Data mining using open source software for small business Including case study
Dubuis, Antoine (2016)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2016060111383
https://urn.fi/URN:NBN:fi:amk-2016060111383
Tiivistelmä
Data mining is a known as the process of discovering patterns on large datasets. It is now-adays really popular technologies used by multinational firms to have a deep understand-ing of their business and customers. An entreprise like Amazon have gained considerable assets with it.
This thesis aims to answer the question: “Is the data mining also available for small com-panies?”
In order to have a clear solution, the initial step is to present this environment in a com-prehensive way. During the first part, all knowledge needed to have a good insight of that field will be explained.
Then the second part is a case study on a wine-selling business called “La cave du Palais de Justice”. This research will be based on their accounting data and the software used for this task will be R. This case will pass through all phases of the process.
At the end, we will discuss the result of the study as well as the problem we faced and their solutions. Then we will argue whether data mining and their open-source system are available for small business.
This thesis aims to answer the question: “Is the data mining also available for small com-panies?”
In order to have a clear solution, the initial step is to present this environment in a com-prehensive way. During the first part, all knowledge needed to have a good insight of that field will be explained.
Then the second part is a case study on a wine-selling business called “La cave du Palais de Justice”. This research will be based on their accounting data and the software used for this task will be R. This case will pass through all phases of the process.
At the end, we will discuss the result of the study as well as the problem we faced and their solutions. Then we will argue whether data mining and their open-source system are available for small business.