Cross-Methodological Approach to Realization of Marketing Analytical Function

A. L. Beloborodova, N. V. Kalenskaya
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Abstract

The article explains the necessity to use cross-methodological approach to realization of marketing analytical function that combines methodology of classical marketing research and DataScience methodology. The explanation is based on results of literature analysis, which studies trends of DataDriven marketing development and DataScience; HeadHunter research dealing with assessing the compliance of the competence profile of specialist in the field of analytical marketing with demands of labour market and on results of the authors’ research in the present sphere. Comparative appraisal of efficiency of using classical methods of marketing research and DataScience methodology was conducted at enterprises; benefits and drawbacks of each of them were identified; similar and distinguishing stages of these approaches were found and efficiency of their integration was proved. Progress of Russian companies in realization of marketing analytical function by using DataDriven culture was estimated. Two principle reasons hindering the process of marketing based on data introduction to Russian organizations were named, i.e. non-compliance of competence profile of marketers-analysts//with market demands and uncoordinated investment in technologies aiming at DataDriven approach introduction into the company.
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实现营销分析功能的交叉方法
文章解释了使用交叉方法实现营销分析功能的必要性,这种方法结合了经典营销研究方法和数据科学方法。解释的依据是研究数据驱动营销发展和数据科学趋势的文献分析结果、猎头公司关于评估分析营销领域专家的能力素质是否符合劳动力市场需求的研究以及作者在本领域的研究结果。在企业中对使用传统营销研究方法和数据科学方法的效率进行了比较评估;确定了每种方法的优点和缺点;发现了这些方法的相似和不同阶段,并证明了它们的整合效率。对俄罗斯企业利用数据驱动文化实现营销分析功能的进展情况进行了评估。研究指出了阻碍俄罗斯企业基于数据的营销进程的两个主要原因,即营销人员-分析师//的能力素质不符合市场需求,以及旨在将数据驱动方法引入企业的技术投资不协调。
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