Framework of Big data Analysis about IoT-Home-device for supporting a decision making an effective strategy about new product design
Jong-Jin Jung, Kyungwon Kim, Jongbin Park · 2019
This paper introduces a framework of big data analysis about IoT home devices which are delivered to the consumer through several distribution channels, are used by a home user in the smart home, and are repaired in A/S center (repair shop). We collect big data and make an analysis at three major stages that are distribution stage, customer-usage stage, and A/S stage. The ultimate purpose of the presented framework is to help the small/medium companies to make an elastic strategy for the new product. Therefore they can make a more effective decision at three major stages. For example, they can reduce redundancy about a distribution channel, they can adjust a quantity of warehousing, release, stock. They can make a decision on what to upgrade the new next device, how to increase durability, and so on. For these purposes, this framework consists of three subsystems. 1) A data crawler that collects and stores big data about IoT-home devices at three major stages, 2) A big data analyzer about IoT-home device with an appreciate analytic model, 3) A visualization of insights, which help a user to understand the analytic output.