Decision Analytics - A Position Paper

Christer Carlsson
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Abstract

The context we address is the ‘digital or new economy’ for which we propose that Decision Analytics will be one of the key drivers. The reasons are that we need to both meet the challenges from big data/fast data and to work out new possibilities to make experience and expert knowledge accessible and usable for local, ad hoc decision makers and for automated, intelligent systems. Digitalisation brings increasing competition, slimmer margins for productivity and profitability and more pronounced requirements for effective planning, problem solving and decision making. This requires a transfer of (sometimes tacit) knowledge from experts and experi-enced people to novice system operators—and to automated, intelligent systems—a transfer we call knowledge mobilisation. We will work out reasons for why Decision Analytics will be a key part of knowledge mobilisation and an essential contribution to the development of instruments we need for the progress of digitalisation.
决策分析--立场文件
我们所涉及的背景是 "数字经济或新经济",我们建议决策分析将成为其主要驱动力之一。原因在于,我们既要应对大数据/快速数据带来的挑战,又要探索新的可能性,使本地的临时决策者和自动化、智能化系统能够获取并利用经验和专家知识。数字化带来了日益激烈的竞争,生产率和利润率的利润空间越来越小,对有效规划、解决问题和决策的要求也越来越高。这就需要将专家和经验丰富的人员的知识(有时是隐性知识)转移到新手系统操作员和自动化智能系统中,我们称之为知识动员。我们将找出原因,说明为什么决策分析将成为知识动员的一个关键部分,并为开发数字化进程所需的工具做出重要贡献。
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