Methods of Data Collection Optimization in Digital-Marketing

Student: Tsarkova Natalia

Supervisor: Yulia Altshuler

Faculty: Faculty of Management (Nizhny Novgorod)

Educational Programme: Marketing (Master)

Year of Graduation: 2019

This paper considers methods of data collection optimizing in the context of the Digital Performance Agency wrokflow. In this work, the use of Business Intelligence system in the process of collecting analytical data of multi channel advertising campaign was proposed. This paper suggests methods of data loading automatization for seamless merge of data contained in several sources.

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