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1 min read

Video Demonstration Shows How TimeXtender Works with IoT Data

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The Internet of Things (IoT) is one of the fastest growing trends in the marketplace. For this reason, companies are looking at innovative ways to leverage IoT data to help them become more efficient.

IoT data is first generated by a particular IoT device such as a sensor, smart app, camera, or machine. From there, the data is collected and sent over the company network to be either stored or used. This information is of great value to an organization and the numbers show that.

Consider this story in ZDNet that references an IDC study: 79.4 zettabytes of data are expected to be collected by organizations in 2025. Also by 2025, the article and supporting research state that close to 42 billion IoT devices will be deployed in the field. This growth is also expected to be supported by the emergence of 5G networks.

It goes without saying that data-management market leaders like TimeXtender have explored ways to help customers leverage all of this IoT data. In fact, TimeXtender already does.

Watch this video demonstration that showcases an actual business scenario of how a business can use TimeXtender to organize and manage their IoT data. In this video, you will see a live demo of a company that has received customer complaints about their food deliverables having issues, possibly because the food was not kept cold before being shipped. The supplier, using TimeXtender, can be seen easily merging their IoT sensor data with their business data to look at the temperature of their refrigeration on corresponding days of the product shipment.

This is an excellent representation of IoT and TimeXtender at work, and the presentation clearly shows how linking your IoT data with your enterprise business data can provide support for functional lines such as sales, marketing, and customer service. With this data linked together, you can achieve real business value in the contexts of overall business goals, in this case, by reducing returns, complaints, inventory issues, and financial losses.

In this business scenario, you’ll witness how easy this evaluation can occur by using TimeXtender. You simply open up your existing data warehouse to view the dimensional model of your sales and purchasing and then link in your IoT data from your Azure IoT hub. From there, you have a historical record to analyze refrigeration temperature on previous days vis-a-vis sales and customer complaints, along with a program set in place to monitor temperature for the future.

Rest assured that TimeXtender is marching ahead to support the growing demand for IoT.

** Please note that our technology in the video is identified as “Discovery Hub” which has now been rebranded to “TimeXtender.”


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