Publicação
A holistic approach to information mining : internship experience at Oticon A/S
| Resumo: | In our days, companies have the huge possibility to understand their customers like never before. They have access to numerous sources of customer related data. Insights that can’t be retrieved from secondary sources, can be gathered through market research. Data is the key element to create customer centric value through data-driven decisions. Making the right decisions based on empirical analysis can become a competitive advantage and a critical success factor for big industry players like Oticon A/S - one of the largest in the world manufacturer of hearing aid devices. This internship report will describe the author’s ten months internship experience in the Market Intelligence Team of Oticon. The description of the projects carried throughout the internship and especially their diversity in terms of tools and methodologies, aims to represent a holistic approach to data mining, showing how the latter should be performed considering it as a part of a larger ecosystem of actors and processes. Quantitative research, development of reporting solutions, database management, and application of frequent pattern mining algorithms, are all used to transform data into actionable knowledge. |
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| Autores principais: | Robu, Vlad |
| Assunto: | Frequent pattern mining Apriori Market Research PowerBI Reporting Solution |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | In our days, companies have the huge possibility to understand their customers like never before. They have access to numerous sources of customer related data. Insights that can’t be retrieved from secondary sources, can be gathered through market research. Data is the key element to create customer centric value through data-driven decisions. Making the right decisions based on empirical analysis can become a competitive advantage and a critical success factor for big industry players like Oticon A/S - one of the largest in the world manufacturer of hearing aid devices. This internship report will describe the author’s ten months internship experience in the Market Intelligence Team of Oticon. The description of the projects carried throughout the internship and especially their diversity in terms of tools and methodologies, aims to represent a holistic approach to data mining, showing how the latter should be performed considering it as a part of a larger ecosystem of actors and processes. Quantitative research, development of reporting solutions, database management, and application of frequent pattern mining algorithms, are all used to transform data into actionable knowledge. |
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