The Data Analytic Capability Wheel: An Implementation Framework for Digitalization

A. Kokkinou, Ton van Kollenburg, Albert Mandemakers, Eric Hopstaken, Jan van Elderen
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Abstract

For mature organizations to engage in digital transformation, they first must engage in digitization and digitalization. Digitalization requires the organizations to possess data analytic capability: the ability to transform data into useful insights in a way that creates or maintains competitive advantage. The purpose of this study was to formulate a practical framework for the implementation of digitalization. For this, a qualitative approach was used. Relevant aspects of data analytic capability were identified, based on a review of the literature supplemented with semi-structured interviews with organizations currently implementing digitalization. With these findings a preliminary implementation framework entitled the “Data Analytic Capability Wheel” was formulated. The aspects encompassed by this framework included data quality, data analytics, IT infrastructure, processes, employee knowledge and skills, and management. Future research should refine and validate this framework and examine whether it leads to the successful implementation of DAC in organizations.
数据分析能力轮:数字化实施框架
成熟的组织要进行数字化转型,首先必须进行数字化和数字化。数字化要求组织具备数据分析能力:将数据转化为有用见解的能力,从而创造或保持竞争优势。本研究的目的是制定一个实施数字化的实用框架。为此,我们采用了定性方法。在查阅文献资料的基础上,通过对正在实施数字化的组织进行半结构化访谈,确定了数据分析能力的相关方面。根据这些发现,制定了一个名为 "数据分析能力轮 "的初步实施框架。该框架涵盖的方面包括数据质量、数据分析、IT 基础设施、流程、员工知识和技能以及管理。未来的研究应完善和验证这一框架,并研究它是否能帮助各组织成功实施 DAC。
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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