Statistical Report for Wellbeing Data of Companies, Wellness Application ViaEsca
Nguyen, Hoang Thuy Tien (2021)
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021060213461
https://urn.fi/URN:NBN:fi:amk-2021060213461
Tiivistelmä
ViaEsca was a hybrid (web and mobile) application that supported wellness coaching to help find balance in eating for its users. The objective of this thesis was to conduct statistical reports for companies that purchased ViaEsca service and present them only for ViaEsca’s administrators. The goal was to provide a measure for ViaEsca to convince the companies of the benefits that the software brought to them as a wellness solution for the employees.
In preparation for the practical part, a theoretical background study was composed for (i) the meaning of data, (ii) digital data and information security, (iii) quantitative data vs. qualitative data, and (iv) theory and methods for conducting a statistical report, which included data collection, organization, summarization, presentation, analysis, and interpretation.
Only aggregate users’ data in the field related to wellbeing will be processed for statistics. A quantitative report and a qualitative report were generated for each company. Quantitative data were gathered by metrics in the application, while qualitative data were gathered by polls and surveys. Charts and tables were used to present the statistics for both reports.
Simple but effective conclusions and information could be drawn from the achieved statistics. As a result, the implemented feature could be used by ViaEsca as a means to report statistics back to the companies or to analyze and make changes to improve their service to be suitable and beneficial for a wider range of users. Possible development of this thesis would be conducting a more in-depth analysis from the statistics to find possible correlations between data key points.
In preparation for the practical part, a theoretical background study was composed for (i) the meaning of data, (ii) digital data and information security, (iii) quantitative data vs. qualitative data, and (iv) theory and methods for conducting a statistical report, which included data collection, organization, summarization, presentation, analysis, and interpretation.
Only aggregate users’ data in the field related to wellbeing will be processed for statistics. A quantitative report and a qualitative report were generated for each company. Quantitative data were gathered by metrics in the application, while qualitative data were gathered by polls and surveys. Charts and tables were used to present the statistics for both reports.
Simple but effective conclusions and information could be drawn from the achieved statistics. As a result, the implemented feature could be used by ViaEsca as a means to report statistics back to the companies or to analyze and make changes to improve their service to be suitable and beneficial for a wider range of users. Possible development of this thesis would be conducting a more in-depth analysis from the statistics to find possible correlations between data key points.