The following research paper states out the analysis of the potential of a big data based shopping application for a sales manager of a store department in Germany. Based on a theoretical-conceptual analysis the paper gives a theoretical background regarding the necessary customer data in sales, big data, mobile shopping applications and the store departments. Considering the importance of big data in commerce and the rising amount of data generated by mobile applications, the paper at hand presents which data can be tracked, which analysis can be conducted with the data and what are potential activities for a sales manager to achieve mentioned aims in the different marketing policies and the overarching aim to increase profit.
The findings of the analysis demonstrate that the implementation of a mobile shopping app offers many activities to achieve or support sales and marketing goals but the complex situation of store departments also needs to be taken into account.
Table of Contents
II. List of Abbreviations
III. List of Figures
IV. List of Tables
1. Introduction
1.1 Relevance of the topic
1.2 State of research
1.3 Research question
1.4 Limitations
1.5 Procedure
2. Theoretical background
2.1 Customer knowledge in sales
2.2 Big data
2.3 Mobile shopping applications
2.4 Department stores
3. Potential for Sales Managers
3.1 Sales Objectives
3.2 Tracking data
3.3 Analyzing data
3.4 Activities to achieve sales objectives
4. Conclusion & Forecast
5. Bibliography/Reference list
- Quote paper
- Miriam Kröner (Author), 2016, Big Data. Implementation of a big data based mobile application, Munich, GRIN Verlag, https://www.grin.com/document/344326
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