AI & MACHINE LEARNING
BESPOKE DATA VISUALISATIONS
CUSTOM SOFTWARE DEVELOPMENT
CLOUD & OPERATIONS
DATA & ANALYTICS
EMBEDDED & ENGINEERING
IOT & CLOUD
By 2023 96% of new solar and wind power installations were more cost-competitive than traditional coal and gas plants. As the business case for renewables strengthens, utilities are increasingly relying on data platforms to optimise operations and manage energy transitions efficiently
The renewable energy share of global electricity generation is set to exceed 42% by 2028, with solar and wind driving 95% of this growth
A leading Swedish energy company depended on an analytics system using Data Vault methodology on Azure SQL Database, supported by data marts and Power BI. However, as data demands grew, the company struggled to maintain the system due to limited in-house Data Vault expertise. This led to data inconsistencies and extra maintenance, as teams were forced to create their own data marts from raw data, compromising system reliability. It became clear that a more scalable, robust solution was essential to keep up with increasing data needs and regulatory requirements.
The company faced a series of technical and operational roadblocks in its quest for seamless, data-driven insights:
Technical Limitations
The lack of Data Vault expertise made troubleshooting difficult and undermined confidence in analytics accuracy.
Scalability Bottlenecks
Although cloud-hosted, the platform lacked Massively Parallel Processing (MPP), resulting in performance slowdowns and storage constraints.
Compliance Risks
New regulations required data reporting at 15-minute intervals instead of hourly, resulting in a fourfold increase in data volume.
Hybrid Storage Needs
Certain datasets needed to stay on-premise due to compliance, creating an additional layer of complexity.
The goal was to create a scalable, future-proof platform that seamlessly integrated cloud and on-premise storage, enabled high-performance data processing, and easily adapted to regulatory changes.
To overcome these challenges, Holisticon (Nexer) introduced a future-ready, lakehouse-based data platform built on scalable MPP technology. This platform supports everything from standard reporting to advanced AI/ML applications.
Modernised Architecture
Azure Databricks and Azure Data Lake Storage Gen2 provide a scalable foundation, allowing seamless handling of massive datasets.
Custom On-Premise Storage
A SQL Server solution was deployed for data that needed to be stored on-site, with filtered data uploaded to the cloud.
Streamlined Development
Separate environments (dev, test, and production), code repositories, and CI/CD pipelines through Azure DevOps ensured smooth operations.
Simplified Transition
Power BI reports were gradually migrated, allowing the company to phase out the old platform without service interruptions.
Centralised Data Warehouse
Key data was centralised in a normalised model, making it easier for teams to build resilient, tailored data marts for reporting.
The new platform drove significant operational improvements and enabled strategic flexibility:
Unmatched Performance
MPP technology ensured the smooth processing of vast data volumes, eliminating bottlenecks.
Real-Time Compliance
IoT solution enabled 10-15 minute meter readings, processing millions of rows daily to meet evolving regulatory standards.
Smarter Analytics
ML models improved predictive maintenance and electricity load forecasting, generating significant cost savings.
Inspired by our success stories? Contact us today to discover how our cutting-edge solutions can enhance operational efficiency and improve business outcomes.