稻盛和夫成功经营之道 Dr Kazuo Inamori's Philosophy of BusinessOng Geok Chwee
稻盛和夫先生以哲学与实学的结合,成功地创立了两家500强企业又把日航从破产的边沿抢救回来,是企业界的传奇。我们可以从他的哲学与实学中学习,把企业管理推向另一高峰。Dr Kazuo Inamori's Philosophy of success and his implementation of amoeba management enabled his creation of two Fortune 500 companies and turn around JAL. Learning from these case studies enable us to apply these to our business and drive sustainable growth.
稻盛和夫成功经营之道 Dr Kazuo Inamori's Philosophy of BusinessOng Geok Chwee
稻盛和夫先生以哲学与实学的结合,成功地创立了两家500强企业又把日航从破产的边沿抢救回来,是企业界的传奇。我们可以从他的哲学与实学中学习,把企业管理推向另一高峰。Dr Kazuo Inamori's Philosophy of success and his implementation of amoeba management enabled his creation of two Fortune 500 companies and turn around JAL. Learning from these case studies enable us to apply these to our business and drive sustainable growth.
B2B marketing and sales field has long been ignored by both schools and industries worldwide for a long time. After being in the B2B M&S for more than 33 years, I finally have an opportunity to promote it officially on campuses here in Taiwan to students who are entitled to it with great genuine contents.
This document discusses data cleaning methods for rating and review data from the Google Play Store. It covers:
1. The datasets used which include web crawler data, Google Play Store ratings, and user reviews.
2. The data cleaning process including removing special characters, transforming data types, handling missing values, and splitting text fields.
3. Building a database in MySQL and importing the cleaned data along with defining data types, primary keys, and integrity constraints.
4. Additional text cleaning of user reviews including removing punctuation, tokenization, removing stop words, and lemmatization.
5. Proposed workflow models in OpenRefine for cleaning the rating and review data and future work on improving collaboration
This document summarizes research on predicting COVID-19 recovery rates. It first analyzes the relationship between medical resources (physician and hospital bed densities) and recovery rates, finding no significant impact. A second analysis examines country development level (GDP and life expectancy) and finds a significant association, with higher development linked to higher recovery. A multiple regression model is developed to predict recovery rates based on these development variables and medical resources. In conclusion, country development level but not solely medical resources appears to impact COVID-19 recovery rates.
B2B marketing and sales field has long been ignored by both schools and industries worldwide for a long time. After being in the B2B M&S for more than 33 years, I finally have an opportunity to promote it officially on campuses here in Taiwan to students who are entitled to it with great genuine contents.
This document discusses data cleaning methods for rating and review data from the Google Play Store. It covers:
1. The datasets used which include web crawler data, Google Play Store ratings, and user reviews.
2. The data cleaning process including removing special characters, transforming data types, handling missing values, and splitting text fields.
3. Building a database in MySQL and importing the cleaned data along with defining data types, primary keys, and integrity constraints.
4. Additional text cleaning of user reviews including removing punctuation, tokenization, removing stop words, and lemmatization.
5. Proposed workflow models in OpenRefine for cleaning the rating and review data and future work on improving collaboration
This document summarizes research on predicting COVID-19 recovery rates. It first analyzes the relationship between medical resources (physician and hospital bed densities) and recovery rates, finding no significant impact. A second analysis examines country development level (GDP and life expectancy) and finds a significant association, with higher development linked to higher recovery. A multiple regression model is developed to predict recovery rates based on these development variables and medical resources. In conclusion, country development level but not solely medical resources appears to impact COVID-19 recovery rates.
The document discusses strategies for Ctrip to increase revenue. Descriptive analytics showed that product and mobile channels had the most unique visitors and pageviews, indicating they were most effective in driving awareness and action. Predictive models found that unique visitors and pageviews were highly correlated with online revenue. The strategies suggested focusing on strengthening the product channel through owned media like the website and apps, using community and search channels to attract new customers, and encouraging action through fast mobile checkouts.
The document provides an analysis and proposed new branding strategy for Giant, a bicycle company. It includes:
1) An initial SWOT and STP analysis that identifies weaknesses in brand positioning and wide customer targeting.
2) A revised STP analysis that segments customers based on personality and lifestyle to target high-income, elite customers.
3) A new branding strategy focused on creating an elite lifestyle through simple, fashionable products and customized service in flagship stores designed as cafes.
4) A revised mission and value proposition centered around providing a sense of global elite lifestyle and demonstrating unique taste.
5) Recommendations for offline and online marketing communication, including city runway events, minimalist flagship