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Industrial applications of big data in disruptive innovations supporting environmental reporting
Journal of Industrial Information Integration ( IF 10.4 ) Pub Date : 2019-10-02 , DOI: 10.1016/j.jii.2019.100105
Esa Hämäläinen , Tommi Inkinen

Disruptive innovations are usually identified as ideas that are created ‘outside the box’. They are expected to fundamentally change existing business models and processes founded on technological applications. Disruptive innovations can be challenging to define. Information technology (IT) solutions focus on collecting, processing, and reporting different types of data. Commonly, is the solutions are expected (in cybernetics or self-regulating processes) to provide feedback to original processes and to steer them based on the data. To achieve continuous improvement with regard to environmental responsibility and profitability, new thinking and, in particular, accurate and reliable data are needed for decision-making. Very large data storages, known as big data, contain an increasing mass of different types of homogenous and non-homogenous information, as well as extensive time-series. New, innovative algorithms are required to reveal relevant information and opportunities hidden in these data storages. Global environmental challenges and zero-emission responsible production issues can only be solved using relevant and reliable continuous data as the basis. The final goal should be the creation of scalable environmental solutions based on disruptive innovations and accurate data. The aim of this paper is to determine the explicit steps for replacing silo-based reporting with company-wide, refined information, which enables decision-makers in all industries the chance to make responsible choices.



中文翻译:

大数据在颠覆性创新中的工业应用支持环境报告

颠覆性创新通常被认为是“开箱即用”的创意。他们有望从根本上改变基于技术应用程序的现有业务模型和流程。颠覆性创新的定义可能具有挑战性。信息技术(IT)解决方案着重于收集,处理和报告不同类型的数据。通常,期望解决方案(在控制论或自我调节过程中)为原始过程提供反馈,并根据数据进行指导。为了在环境责任和盈利能力方面不断取得进步,决策需要新的思路,尤其是准确可靠的数据。大型数据存储(称为大数据)包含越来越多的不同类型的同质和非同质信息,以及广泛的时间序列。需要新的创新算法来揭示隐藏在这些数据存储中的相关信息和机会。全球环境挑战和零排放负责任的生产问题只能使用相关且可靠的连续数据作为基础来解决。最终目标应该是基于颠覆性创新和准确数据创建可扩展的环境解决方案。本文的目的是确定用公司范围内的详细信息替换基于筒仓的报告的明确步骤,这使所有行业的决策者都有机会做出负责任的选择。需要创新算法来揭示隐藏在这些数据存储中的相关信息和机会。全球环境挑战和零排放负责任的生产问题只能使用相关且可靠的连续数据作为基础来解决。最终目标应该是基于颠覆性创新和准确数据创建可扩展的环境解决方案。本文的目的是确定用公司范围内的详细信息替换基于筒仓的报告的明确步骤,这使所有行业的决策者都有机会做出负责任的选择。需要创新算法来揭示隐藏在这些数据存储中的相关信息和机会。全球环境挑战和零排放负责任的生产问题只能使用相关且可靠的连续数据作为基础来解决。最终目标应该是基于颠覆性创新和准确数据创建可扩展的环境解决方案。本文的目的是确定用公司范围内的详细信息替换基于筒仓的报告的明确步骤,这使所有行业的决策者都有机会做出负责任的选择。最终目标应该是基于颠覆性创新和准确数据创建可扩展的环境解决方案。本文的目的是确定用公司范围内的详细信息替换基于筒仓的报告的明确步骤,这使所有行业的决策者都有机会做出负责任的选择。最终目标应该是基于颠覆性创新和准确数据创建可扩展的环境解决方案。本文的目的是确定用公司范围内的详细信息替换基于筒仓的报告的明确步骤,这使所有行业的决策者都有机会做出负责任的选择。

更新日期:2019-10-02
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