case study

Elevating Social Housing Management with DigyCorp’s Digital Twin and DCNexus Platform

Client Overview

A leading social housing provider, serving thousands of tenants, sought an advanced solution to improve property management, enhance tenant satisfaction, and reduce maintenance costs across its large portfolio of residential units.

Challenge

The housing provider faced challenges with reactive maintenance, limited insight into property conditions, and tenant dissatisfaction due to delayed repairs and upkeep. They required a solution that could enable proactive management, monitor property health in real-time, and streamline communication among property managers, contractors, and tenants.

  • Inaccurate Renewable Forecasting: The dynamic and unpredictable nature of wind generation led to inefficiencies in power distribution and underutilization of renewable resources.
  • Grid Balancing: With increasing volumes of renewable energy, NGESO needed more advanced tools to balance supply and demand in real time.
  • Cross-Border Trading: NGESO also faced the challenge of integrating power supply with European energy markets, needing real-time data and better predictive capabilities to manage interconnector cables and ensure smooth cross-border electricity trading.

These pain points were critical, as inefficiencies in forecasting and real-time decision-making would affect the country’s renewable energy utilization and increase dependence on fossil fuels.

The Solution

DigyCorp’s Digital Twin and DCNexus Machine Learning Platform provided a comprehensive view of each property in a live, digital format, enabling real-time monitoring of asset health, predictive maintenance, and automated workflows and significantly improved tenant satisfaction. This proactive approach helped the client address potential issues before they impacted tenants and streamlined maintenance requests through secure, shared data and collaboration spaces for all stakeholders.

Outcomes

  • Enhanced Monitoring and Control: Real-time insights and data analytics enabled Rotork to monitor actuator performance remotely, improving operational efficiency.
  • Scalable Platform for Future Growth: The solution was built to accommodate additional edge devices and digital services, allowing Rotork to expand its IoT capabilities without requiring significant system overhauls.
  • Secure, Reliable Data Transmission: Encryption and security protocols ensured the safe transmission of sensitive data, building trust and reliability in Rotork’s IoT services.
  • Improved Customer Engagement: With an accessible user portal, customers and Rotork personnel could seamlessly interact with the system, monitor assets, and make timely adjustments, enhancing customer satisfaction and engagement.

Client Feedback

“DigyCorp’s Digital Twin platform transformed our approach to property management. We’re now able to anticipate issues, respond faster, and significantly improve our tenants’ experience.”

Director of Property Management

Key Takeaways

  • Increased Efficiency: Predictive maintenance reduced emergency repairs, allowing maintenance teams to prioritize tasks and minimize disruptions to tenants.
  • Enhanced Tenant Satisfaction: Real-time property monitoring enabled faster responses to issues, resulting in improved tenant safety and satisfaction.
  • Optimized Asset Management: The Digital Twin provided detailed insights into property health, helping managers allocate resources effectively and extend the lifespan of assets.

Key Metrics

45%

Reduction in emergency maintenance costs

25%

Increase in tenant satisfaction scores

35%

Improvement in asset lifespan through proactive maintenance

50%

Faster response times to maintenance requests

Discover how DigyCorp’s Digital Twin and DCNexus solutions can enhance property management efficiency, boost tenant satisfaction, and streamline operations for your housing portfolio.

Contact us today to learn more about transforming your approach to smart housing.

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