Inovonics Leverages Redis Enterprise on Google Cloud Platform to Launch Its New IoT Data Analytics Products
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Redis Enterprise VPC
- Google Cloud Platform
- Redis on Flash
- Google Kubernetes Engine
Tech Stack
- NoSQL
- Kubernetes
- Machine Learning
- Time Series Data
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Virtual Private Cloud
Applicable Industries
- Healthcare & Hospitals
- Education
Applicable Functions
- Facility Management
- Maintenance
- Quality Assurance
Use Cases
- Predictive Maintenance
- Intrusion Detection Systems
- Machine Condition Monitoring
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
Inovonics is a prominent provider of high-performance wireless sensor networks, specializing in life safety applications across various sectors including healthcare, education, government, banking, multifamily housing, and senior living. With over 10 million devices deployed globally, Inovonics has access to a unique and extensive dataset. The company has a 30-year history of delivering wireless technology solutions and has recently shifted focus to harnessing big data for advanced analytics. This transition aims to provide customers with valuable insights and enhance the company's product offerings.
The Challenge
Inovonics, a leader in wireless sensor networks for life safety applications, faced the challenge of harnessing the vast amounts of data collected by its devices. The data was previously siloed, limiting its potential for actionable insights. The company needed a robust data platform to centralize this data, reduce operational overhead, and provide high performance and resiliency. Additionally, Inovonics sought to leverage this data for new product offerings, such as predictive maintenance analytics and insights into security risks, while minimizing the operational footprint and costs.
The Solution
To address its challenges, Inovonics adopted Redis Enterprise VPC from Redis Labs, hosted on Google Cloud Platform (GCP). This solution allowed Inovonics to centralize its data, enabling advanced analytics and reducing operational overhead. Redis Enterprise's compatibility with GCP and its fully managed operations allowed Inovonics' IT team to focus on analytics rather than infrastructure maintenance. The NoSQL structure of Redis Enterprise provided simplicity and control over hierarchical data, while its high performance and elastic scalability were crucial for handling large volumes of data from millions of sensors. Additionally, Redis on Flash enabled cost-effective data storage and processing, and native Kubernetes support on GCP facilitated a container-centric cloud environment, further simplifying infrastructure management.
Operational Impact
Quantitative Benefit
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