學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Continuous Quality Monitoring via Data and Analytics at The Estée Lauder Companies
內容大綱
The Estée Lauder Companies (ELC) is a leading manufacturer and marketer of prestige skincare, makeup, fragrance, and haircare products with annual sales of over $14 billion in 2020. ELC had a long-standing commitment to "High Touch" customer service, inviting and tracking all feedback from consumers. ELC had recently moved from a manual to an automated tracking platform, positioning the company to more efficiently handle customer feedback. This platform and the data it aggregated was put to the test in August 2020 when the Consumer Care Analytics & Insights Group noticed an uptick in contact volume largely generated from China. The team also noticed that the increase was driven almost exclusively by complaints. The spike was especially cause for concern given that ELC had a 100% return policy with no questions asked, so customer complaints often led to returns and lost revenue. In this case, students are asked to consider potential root causes of the increased online customer complaints-and based on their hypotheses, what type of analysis and potential interventions they would recommend.