�ݺ�ߣshows by User: TAWEIHUANG

�ݺ�ߣshows by User: TAWEIHUANG / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: TAWEIHUANG / Wed, 01 Dec 2021 00:14:38 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: TAWEIHUANG Causal Inference in Marketing /slideshow/causal-inference-in-marketing/250758334 causalinference-211201001438
A brief intro to current advances in causal inference methods with applications to marketing problems]]>
A brief intro to current advances in causal inference methods with applications to marketing problems]]> Wed, 01 Dec 2021 00:14:38 GMT /slideshow/causal-inference-in-marketing/250758334 TAWEIHUANG@slideshare.net(TAWEIHUANG) Causal Inference in Marketing TAWEIHUANG A brief intro to current advances in causal inference methods with applications to marketing problems <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/causalinference-211201001438-thumbnail.jpg?width=120&height=120&fit=bounds" /> A brief intro to current advances in causal inference methods with applications to marketing problems

Causal Inference in Marketing from Ta-Wei (David) Huang

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0 Data Science in Business: Value Creation of Business /TAWEIHUANG/data-science-in-business-232635209 20200425datascienceinbusinessvf-200425135023
In the field of business and management, data science is transforming how companies organize, operate, manage talent, and create value. In this talk, David will share his experience as a data scientist and consultant on data science in business – from business experimentation to planning process optimization. He will also reflect on the career progress as a data scientist and provide suggestions to young data scientists]]>
In the field of business and management, data science is transforming how companies organize, operate, manage talent, and create value. In this talk, David will share his experience as a data scientist and consultant on data science in business – from business experimentation to planning process optimization. He will also reflect on the career progress as a data scientist and provide suggestions to young data scientists]]> Sat, 25 Apr 2020 13:50:23 GMT /TAWEIHUANG/data-science-in-business-232635209 TAWEIHUANG@slideshare.net(TAWEIHUANG) Data Science in Business: Value Creation of Business TAWEIHUANG In the field of business and management, data science is transforming how companies organize, operate, manage talent, and create value. In this talk, David will share his experience as a data scientist and consultant on data science in business – from business experimentation to planning process optimization. He will also reflect on the career progress as a data scientist and provide suggestions to young data scientists <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20200425datascienceinbusinessvf-200425135023-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the field of business and management, data science is transforming how companies organize, operate, manage talent, and create value. In this talk, David will share his experience as a data scientist and consultant on data science in business – from business experimentation to planning process optimization. He will also reflect on the career progress as a data scientist and provide suggestions to young data scientists

Data Science in Business: Value Creation of Business from Ta-Wei (David) Huang

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0 Customer Analytics Best Practice /slideshow/customer-analytics-best-practice-180088778/180088778 20191008dsmeetupsharing-191008161824
- Why customer analytics is complex now? - One metric answers all the question - Predictive customer lifetime value prediction - Campaign analytics and DiD methods]]>
- Why customer analytics is complex now? - One metric answers all the question - Predictive customer lifetime value prediction - Campaign analytics and DiD methods]]> Tue, 08 Oct 2019 16:18:24 GMT /slideshow/customer-analytics-best-practice-180088778/180088778 TAWEIHUANG@slideshare.net(TAWEIHUANG) Customer Analytics Best Practice TAWEIHUANG - Why customer analytics is complex now? - One metric answers all the question - Predictive customer lifetime value prediction - Campaign analytics and DiD methods <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20191008dsmeetupsharing-191008161824-thumbnail.jpg?width=120&height=120&fit=bounds" /> - Why customer analytics is complex now? - One metric answers all the question - Predictive customer lifetime value prediction - Campaign analytics and DiD methods

Customer Analytics Best Practice from Ta-Wei (David) Huang

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0 How Data Scientists Make Reliable Decisions with Data /slideshow/how-data-scientists-make-reliable-decisions-with-data/74892525 datamodelingandcollection-170411153059
A new data-driven procedure allows stakeholders to make informative decisions and improve decisions iteratively.]]>
A new data-driven procedure allows stakeholders to make informative decisions and improve decisions iteratively.]]> Tue, 11 Apr 2017 15:30:59 GMT /slideshow/how-data-scientists-make-reliable-decisions-with-data/74892525 TAWEIHUANG@slideshare.net(TAWEIHUANG) How Data Scientists Make Reliable Decisions with Data TAWEIHUANG A new data-driven procedure allows stakeholders to make informative decisions and improve decisions iteratively. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datamodelingandcollection-170411153059-thumbnail.jpg?width=120&height=120&fit=bounds" /> A new data-driven procedure allows stakeholders to make informative decisions and improve decisions iteratively.

How Data Scientists Make Reliable Decisions with Data from Ta-Wei (David) Huang

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0 How to crack down big data? /slideshow/how-to-crack-down-big-data/67841106 bigdata-161029154235
In this slides, I share some required skills for data scientist. I also share my learning experience as a business school student.]]>
In this slides, I share some required skills for data scientist. I also share my learning experience as a business school student.]]> Sat, 29 Oct 2016 15:42:35 GMT /slideshow/how-to-crack-down-big-data/67841106 TAWEIHUANG@slideshare.net(TAWEIHUANG) How to crack down big data? TAWEIHUANG In this slides, I share some required skills for data scientist. I also share my learning experience as a business school student. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdata-161029154235-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this slides, I share some required skills for data scientist. I also share my learning experience as a business school student.

How to crack down big data? from Ta-Wei (David) Huang

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0 P&G Case Study /slideshow/pg-case-study-66142532/66142532 pgcase-160918163523
This is a HBS case study about P&G's new product launching strategy. In this case I am responsible for survey data analysis and project financial analysis.]]>
This is a HBS case study about P&G's new product launching strategy. In this case I am responsible for survey data analysis and project financial analysis.]]> Sun, 18 Sep 2016 16:35:23 GMT /slideshow/pg-case-study-66142532/66142532 TAWEIHUANG@slideshare.net(TAWEIHUANG) P&G Case Study TAWEIHUANG This is a HBS case study about P&G's new product launching strategy. In this case I am responsible for survey data analysis and project financial analysis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pgcase-160918163523-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is a HBS case study about P&G's new product launching strategy. In this case I am responsible for survey data analysis and project financial analysis.

P&G Case Study from Ta-Wei (David) Huang

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0 Is SPIL a right choice for FOXCONN to acquire in the packaging industry? /slideshow/is-spil-a-right-choice-for-foxconn-to-acquire-in-the-packaging-industry/66142353 finalpresentationdavid-160918162304
This is the final project when I was a junior member in BizPro. In this project I conducted strategic researches about the semi-conductor packaging industry, and then built valuation models using comparable analysis and discounted cashflow valuation.]]>
This is the final project when I was a junior member in BizPro. In this project I conducted strategic researches about the semi-conductor packaging industry, and then built valuation models using comparable analysis and discounted cashflow valuation.]]> Sun, 18 Sep 2016 16:23:04 GMT /slideshow/is-spil-a-right-choice-for-foxconn-to-acquire-in-the-packaging-industry/66142353 TAWEIHUANG@slideshare.net(TAWEIHUANG) Is SPIL a right choice for FOXCONN to acquire in the packaging industry? TAWEIHUANG This is the final project when I was a junior member in BizPro. In this project I conducted strategic researches about the semi-conductor packaging industry, and then built valuation models using comparable analysis and discounted cashflow valuation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finalpresentationdavid-160918162304-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is the final project when I was a junior member in BizPro. In this project I conducted strategic researches about the semi-conductor packaging industry, and then built valuation models using comparable analysis and discounted cashflow valuation.

Is SPIL a right choice for FOXCONN to acquire in the packaging industry? from Ta-Wei (David) Huang

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/causalinference-211201001438-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/causal-inference-in-marketing/250758334 Causal Inference in Ma... https://cdn.slidesharecdn.com/ss_thumbnails/20200425datascienceinbusinessvf-200425135023-thumbnail.jpg?width=320&height=320&fit=bounds TAWEIHUANG/data-science-in-business-232635209 Data Science in Busine... https://cdn.slidesharecdn.com/ss_thumbnails/20191008dsmeetupsharing-191008161824-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/customer-analytics-best-practice-180088778/180088778 Customer Analytics Bes...