From Web Analytics to Product Analytics: The Internet of Things as a New Data Source for Enterprise Information Systems
The internet of things (IoT) paves the way for a new generation of consumer products that collect and exchange data, constituting a new data source for enterprise information systems (EIS). These IoT-ready products use built-in sensors and wireless commun
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Abstract. The internet of things (IoT) paves the way for a new generation of consumer products that collect and exchange data, constituting a new data source for enterprise information systems (EIS). These IoTready products use built-in sensors and wireless communication technologies to capture and share data about product usage and the environment in which the products are used. The dissemination of the internet into the physical world of everyday products thus establishes new opportunities to apply methods well-established in web analytics to IoT-products, allowing enterprises to tap into a new and rich source of consumer data. In this paper we examine technical challenges of enabling everyday products to generate consumer data for EIS and discuss the application of web analytics methods to IoT-ready consumer products.
Keywords: Internet of things Information Systems
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Product analytics
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Enterprise
Introduction
A growing number of recently introduced new consumer products are able to sense their environment and share data with users, other products, and companies via the internet of things (IoT). Examples are LG’s refrigerator “Smart ThingQ”, VW ’s smart minivan “BUDD-e”, Sleep Number ’s mattress “It Bed”, or Verbund ’s energy monitoring and controlling system “Eco-Home”. These products have in common that they extend the basic functionalities of regular products with the ability to collect and share data [2,22,27,28]. We call this new category of data-collecting and -sharing products IoT-ready products (or for short, IoT-products). The IoT was not established at a specific point in time; rather, it has emerged in a continuous, and still ongoing, process. It can be interpreted as “a global network infrastructure, linking physical and virtual objects through the exploitation of data capture and communication capabilities” [5]. Accordingly, for the purpose of this paper we define an IoT-product as a consumer product that autonomously collects and exchanges consumer data. c IFIP International Federation for Information Processing 2016 Published by Springer International Publishing AG 2016. All Rights Reserved A.M. Tjoa et al. (Eds.): CONFENIS 2016, LNBIP 268, pp. 145–155, 2016. DOI: 10.1007/978-3-319-49944-4 11
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The IoT is a potential game changer for nearly every business and it has received attention by both academia and practitioners around the world (for a recent overview of research trends and challenges see [52,53]). From the perspective of enterprise information systems (EIS), the IoT will be the key to unlocking the full potential of EIS (see, for example, [40]). Conceptual designs for corresponding EIS have already been outlined in prior work (e.g., [26,50]). Our approach differs from these approaches by focusing on consumer data that is collected by the physical IoT-products themselves in the consumer’s environment. While websites, social networks, search engines, and other traditional sources for data generation in sales market research are built on the traditional internet
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