Business consultancy project

Quantitative Data Analysis

Quantitative approach involves the generation of information in quantitative form suitable for rigorous quantitative analysis.
In terms of time horizon two main types of studies are defined: longitudinal (several points in time, the same sample and the same variables are examined) and cross-sectional (one point in time with different samples is considered, variables – new every time). In this particular research paper, longitudinal study has been applied based on that the same variables were analyzed within the durable period of time. The data of the preceding period was examined to define the trends and character of fluctuations in various metrics of revenue streams.
The environment of telecommunication and finance markets involving recent tendencies in customers’ behavior has been evaluated. Moreover, change in revenue streams of Azercell has been analyzed to assess the potential MFS profits and expenditures for Azercell. Meanwhile, voice and SMS traffic trends compared to previous periods, the change of Azercell revenue obtained from additional services, particularly from value-added services the usage of data and respective profits, determination of potential customer base, clients’ awareness about MFS and particular usage of MFS on the market (if any), predictions on the revenue in the near future have been under consideration for this particular project. The peculiar industry related quantitative data analysis metrics were implemented for understanding the usage and revenue correlation and bounding effects of traffic decline in the company profitability. The descriptive and diagnostic data analysis measurements assessed to project the future revenue contribution among services and determine the future perspectives for the company. For the evaluation of the primary quantitative data the following indicators were defined as the key measurement factors.

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  The decrease of revenue from traditional communication tools.
  
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  The usage and revenue metrics of Value-added services
  
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  The forecast of the revenue in the nearest future.
  
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  The evaluation of MFS deployment in Azercell product portfolio
  

Nevertheless, the internal data evaluation is not sufficient for the prediction of horizontal integration via mobile financial service implementation, therefore the customers` approach and their perception about the deployment of MFS were also measured through questionnaires.

- Questionnaires

Questionnaires containing main information required for analysis have been distributed among young and middle-aged group of people Appendix.2, (Google Form, 2019)