Carlisle Construction Materials Improved Quality Control
IoT data analysis capabilities help Carlisle live up to its reputation as a customer service leader while improving processes for frontline workers
Carlisle Case StudyWhat is IoT analytics?
IoT analytics is the analysis of data generated from connected devices. The true value of IoT solutions lies in the data. Every connected device can generate thousands—or even millions—of data points every day. Contained in that IoT data are the answers to business problems, diagnoses for machine failures, and even predictions for the future.
The analytics process can be simplified into three steps: first, capture and process data; next, apply logic to the data to unlock value; and finally, produce insights to enhance decision-making and operations across the enterprise.
How does IoT analytics work? Make your IoT data work for you
IoT analytics is central to digital transformation. High-speed IoT data acquisition is combined with simplified access to required contextual information along with artificial intelligence and machine learning capabilities. The insights derived from this powerful combination provide unprecedented opportunities to improve decision-making, processes, and operational outcomes both across the enterprise and for customers.
Consider these four categories of IoT analytics:
- Descriptive analytics to understand the current situation
- Diagnostic analytics to understand why the current situation is happening
- Predictive analytics to understand when a negative event may occur before it does
- Prescriptive analytics to suggest the next best action based on a given event or condition
Benefits of IoT analytics
Unlocking value from data that is captured from connected products, processes, and people to improve and optimize business outcomes is the ultimate goal of every IoT project.
Increase Revenue
Scale to new markets, improve throughput, and unlock new business models such as products as a service.
Reduce Time
Get to market faster using a rich set of industrial IoT capabilities. Wrap and extend existing assets within your connected solution
Reduce Costs
Leverage data from connected products and systems to increase productivity, lower cost, and increase efficiency.
Improve Quality
Make product, service, and factory operations more secure and scalable. Improve service quality, reliability, and satisfaction.
Improve Flexibility
Take control of your deployment options with on-premise, cloud, or a hybrid approach. Support any industrial use case with flexibility.
IoT analytics use cases and applications
Smart Factories
Manufacturers equip their assets and production lines with sensors to monitor performance. This allows them to monitor the quantity and quality of the assets they are producing. Better quality products lead to reduced costs and scrap along with better customer experiences—all of which contribute to revenue gains.
Connected Products
In addition to being able to leverage IoT data to improve factory processes, manufacturers can use IoT analytics to understand how the things they have built are performing in the real world.
New Business Models
Vendors that used to simply sell products are now able to sell those products as a service, where customers pay based on monthly usage. Manufacturers are also able to offer other value-added services such as over-the-air updates to software.
IoT data case studies
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