A Multi-Usable Cloud Service Platform

A Case Study on Improved Development Pace and Efficiency

Document identifier: oai:DiVA.org:ltu-75700
Access full text here:10.3390/app8020316
Keyword: Natural Sciences, Data collection and analytics, Information systems, Pace, Multi-usable cloud service platform, Improvement, Efficiency, Development, Circular economy, Computer and Information Sciences, Case study, Big data, Systemvetenskap, informationssystem och informatik, Data- och informationsvetenskap, Naturvetenskap, Information Systems, Informationssystem
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructure
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

The case study, spanning three contexts, concerns a multi-usable cloud service platform for big data collection and analytics and how the development pace and efficiency of it has been improved by 50–75% by using the Arrowhead framework and changing development processes/practices. Furthermore, additional results captured during the case study are related to technology, competencies and skills, organization, management, infrastructure, and service and support. A conclusion is that when offering a complex offer such as an Industrial Product-Service System, comprising sensors, hardware, communications, software, cloud service platform, etc., it is necessary that the technology, business model, business setup, and organization all go hand in hand during the development and later operation, as all ‘components’ are required for a successful result.

Authors

John Lindström

Luleå tekniska universitet; Digitala tjänster och system; Information systems
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Anders Hermanson

Adage AB
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Fredrik Blomstedt

BnearIT AB
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Petter Kyösti

Luleå tekniska universitet; Signaler och system
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