Draft:Daniel Koh Kian Wei

Submission declined on 4 September 2024 by SafariScribe (talk).

This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources.

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to

meet any of the eight academic-specific criteria
or cite multiple reliable, secondary sources independent of the subject, which cover the subject in some depth

Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia.

If you would like to continue working on the submission, click on the "Edit" tab at the top of the window.
If you have not resolved the issues listed above, your draft will be declined again and potentially deleted.
If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors.
Please do not remove reviewer comments or this notice until the submission is accepted.

Where to get help

If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews.
If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed.

How to improve a draft

Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia.
Help:Wikitext – how to use the markup
Help:Referencing for beginners – how to include references
Wikipedia:Article development – how to develop your article
Wikipedia:Writing better articles – how to improve your article
Wikipedia:Verifiability – make sure your article includes reliable third-party sources

You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article.

Improving your odds of a speedy review

To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags.

Add tags to your draft

Editor resources

Easy tools: Citation bot (help) | Advanced: Fix bare URLs

Declined by SafariScribe 2 months ago. Last edited by Anomalocaris 2 months ago. Reviewer: Inform author.

Resubmit

Please note that if the issues are not fixed, the draft will be declined again.

Dr. Daniel Koh Kian Wei is a Singaporean data scientist, consultant, and entrepreneur, known for his work in data science, business analytics, and consumer research. He is the founder of Data Chord Pte. Ltd., based in Singapore, and Koh & Associates合同会社, headquartered in Osaka, Japan. Dr. Koh has over 14 years of experience in data science and has contributed to both academic and professional sectors in the fields of data analytics and marketing. For his contribution in the fight against COVID-19 Pandemic in Singapore, he was awarded the National Award COVID-19 Resilience Medal by the Government of the Republic of Singapore^[1]

Early life and education

Daniel Koh was born and raised in Singapore. He pursued a Doctor of Business Administration at Swiss School of Business and Management, and successfully defended his dissertation Obscurity Effect: A Valuation Match Between Buyer and Seller of Time-Sensitive and Value-Depreciating Good for the Singapore Millennial Consumer Market.^[2] His academic work specialized in using data to inform consumer behavior and market strategies. Dr. Koh's background in both business and data science has allowed him to integrate complex data-driven methodologies into practical business applications.

Career

Koh & Associates 合同会社

In 2023, Dr. Koh founded Koh & Associates合同会社, a data science consultancy based in Osaka, Japan. The company focuses on helping businesses use data to drive decision-making, enhance operational efficiency, and improve customer insights. Under his leadership, the company has worked with several high-profile clients to implement data analytics, artificial intelligence (AI), and machine learning strategies. He was featured by the Osaka Prefecture Government.^[3]

Data Chord Pte. Ltd.

In 2024, Dr. Koh expanded his operations by founding Data Chord Pte. Ltd., a Singapore-based consultancy focused on data science and analytics. The company offers services in data analysis, business intelligence, and AI implementation.

Academic contributions

Dr. Daniel Koh has made notable contributions to the understanding of loss aversion in consumer decision-making, particularly through the development of mathematical models that quantify consumer preferences for avoiding losses over achieving equivalent gains. His work on loss aversion distribution has been published in journals such as the Journal of Behavioral Data Science.^[4] His research contributes both to the theoretical understanding of behavioral economics and to practical applications in business analytics and consumer behavior studies.

References

^ "National Day Award Recipients". Prime Minister's Office Singapore. Prime Minister's Office Singapore. p. 191. Retrieved 4 September 2024. Recipient No. 14114
^ Koh, Daniel (2016). "Obscurity Effect: a Valuation Match Between Buyer and Seller of Time-sensitive and Value-depreciating Good for the Singapore Millennial Consumer Market". Global journal of Business and Integral Security. ISSN 2673-9690.
^ Osaka Pref PR jp (2024-04-24). What Makes Osaka Attractive as a Business Destination? (Koh & Associate LLC). Retrieved 2024-09-04 – via YouTube.
^ Koh, Daniel (2024-03-24). "Loss Aversion Distribution: The Science Behind Loss Aversion Exhibited by Sellers of Perishable Good". Journal of Behavioral Data Science. 4 (1): 63–80. doi:10.35566/jbds/koh. ISSN 2575-8306.

[1] "National Day Award Recipients". Prime Minister's Office Singapore. Prime Minister's Office Singapore. p. 191. Retrieved 4 September 2024. Recipient No. 14114

[2] Koh, Daniel (2016). "Obscurity Effect: a Valuation Match Between Buyer and Seller of Time-sensitive and Value-depreciating Good for the Singapore Millennial Consumer Market". Global journal of Business and Integral Security. ISSN 2673-9690.

[3] Osaka Pref PR jp (2024-04-24). What Makes Osaka Attractive as a Business Destination? (Koh & Associate LLC). Retrieved 2024-09-04 – via YouTube.

[4] Koh, Daniel (2024-03-24). "Loss Aversion Distribution: The Science Behind Loss Aversion Exhibited by Sellers of Perishable Good". Journal of Behavioral Data Science. 4 (1): 63–80. doi:10.35566/jbds/koh. ISSN 2575-8306.

[1]

[2]

[3]

[4]