Case Studies Inovonics Leverages Redis Enterprise on Google Cloud Platform to Launch Its New IoT Data Analytics Products

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	Inovonics Leverages Redis Enterprise on Google Cloud Platform to Launch Its New IoT Data Analytics Products

Inovonics Leverages Redis Enterprise on Google Cloud Platform to Launch Its New IoT Data Analytics Products

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics Infrastructure as a Service (IaaS) - Virtual Private Cloud Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Education Healthcare & Hospitals
Applicable Functions	Facility Management Maintenance Quality Assurance
Use Cases	Intrusion Detection Systems Machine Condition Monitoring Predictive Maintenance Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services Data Science Services System Integration
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Infrastructure as a Service (IaaS) - Virtual Private Cloud

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Education

Healthcare & Hospitals

Applicable Functions

Facility Management

Maintenance

Quality Assurance

Use Cases

Intrusion Detection Systems

Machine Condition Monitoring

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

Data Science Services

System Integration

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.

About 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.

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.

Impact #1	Inovonics successfully centralized its previously siloed data, enabling advanced analytics and new product offerings.
Impact #2	The adoption of Redis Enterprise VPC on Google Cloud Platform reduced operational overhead, allowing the IT team to focus on analytics.
Impact #3	The NoSQL structure of Redis Enterprise provided simplicity and control over hierarchical data, enhancing data management.

Impact #1

Inovonics successfully centralized its previously siloed data, enabling advanced analytics and new product offerings.

Impact #2

The adoption of Redis Enterprise VPC on Google Cloud Platform reduced operational overhead, allowing the IT team to focus on analytics.

Impact #3

The NoSQL structure of Redis Enterprise provided simplicity and control over hierarchical data, enhancing data management.

Benefit #1	Inovonics deployed over 10 million devices globally.
Benefit #2	The company collects millions of daily messages from its sensor networks.
Benefit #3	Redis on Flash reduced the need for expensive RAM by storing cold data in cost-effective Flash.

Benefit #1

Inovonics deployed over 10 million devices globally.

Benefit #2

The company collects millions of daily messages from its sensor networks.

Benefit #3

Redis on Flash reduced the need for expensive RAM by storing cold data in cost-effective Flash.

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Overview

Inovonics Leverages Redis Enterprise on Google Cloud Platform to Launch Its New IoT Data Analytics Products

Operational Impact

Quantitative Benefit