CASE STUDY — ENERGY& Manufacturing
IOT – Digital Twins
Advancing urban energy management with a unified data platform
Sector:
Energy & Manufacturing
Focus:
IoT Energy Management Platform
BUSINESS CHALLENGE
Fragmented energy data blocking net-zero decisions
Achieving net-zero emissions required integrating vast energy data. Fragmented data hindered comprehensive analysis. The lack of advanced visualization tools made it difficult for stakeholders to make informed decisions on energy efficiency.
SOLUTION IMPLEMENTED
A unified IoT energy management platform for smart meter data
Implemented an IoT-enabled platform that integrates millions of smart meters into a centralized data lake. Applied custom schemas and ontologies for semantic understanding, integrated geospatial data for advanced visualization, and enhanced data accessibility through reports, APIs, and digital twins.
TECHNOLOGY
Built to centralize, visualize, and govern urban energy data at scale
DATA PLATFORM
Azure Data Lake & Synapse
Centralizes data from real-time IoT streams and batch sources, supporting large-scale energy data integration and analysis.
SERVING
Power BI
Delivers advanced analytics and interactive visualizations, including digital twin views, for clear stakeholder insight.
GOVERNANCE
PURVIEW
Ensures data quality, scalability, and compliance via custom schemas, ontologies, and robust data management.
Results & ROI
What changed once the platform went live
ENERGY OPTIMIZATION
Comprehensive insight into consumption patterns, the basis for cutting costs.
OPERATIONAL EFFICIENCY
Streamlined data integration enables timely analysis and reduced complexity.
SUSTAINABILITY
Trusted, accessible data empowering teams to drive net-zero initiatives.
