Using SAP Analytics Cloud (SAC) for visualizing data and detecting problems
Tran, Doanh (2023)
Tran, Doanh
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023051711503
https://urn.fi/URN:NBN:fi:amk-2023051711503
Tiivistelmä
The way of data organization will affect directly business decision-making. The traditional performance of data in rows and columns is poor and limited. However, data is crucial evidence to tell organizations what is happening with their business. Therefore, arranging and displaying readable data is necessary. And data visualization is dominant to improve data performance. SAP Analytics Cloud (SAC) is a leading solution for visualizing data and making decisions. In addition, this software also offers predictive analytics and business planning functions. The purpose of this thesis was to bring a better understanding of how SAP Analytics Cloud works through observing a case company that used SAP Analytics Cloud for visualizing data and detecting problems while they ventured into the US market.
Qualitative case study was a research tool for this report. The applied SAP Analytics Cloud process of the case company was described. It started by evaluating data, preparing data, visualizing and analysing data, and ended by presenting the results of the findings. Moreover, the suggestions for minimizing the adverse impact on the issues were included.
Based on features embedded in SAP Analytics Cloud, Fond Rouge exposed counterfeit and inferior issues that were happening in several cities of the US. These problems were affected straight to their revenue in this market. Thanks to these findings, Fond Rouge had a comprehensive overview to figure out the best way to narrow down negative effects.
Although the scope of this study only analysed data visualization and predictive analytics functionality of SAP Analytics Cloud through the case company, this software is truly outstanding. With using artificial intelligence (AI), machine learning, and automate predictive analysis, it provides businesses smart insights with least manual intervention. Furthermore, it also improves the way of data performance, enhances decision-making, and supports the business management.
Qualitative case study was a research tool for this report. The applied SAP Analytics Cloud process of the case company was described. It started by evaluating data, preparing data, visualizing and analysing data, and ended by presenting the results of the findings. Moreover, the suggestions for minimizing the adverse impact on the issues were included.
Based on features embedded in SAP Analytics Cloud, Fond Rouge exposed counterfeit and inferior issues that were happening in several cities of the US. These problems were affected straight to their revenue in this market. Thanks to these findings, Fond Rouge had a comprehensive overview to figure out the best way to narrow down negative effects.
Although the scope of this study only analysed data visualization and predictive analytics functionality of SAP Analytics Cloud through the case company, this software is truly outstanding. With using artificial intelligence (AI), machine learning, and automate predictive analysis, it provides businesses smart insights with least manual intervention. Furthermore, it also improves the way of data performance, enhances decision-making, and supports the business management.