1. Mining product maps for new product development Shu-Hsien Liao, Chia-Lin Hsieh, Sui-Ping Huang ScieneDirect 2008 Vipin Saini M964011062 許博淞 M964020009 陳昀志 M964020043

2. Outline Introduction Research Design Data mining and Result Discussions and future works Conclusion

3. Introduction NPD(new product development) is critical for long-term firm performance and competitive advantages. How to effectively process and use customer data is becoming increasingly important. Research issues ： the development of new cosmetic products.

4. Research design Research problems –With demand side consideration, develop a product map of customers’ demands. Data collection System framework Relational database design

5. Data mining Association rules –The simplest way to judge the standard is to use the lift judgement. Data mining tool – SPSS clementine –The most powerful enterprise data mining workbenches Data mining process

6. Data Mining Results New product development analysis  Personal care products 1.Basic personal care - complicated skin type 2.Basic personal care - oily skin type 3.Basic personal care – normal skin type 4.Special personal care  Cosmetics products

7. Data Mining Results Product map  Mining results for NPD 1.NPD pattern A: basic personal care- oriented product collection. 2.NPD pattern B: specific personal care- oriented product collection. 3.NPD pattern C: cosmetics-oriented product collection.

8. Data Mining Results  Mining results for price effects 1.NPD pattern D: price effects for basic personal care-oriented product collection. 2.NPD pattern E: price effects for cosmetics-oriented product collection.

9. Discussions and future works New Product Development –Reach the enterprise’s sales goals. Demand chain management –Market segmentation,customer satisfaction, and customization.

10. Discussions and future works Demand chain and Supply chain –Understanding the market and enhance innovation capabilities. Database approach –Knowledge of supplier’s capabilities, customer’s requirements, and providing decision support. Product map –Visualization of association rules.

11. Conclusion The customer’s experiences and preferences should considered in developing the product. Fulfilling customer demands and provide friendly service brings the loyalty from customers.

12. Thanks For Your Listening!