Development of a Smart Building Data Management and Analytics Platform

The client currently operates primarily as a hardware manufacturer with limited engagement with end customers, relying on third-party deployment and integration. Market research indicates a need to enhance their value proposition by offering data management solutions that support analytics, monitoring, and predictive maintenance. Without such solutions, they face challenges in extending customer relationships, attracting enterprise clients, and increasing recurring revenue streams.

A large manufacturer specializing in IoT sensors and building automation systems seeking to expand into data-driven services for smart building management.

• Accelerate time to market by leveraging existing IoT platform accelerators and reducing development cycle durations.
• Secure at least three new enterprise-level customers within the first year through enhanced software offerings.
• Achieve a targeted 10% increase in annual revenue by introducing subscription-based data management services.
• Enable real-time monitoring, analytics, and alerts for key building metrics such as utility use, occupancy, and environmental conditions.
• Implement energy consumption forecasting to support sustainability and cost optimization strategies.
• Develop a mobile application for end users to monitor building conditions, book resources, and manage occupancy in real time.
• Create flexible monetization models suitable for various customer sizes, ranging from small businesses to large enterprises.

• Device onboarding with configuration, device mapping, and blueprint management.
• Real-time dashboards visualizing statistics, trends, and key metrics for monitoring building utility consumption and occupancy.
• Custom report generation and scenario-based analytics tailored to client-specific business processes.
• Alert system detecting anomalies and threshold breaches for environmental and utility parameters.
• AI-enabled anomaly detection and occupancy forecasting based on historical data patterns.
• Integration modules for third-party data sources, including electricity price feeds, for comprehensive energy cost analysis.
• Energy forecasting capabilities using machine learning models tailored to individual deployment data.
• Remote resource booking via a mobile app allowing end users to reserve office space, equipment, and parking, and monitor occupancy levels.

• Third-party systems providing real-time electricity prices
• Building management systems, environmental sensors, occupancy sensors
• Mobile push notification services for alerts and updates

• System scalability to support deployment of 1,000+ sensors per customer
• High availability and real-time data processing with latency under 2 seconds
• Strong security and data privacy measures complying with industry standards
• Flexible role-based access control tailored for different user groups

The deployment of the data management platform is expected to enable clients to bring new services to market 30% faster, onboard at least three enterprise customers annually, and increase annual revenue by approximately 10%. It will also improve operational decision-making, support sustainability initiatives through energy forecasting, and expand market reach by offering versatile monetization models and mobile access for end users.