data processes using automated workflow managers.
Modern DevOps Practice
Standardized environment deployments and CI/CD workflows using Infrastructure as Code.
Data Governance & Quality
Integrated specialized data monitoring sensors to ensure ongoing data quality, compliance, and trustworthiness.
BI Readiness
Formatted and optimized data layers for seamless exploration within frontend reporting tools.
The transformation was executed utilizing a highly structured, phased roadmap:
Throughout the project lifecycle, transparent communication loops and agile syncs between RNX and the client team ensured potential bottlenecks were resolved immediately.
By laying down the architectural foundations of a highly scalable data platform, RNX successfully unified the company's data assets into a single centralized data hub. This strategic implementation delivered clear, measurable improvements to the company's operations:
In alignment with the company's long-term digital strategy, upcoming initiatives will focus on:
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