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.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Relevance of the topic
- State of research
- Research question
- Limitations
- Procedure
- Theoretical background
- Customer knowledge in sales
- Big data
- Mobile shopping applications
- Department stores
- Potential for Sales Managers
- Sales Objectives
- Tracking data
- Analyzing data
- Activities to achieve sales objectives
- Conclusion & Forecast
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This research paper aims to analyze the potential of a big data-based shopping application for a sales manager of a store department in Germany. It provides a theoretical background on customer data in sales, big data, mobile shopping applications, and department stores, highlighting the importance of big data in commerce and the increasing amount of data generated by mobile applications. The paper explores how data can be tracked, analyzed, and used to support sales and marketing goals, ultimately aiming to increase profit.
- The potential of big data in sales management
- The role of mobile shopping applications in data collection and analysis
- The importance of customer data in achieving sales objectives
- The challenges and opportunities of implementing big data strategies in department stores
- The impact of big data on sales and marketing goals
Zusammenfassung der Kapitel (Chapter Summaries)
The introduction highlights the relevance of big data in the current digital landscape, emphasizing the importance of data analysis and its potential for optimizing processes and developing new business models. It also discusses the state of research on big data, particularly focusing on the shift from big to smart data.
The theoretical background section provides a comprehensive overview of key concepts related to customer knowledge in sales, big data, mobile shopping applications, and department stores. This section lays the foundation for understanding the potential applications of big data in retail.
The "Potential for Sales Managers" chapter delves into the specific ways in which big data can be leveraged to achieve sales objectives. It outlines the process of tracking and analyzing data from mobile applications and explores various activities that sales managers can implement to improve sales and marketing performance.
Schlüsselwörter (Keywords)
Big data, mobile shopping applications, customer knowledge, sales management, department stores, data analysis, marketing goals, profit maximization, retail analytics.
- 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
