Case study
Advanced Analytics Platform for Energy Data Processing
The Problem:
The client relied on an outdated system for analyzing power-quality and energy-generation data. The legacy system experienced slow performance, limited analytics flexibility, and difficulty handling large datasets.
Our Solution:
We delivered a modern web platform that processes large volumes of energy data and visualizes results through customizable dashboards, supporting faster and more accurate decision-making.
Technology Stack:
Key Results & Value:
- Up to 2× faster data processing performance for large datasets
- 30-50% improvement in usability and dashboard interaction speed
- Up to 60% faster access to long-term analytics and reports
- Full replacement of the legacy system with a scalable architecture
About Our Client:
Our client specializes in energy monitoring, power quality solutions, and analytics for large-scale electrical systems.
The Challenge:
The project required a system capable of processing and visualizing large volumes of energy data collected over several years.
Key challenges included:
- Handling millions of data points efficiently
- Ensuring fast calculations for complex analytics
- Providing flexible visualization tools for different use cases
- Replacing a legacy system without losing functionality
The primary challenge was to ensure data was not only stored, but also accessible, fast, and easy to interpret.
Solution Overview
We developed a web-based analytics platform focused on performance, flexibility, and scalability.
Key capabilities:
- Customizable Dashboards
- Users can create dashboards with a range of widgets tailored to their needs.
- Flexible Data Configuration
- Each widget can be configured based on:
- data source (devices)
- calculation logic
- time range
- visualization format
- High-Volume Data Processing
- The system efficiently processes large datasets, including multiple years of historical data.
- Modern UI & UX
- The platform offers a clean, intuitive interface that simplifies complex analytics.
Business Impact
- Replaced the legacy system with a faster, modern platform.
- Improved end-user usability and data accessibility.
- Enabled efficient analysis of large-scale energy datasets.
- Received positive feedback from client leadership after release.
Although the product is in early adoption, it already provides a strong foundation for scalable analytics and future growth.
Michael Babylon
Sales Director, Europe
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