Transforming businesses with e-commerce intelligence
2020 had been an extraordinary year as the Covid-19 pandemic struck almost all countries in the world and created an extraordinary impact on businesses worldwide. Singapore and many other Southeast Asian countries were not spared and had to implement lockdowns swiftly. To cope with physical store cl...
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sg-smu-ink.soa_research-29482022-01-27T03:56:54Z Transforming businesses with e-commerce intelligence KUSNADI, Yuanto PAN, Gary 2020 had been an extraordinary year as the Covid-19 pandemic struck almost all countries in the world and created an extraordinary impact on businesses worldwide. Singapore and many other Southeast Asian countries were not spared and had to implement lockdowns swiftly. To cope with physical store closures and the increased volume of online transactions, most businesses tried to revamp their business models and set up online stores to capitalise on the rise of the e-commerce wave. With the growing trend of online transactions, it has become imperative for companies operating in the Fast Moving Consumer Goods (FMCG) industry to track the performance of their brands on the various online platforms. This need has led to the emergence of E-Commerce Intelligence (EI)–a new category of software that enables brand managers to keep track of their stocks and sales in the online space. Over the past year, many start-ups offering data analytics and EI services have emerged and caught the attention of investors and venture capitalists, who are injecting funds to further fuel growth in this sector. 2021-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/1921 https://ink.library.smu.edu.sg/context/soa_research/article/2948/viewcontent/TransformBiz_SMU_AMI_Nov_2021_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University E-commerce e-commerce intelligence data analytics business models Asia Covid-19 Accounting Databases and Information Systems E-Commerce |
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E-commerce e-commerce intelligence data analytics business models Asia Covid-19 Accounting Databases and Information Systems E-Commerce KUSNADI, Yuanto PAN, Gary Transforming businesses with e-commerce intelligence |
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2020 had been an extraordinary year as the Covid-19 pandemic struck almost all countries in the world and created an extraordinary impact on businesses worldwide. Singapore and many other Southeast Asian countries were not spared and had to implement lockdowns swiftly. To cope with physical store closures and the increased volume of online transactions, most businesses tried to revamp their business models and set up online stores to capitalise on the rise of the e-commerce wave. With the growing trend of online transactions, it has become imperative for companies operating in the Fast Moving Consumer Goods (FMCG) industry to track the performance of their brands on the various online platforms. This need has led to the emergence of E-Commerce Intelligence (EI)–a new category of software that enables brand managers to keep track of their stocks and sales in the online space. Over the past year, many start-ups offering data analytics and EI services have emerged and caught the attention of investors and venture capitalists, who are injecting funds to further fuel growth in this sector. |
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text |
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KUSNADI, Yuanto PAN, Gary |
author_facet |
KUSNADI, Yuanto PAN, Gary |
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KUSNADI, Yuanto |
title |
Transforming businesses with e-commerce intelligence |
title_short |
Transforming businesses with e-commerce intelligence |
title_full |
Transforming businesses with e-commerce intelligence |
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Transforming businesses with e-commerce intelligence |
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Transforming businesses with e-commerce intelligence |
title_sort |
transforming businesses with e-commerce intelligence |
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Institutional Knowledge at Singapore Management University |
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2021 |
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https://ink.library.smu.edu.sg/soa_research/1921 https://ink.library.smu.edu.sg/context/soa_research/article/2948/viewcontent/TransformBiz_SMU_AMI_Nov_2021_pv.pdf |
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