Business analytics: financial modelling and price management
This project provides a comprehensive overview of Evoqua Water Technologies' strategic focus on the APAC region and the methodologies employed to optimize its business operations, while also addressing pertinent challenges encountered throughout. This project aims to optimize pricing strategies...
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2024
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sg-ntu-dr.10356-1756452024-05-06T15:36:32Z Business analytics: financial modelling and price management Lee, Wei Han Xia Kelin School of Physical and Mathematical Sciences xiakelin@ntu.edu.sg Mathematical Sciences This project provides a comprehensive overview of Evoqua Water Technologies' strategic focus on the APAC region and the methodologies employed to optimize its business operations, while also addressing pertinent challenges encountered throughout. This project aims to optimize pricing strategies, streamline financial reporting processes, and leverage machine learning for customer segmentation. Through meticulous data preprocessing and implementation of Excel VBA and Power BI, Evoqua enhances operational efficiency and decision-making capabilities. Integration of machine learning algorithms facilitates customer segmentation and pricing optimization, driving sustainable growth and maintaining Evoqua's leadership position in the water treatment industry. Bachelor's degree 2024-05-02T05:20:08Z 2024-05-02T05:20:08Z 2024 Final Year Project (FYP) Lee, W. H. (2024). Business analytics: financial modelling and price management. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175645 https://hdl.handle.net/10356/175645 en application/pdf Nanyang Technological University |
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Mathematical Sciences Lee, Wei Han Business analytics: financial modelling and price management |
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This project provides a comprehensive overview of Evoqua Water Technologies' strategic focus on the APAC region and the methodologies employed to optimize its business operations, while also addressing pertinent challenges encountered throughout. This project aims to optimize pricing strategies, streamline financial reporting processes, and leverage machine learning for customer segmentation. Through meticulous data preprocessing and implementation of Excel VBA and Power BI, Evoqua enhances operational efficiency and decision-making capabilities. Integration of machine learning algorithms facilitates customer segmentation and pricing optimization, driving sustainable growth and maintaining Evoqua's leadership position in the water treatment industry. |
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Xia Kelin |
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Xia Kelin Lee, Wei Han |
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Final Year Project |
author |
Lee, Wei Han |
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Lee, Wei Han |
title |
Business analytics: financial modelling and price management |
title_short |
Business analytics: financial modelling and price management |
title_full |
Business analytics: financial modelling and price management |
title_fullStr |
Business analytics: financial modelling and price management |
title_full_unstemmed |
Business analytics: financial modelling and price management |
title_sort |
business analytics: financial modelling and price management |
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Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/175645 |
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1800916162596306944 |