迈向在数据分析项目中提供总体知识建设的指导方针

IF 7.4 3区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI:10.52825/bis.v1i.56

Dorothea Schneider, Wibke Kusturica

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引用次数: 2

摘要

竞争激烈的市场形势对制造业企业提出了严峻的挑战。在使用数据分析来增强产品和流程方面的竞争需要额外的资源来处理复杂性。相反，数字化和基于数据分析的方法所提供的可能性是一项宝贵的资产。在本文中，我们提出了一个指导方针，以系统的行动过程中，以数据为基础的整体洞察力的创造。构建一个覆盖的知识语料库，通过超越特定于项目的观点，从而加速了特定项目内以及跨项目的学习曲线。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects

Tight and competitive market situations pose a serious challenge to enterprises in the manufacturing industry domain. Competing in the use of data analytics to enhance products and processes requires additional resources to deal with the complexity. On the contrary, the possibilities afforded by digitization and data analysis-based approaches make for a valuable asset. In this paper we suggest a guideline to a systematic course of action for the data-based creation of holistic insight. Building an overlaying corpus of knowledge accelerates the learning curve within specific projects as well as across projects by exceeding the project-specific view towards an integrated approach.

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来源期刊

Business & Information Systems Engineering Computer Science-Information Systems

CiteScore

13.60

自引率

7.60%

发文量

审稿时长

3 months

期刊介绍： Business & Information Systems Engineering (BISE) is a double-blind peer-reviewed journal with a primary focus on the design and utilization of information systems for social welfare. The journal aims to contribute to the understanding and advancement of information systems in ways that benefit societal well-being.